Zhengchang Wu | Veterinary Medicine | Best Researcher Award

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Prof. Zhengchang Wu | Veterinary Medicine | Best Researcher Award 

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Zheng-chang Wu is a Professor in the Department of Animal Science at Yangzhou University, specializing in animal genetics, breeding, and reproduction. He earned his Ph.D. (2017), M.Sc. (2013), and B.Sc. (2011) from Yangzhou University. As a visiting scholar at Agriculture and Agri-Food Canada (2018-2019), he expanded his expertise in livestock genetics. His research focuses on genetic resistance to Escherichia coli infections in pigs, genome-wide association studies, and epigenetic regulation in livestock. He has secured funding from the Jiangsu Agricultural Science and Technology Innovation Fund and the Natural Science Foundation of Jiangsu Province. An accomplished researcher, Dr. Wu has published extensively in high-impact journals, contributing significantly to disease resistance in swine populations.

Prof. Zhengchang Wu | Yangzhou University | China

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🎓Education

  • Zheng-chang Wu pursued his academic journey at Yangzhou University, where he earned his Bachelor of Science degree in 2011. He continued his education at the same institution, obtaining a Master of Science degree in 2013 and a Ph.D. in Agricultural Science in 2017. His academic background has provided him with a strong foundation in animal genetics, breeding, and reproduction.

👨‍🏫Experience

  • Currently serving as a professor in the Department of Animal Sciences at Yangzhou University since September 2023, Zheng-chang Wu has made significant contributions to the field of animal genetics. His professional journey includes an international academic exchange as a visiting scholar at Agriculture and Agri-Food Canada (AAFC) in Ottawa, where he conducted research from May 2018 to May 2019.

🏆Awards and Recognitions

  • Zheng-chang Wu has received recognition for his research through multiple grants and funding projects. He has secured support from the Jiangsu Agricultural Science and Technology Innovation Fund for his study on genome-wide breeding strategies in the context of African Swine Fever. Additionally, his research on the CeRNA regulation mechanism of circ_FUT2 in Escherichia coli F18 resistance in weaned piglets has been funded by the Natural Science Foundation of Jiangsu Province.

💡Skills and Certifications

  • With a deep specialization in animal genetics, breeding, and reproduction, Zheng-chang Wu has developed extensive expertise in molecular biology, genome-wide association studies, and disease resistance mechanisms in pigs. His research integrates advanced genetic analysis techniques, including DNA methylation and RNA sequencing, to enhance breeding strategies and improve animal health.

🔬 Research Focus

  • Zheng-chang Wu’s research primarily explores the genetic mechanisms underlying disease resistance in pigs, with a particular focus on Escherichia coli F18 susceptibility. His studies investigate how genetic modifications, such as DNA methylation and non-coding RNA regulation, influence immune responses and resistance traits. Additionally, his work extends to porcine circovirus type 2 replication, genome-wide breeding strategies, and the functional roles of key genes in animal reproduction and immunity. His findings contribute significantly to animal breeding advancements and livestock disease control strategies.

🌎Conclusion

  • Based on his academic achievements, extensive research output, high-impact publications, and innovative contributions to animal genetics, Zheng-chang Wu is a highly suitable candidate for the Best Researcher Award. His ability to bridge fundamental research with practical applications in veterinary medicine sets him apart as a distinguished researcher in the field.

📖Publications

  • Paeoniflorin Inhibits Porcine Circovirus Type 2 Replication by Inhibiting Autophagy and Targeting AKT/mTOR Signaling

    • Authors: Z. Wu, Zhengchang; L. Yu, Luchen; Y. Hu, Yueqing; W. Bao, Wenbin; S. Wu, Shenglong
    • Journal: Veterinary Sciences, 2025

  • TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

    • Authors: Z. Bi, Zhenbin; W. Wang, Wei; S. Gu, Shanshen; W. Bao, Wenbin; H. Wang, Haifei
    • Journal: Veterinary Research, 2025

  • DNA ligase III mediates deoxynivalenol exposure-induced DNA damage in intestinal epithelial cells by regulating oxidative stress and interaction with PCNA

    • Authors: X. Zhu, Xiaoyang; J. Wu, Jiayun; X. Chen, Xiaolei; W. Bao, Wenbin; H. Fan, Hairui
    • Journal: International Journal of Biological Macromolecules, 2024

  • Identification of Tissue Expression Characteristics of Pig ALKBH5 and Its Association with Pathogenic Microbial Infection

    • Authors: Yuan Bian; Y. Xu, Yifan; W. Bao, Wenbin; Z. Wu, Zhengchang
    • Journal: Biology Bulletin, 2024

  • Characterization of the molecular role that ST3GAL1 plays in porcine susceptibility to E. coli F18 infection

    • Authors: Z. Wu, Zhengchang; M. Li, Meiqi; J. Wu, Jiayun; J. Jin, Jian; Y. Wu, Yanqing
    • Journal: International Journal of Biological Macromolecules, 2024

Haowen Wang | Recommendation System | Best Researcher Award

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Mr. Haowen Wang | Recommendation System| Best Researcher Award 

Haowen Wang is an AI researcher and data scientist specializing in machine learning and computational science. He holds a Master’s from Imperial College London and a Bachelor’s from Zhejiang University. Currently an Algorithm Researcher at Alipay, he previously worked at Tencent on recommendation and search algorithms. His research focuses on multi-task learning, causal inference, and deep learning, with publications in SIGKDD, ICLR, and ICONIP. He has won multiple awards, including first place in Kaggle’s “X-RAY Classification” competition.

Mr. Haowen Wang | AntGroup | China

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🎓Education

  • Haowen Wang obtained his Master of Applied Computational Science and Engineering from Imperial College London in 2021 with Merit. Before that, he completed his Bachelor of Engineering in Energy and Environment at Zhejiang University in 2020, where he was recognized as an Outstanding student.

👨‍🏫Experience

  • Currently, Haowen Wang is an Algorithm Researcher at Alipay, Alibaba Group, where he has developed advanced recommendation systems, improved diversity control, and proposed large-scale model tuning frameworks for multi-modal and multi-task learning. Prior to this, he worked as a Data Scientist at Tencent in Shenzhen and Beijing, where he was responsible for designing data warehouses, improving recommendation algorithms, and conducting large-scale data analysis to enhance user engagement. His experience includes optimizing search algorithms, user retention strategies, and recommendation systems through machine learning techniques and data-driven decision-making.

🏆Awards and Recognitions

  • Haowen Wang has earned several prestigious awards, including first place in Kaggle’s “X-RAY Classification” competition in 2021 and the championship of the KPMG Global Idea Challenge Greater China in 2020. He also won first place in the 12th National University Student Social Practice and Science Contest on Energy Saving & Emission Reduction in 2019, as well as third prize in the China University Students Mechanical Engineering Innovation and Creative Competition. Additionally, he was recognized as a top 10% member of the Excellent Engineer Plan in 2018.

💡Skills and Certifications

  • With a strong background in artificial intelligence and data science, Haowen Wang possesses expertise in machine learning, deep learning, neural networks, data engineering, and computational modeling. He is proficient in Python, Scala, Spark, SQL, and various AI frameworks. His skills extend to advanced algorithm development, data assimilation, and uncertainty quantification, with practical experience in implementing AI-driven solutions in real-world industrial applications.

🔬 Research Focus

  • His research primarily revolves around machine learning, artificial intelligence, and data science, with a strong emphasis on recommendation systems, uplift modeling, causal inference, and multi-task learning. He has made significant contributions to areas such as graph-based embedding for click-through rate prediction, multi-modal document question answering, and Bayesian optimization for sensor development. His expertise extends to deep learning applications in industrial AI and computational science.

🌎Conclusion

  • Given his extensive publication record, impactful research, interdisciplinary collaborations, and significant contributions to AI and data science, Haowen Wang is highly suitable for the Best Researcher Award. His work exemplifies innovation, scientific excellence, and practical relevance, making him a deserving candidate for this recognition.

📖Publications

  • GACE: Learning Graph-Based Cross-Page Ads Embedding for Click-Through Rate Prediction
    Authors: Haowen Wang, Yuliang Du, Congyun Jin, Yujiao Li, Yingbo Wang, Tao Sun, Piqi Qin, Cong Fan
    Journal: Communications in Computer and Science (Book chapter, 2024)

  • Navigating the complexity of hybrid materials without structural dependency: PerovGNN as a map
    Authors: Longhan Zhang, Temesgen Muruts Weldengus, Yu Meng, Siyuan Xu, Zhaoliang Lei, Haowen Wang, Yiteng Zhai, Yao Yang, Ruixuan Song, Jing Jiang
    Journal: Acta Materialia (2024-12)

  • RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning
    Authors: Congyun Jin, Ming Zhang, Weixiao Ma, Yujiao Li, Yingbo Wang, Yabo Jia, Yuliang Du, Tao Sun, Haowen Wang, Cong Fan et al.
    Journal: Conference paper (2024-08-25)

  • Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
    Authors: Haowen Wang, Tao Sun, Cong Fan, Jinjie Gu
    Journal: Preprint (2023)

  • From Beginner to Expert: Modeling Medical Knowledge into General LLMs
    Authors: Qiang Li, Xiaoyan Yang, Haowen Wang, Qin Wang, Lei Liu, Junjie Wang, Yang Zhang, Mingyuan Chu, Sen Hu, Yicheng Chen et al.
    Journal: Preprint (2023)

Yunling Wu | Materials Science | Best Researcher Award

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Assoc. Prof. Dr. Yunling Wu | Materials Science | Best Researcher Award 

Yunling Wu is an Associate Professor at Nanjing Tech University. He earned his Ph.D. in Chemistry from Soochow University in 2019 and later conducted postdoctoral research in Prof. Yanguang Li’s group. His research focuses on novel organic electrode materials, including MOFs, COFs, HOFs, and conjugated polymers, optimizing their structures for enhanced electrochemical performance. He has led multiple research projects funded by the National Natural Science Foundation of China (NSFC) and has published 32 SCI-indexed papers. He also serves as a Youth Editorial Board member for Carbon Neutralization and Energy Lab, contributing to advancements in sustainable energy storage technologies.

Assoc. Prof. Dr. Yunling Wu | Nanjing Tech University | China

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🎓Education

  • Yunling Wu earned a Ph.D. in Chemistry from Soochow University in June 2019 under the supervision of Prof. Yanguang Li. During his doctoral studies, he focused on the development of novel organic electrode materials, laying a strong foundation for his future research in electrochemical energy storage.

👨‍🏫Experience

  • Following his Ph.D., Yunling Wu continued his research as a postdoctoral fellow in Prof. Li’s group from 2019 to 2022. His work during this period deepened his expertise in organic electrode materials and their applications in energy storage systems. In 2022, he joined Nanjing Tech University as an Associate Professor, where he leads cutting-edge research in advanced battery materials.

🏆Awards and Recognitions

  • Yunling Wu has received competitive research grants, including funding from the National Natural Science Foundation of China (NSFC) and the China Postdoctoral Science Foundation. His contributions to the field have been recognized with editorial appointments, serving as a Youth Editorial Board member for Carbon Neutralization and Energy Lab.

💡Skills and Certifications

  • With a strong background in chemistry and materials science, Yunling Wu specializes in the synthesis and structural optimization of novel organic electrode materials, including metal-organic frameworks (MOFs), covalent organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs), and conjugated polymers. His expertise extends to electrochemical performance analysis, charge storage mechanisms, and the stability of battery materials.

🔬 Research Focus

  • Yunling Wu’s research is centered on developing high-performance organic electrode materials for next-generation energy storage devices. His work aims to enhance the energy density, cycling stability, and conductivity of battery materials through molecular engineering and structural design. By optimizing the electrochemical properties of organic frameworks, his research contributes to the advancement of sustainable and efficient energy storage technologies.

🌎Conclusion

  • Given his outstanding contributions, research leadership, and influence in the field of electrochemical energy storage, Yunling Wu is a highly suitable candidate for the Best Researcher Award. His work has broad implications for next-generation battery technology, making him a strong contender for recognition in scientific excellence.

📖Publications

  • Molecular Engineering of Organic Electrode Materials for Beyond Lithium-Ion Batteries
    Authors: Yunling Wu, Hualin Ye, Yanguang Li
    Journal: Advanced Functional Materials, 2025

  • Graphitic Carbon Nitride (g-C₃N₄) as an Electrolyte Additive Boosts Fast-Charging and Stable Cycling of Graphite Anodes for Li-Ion Batteries
    Authors: Jinze Song, Haoyu Qi, Wangsheng Yuan, Lijun Fu, Yuping Wu
    Journal: Journal of Materials Chemistry A, 2024

  • Challenges and Advances in Rechargeable Batteries for Extreme-Condition Applications
    Authors: Jialing Wu, Yunling Wu, Liguang Wang, Jun Lu, Yanguang Li
    Journal: Advanced Materials, 2024

Yunhai Xiong | 2D Materials | Best Researcher Award

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Dr. Yunhai Xiong | 2D Materials | Best Researcher Award 

Yunhai Xiong is a researcher at the School of Materials Science and Engineering, Nanjing University of Science and Technology. His work focuses on the classification, synthesis, and application of 2D nonlayered materials, specializing in chemical vapor deposition (CVD) techniques and atomic-scale characterization. He has made significant contributions to understanding the physical properties of these materials and their applications in next-generation transistors. With expertise in material synthesis, spectroscopic analysis, and device fabrication, his research aims to advance the development of high-performance electronic materials.

Dr. Yunhai Xiong | Nanjing University of Science and Technology | China

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🎓Education

  • Yunhai Xiong holds a degree in Materials Science and Engineering, specializing in the synthesis and characterization of advanced materials. His academic background has provided him with a strong foundation in chemical vapor deposition (CVD) techniques and the study of two-dimensional materials.

👨‍🏫Experience

  • With extensive experience in materials research, Yunhai Xiong has conducted in-depth studies on nonlayered materials, exploring their chemical composition, crystal structures, and unique properties. He has worked on optimizing CVD growth methods to synthesize high-quality 2D materials and has utilized spectroscopic and atomic-scale characterization techniques to investigate their physical behaviors. His research extends to the development of next-generation electronic devices, particularly transistors, where he has contributed to advancing material applications.

🏆Awards and Recognitions

  • Throughout his career, Yunhai Xiong has received recognition for his contributions to materials science, earning prestigious awards for his research on 2D materials and their applications in electronics. His work has been acknowledged in leading scientific conferences and journals, reflecting the impact of his findings on the field.

💡Skills and Certifications

  • Yunhai Xiong possesses expertise in chemical vapor deposition, spectroscopic analysis, atomic-scale characterization, and device fabrication. His proficiency in material synthesis and analysis allows him to develop innovative approaches for studying nonlayered materials and their electronic applications.

🔬 Research Focus

  • His research primarily revolves around the classification, synthesis, and application of 2D nonlayered materials. By tailoring CVD techniques for specific material systems, he aims to improve the quality and scalability of 2D specimens. His studies on physical properties and structural characteristics provide valuable insights into their potential for electronic applications, particularly in transistor technology. Through his work, he seeks to pave the way for future advancements in the field of 2D materials and their integration into cutting-edge electronic devices.

🌎Conclusion

  • Given his exceptional research contributions, strong publication record, and innovative impact on multiple scientific disciplines, Yunhai Xiong is highly suitable for the Best Researcher Award. His work continues to push the boundaries of 2D material applications, making him a deserving candidate for recognition in scientific excellence.

📖Publications

  • Vapour–liquid–solid–solid growth of two-dimensional non-layered β-Bi₂O₃ crystals with high hole mobility
    Authors: Yunhai Xiong, Duo Xu, Yousheng Zou, Lili Xu, Yujie Yan, Jianghua Wu, Chen Qian, Xiufeng Song, Kairui Qu, Tong Zhao et al.
    Journal: Nature Materials

  • Moiré Engineering of Spin–Orbit Torque by Twisted WS₂ Homobilayers
    Authors: Xiaorong Liang, Penghao Lv, Yunhai Xiong, Xi Chen, Di Fu, Yiping Feng, Xusheng Wang, Xiang Chen, Guizhou Xu, Erjun Kan et al.
    Journal: Advanced Materials

  • P‐Type 2D Semiconductors for Future Electronics
    Authors: Yunhai Xiong, Duo Xu, Yiping Feng, Guangjie Zhang, Pei Lin, Xiang Chen
    Journal: Advanced Materials

  • Ultrasensitive photodetector based on 2D WS₂/AgInGaS quantum dots heterojunction with interfacial charge transfer
    Authors: Xusheng Wang, Danni Yan, Cheng Zhu, Yiping Feng, Tingting Guo, Runmeng Jia, Kairui Qu, Linyun Li, Tong Zhao, Yunhai Xiong et al.
    Journal: 2D Materials

  • Fast and direct identification of SARS‐CoV‐2 variants via 2D InSe field‐effect transistors
    Authors: Duo Xu, Junji Li, Yunhai Xiong, Han Li, Jialin Yang, Wenqiang Liu, Lianfu Jiang, Kairui Qu, Tong Zhao, Xinyu Shi et al.
    Journal: InfoMat

Wenyan Wang | Biological Information | Best Researcher Award

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Dr. Wenyan Wang | Biological Information | Best Researcher Award 

Wang Wenyan is a PhD student at Anhui University of Technology, specializing in Metallurgical Engineering with a focus on Metallurgical Intelligent Manufacturing. She holds a master’s degree in Control Theory and Control Engineering and a bachelor’s degree in Automation from the same university. Her research centers on artificial intelligence applications in industrial automation and defect detection. She has contributed to patents on apple leaf disease identification using convolutional neural networks and steel surface defect detection. Proficient in C programming and fluent in English (CET-6), she combines technical expertise with innovation in intelligent manufacturing.

Dr. Wenyan Wang | Anhui University of technology | China

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🎓Education

  • Wang Wenyan is currently a PhD student at Anhui University of Technology, specializing in Metallurgical Engineering with a focus on Metallurgical Intelligent Manufacturing. She pursued her master’s degree at the same university from September 2015 to June 2018 in Control Theory and Control Engineering. Her academic journey began at the Anhui University of Technology Business School, where she earned a bachelor’s degree in Automation from September 2011 to June 2015.

👨‍🏫Experience

  • Throughout her academic career, Wang Wenyan has been deeply involved in research and development, particularly in the areas of intelligent manufacturing and industrial automation. Her work integrates advanced control theories and computational techniques to enhance metallurgical processes.

🏆Awards and Recognitions

  • Wang Wenyan has contributed to groundbreaking research in the field of intelligent manufacturing, securing patents that demonstrate her innovative capabilities. She played a key role in the development of a convolutional neural network-based method for identifying apple leaf diseases, which was authorized in 2021. Additionally, she co-developed a method for detecting surface defects in steel products, balancing speed and accuracy, which is currently under examination.

💡Skills and Certifications

  • With a strong technical background, Wang Wenyan is proficient in C programming and has achieved a Level 2 certification. She also has a solid command of the English language, having passed the CET-6 exam. Her expertise lies in control engineering, artificial intelligence applications, and industrial automation.

🔬 Research Focus

  • Her research is centered on intelligent manufacturing within the metallurgical industry, particularly in the application of artificial intelligence and control systems to optimize industrial processes. She is actively engaged in developing advanced defect detection techniques and automation solutions that enhance efficiency and precision in metallurgical engineering.

🌎Conclusion

  • With her strong technical skills, research impact, and pioneering work in intelligent automation, Dr. Wang Wenyan is a highly deserving candidate for the Best Researcher Award. Her contributions hold significant promise for enhancing industrial efficiency, quality control, and smart manufacturing systems.

📖Publications

  • Prediction of colorectal cancer microsatellite instability and tumor mutational burden from histopathological images using multiple instance learning
    Authors: W. Wang, Wenyan; W. Shi, Wei; C. Nie, Chuanqi; B. Wang, Bing; J. Yang, Jialiang
    Journal: Biomedical Signal Processing and Control, 2025

  • SOKD: A Soft Optimization Knowledge Distillation Scheme for Surface Defects Identification of Hot-Rolled Strip
    Authors: W. Wang, Wenyan; Z. Ren, Zheng; C. Wang, Cheng; X. Pan, Xuejuan; B. Wang, Bing
    Journal: ISIJ International, 2025

  • Improving bearing fault diagnosis method based on the fusion of time–frequency diagram and a novel vision transformer
    Authors: J. Wang, Jingyuan; Y. Zhao, Yuan; W. Wang, Wenyan; Z. Wu, Ziheng
    Journal: Journal of Supercomputing, 2025

Hailong Qiu | Catalyze | Best Researcher Award

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Assoc. Prof. Dr. Hailong Qiu | Catalyze| Best Researcher Award 

Qiu Hailong is an Associate Professor at Tianjin University of Technology, specializing in functional crystals, optoelectronic materials, and semiconductor research. He holds a Ph.D. in Chemical Engineering & Technology from Harbin Institute of Technology and has completed joint training at UC San Diego and the National University of Singapore. His research focuses on photodetection, electrocatalysis, and nonlinear optics, with numerous high-impact publications in leading journals. Recognized for his contributions, he was selected for the Tianjin Innovation Talent Cultivation Program (2020–2022). His expertise spans material synthesis, photoluminescence, and advanced semiconductor technologies.

Assoc. Prof. Dr. Hailong Qiu | Tianjin University of Technology | China

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🎓Education

  • Qiu Hailong holds a Ph.D. in Chemical Engineering & Technology from Harbin Institute of Technology (2010-2014). His academic journey includes joint Ph.D. training in Chemistry & Biochemistry at UC San Diego (2011-2013) and joint M.S. training in Chemical & Biomolecular Engineering at the National University of Singapore (2009-2010). He also earned an M.S. in Inorganic Chemistry (2008-2009) and a B.S. in Applied Chemistry (2004-2008) from Harbin Institute of Technology.

👨‍🏫Experience

  • Qiu Hailong has an extensive academic and research background. Since 2018, he has been serving as an Associate Professor at Tianjin University of Technology. Before that, he worked as a Lecturer at Harbin Institute of Technology (2014-2017) and was a Postdoctoral Researcher at Tsinghua University (2014-2016). His diverse experience across top institutions has significantly contributed to his expertise in functional crystals and material sciences.

🏆Awards and Recognitions

  • Qiu Hailong has been recognized for his contributions to research and innovation. Notably, he was selected for the Tianjin “Innovation Talent Cultivation Program for Young and Middle-Aged Scholars” (2020–2022), which highlights his excellence in scientific research and his potential for driving advancements in his field.

💡Skills and Certifications

  • With a strong foundation in chemical engineering, materials science, and nanotechnology, Qiu Hailong possesses expertise in optoelectronic materials, photoluminescence, laser damage studies, and crystal synthesis. His skills extend to chemical vapor transport methods, semiconductor material development, and electrocatalytic applications, making him a leading researcher in functional materials.

🔬 Research Focus

  • Qiu Hailong’s research is centered on functional crystals, optoelectronic materials, and their applications in photodetection, electrocatalysis, and nonlinear optics. His work explores advanced semiconductor materials such as 2D-SiP, SiAs single crystals, and Weyl semimetals, contributing to breakthroughs in photonic and electronic devices. His studies on photoluminescence, laser damage resistance, and doping effects on optoelectronic properties aim to enhance material performance for next-generation technologies.

🌎Conclusion

  • With his strong academic foundation, outstanding research in functional materials, and recognized leadership, Dr. Qiu Hailong stands out as a deserving recipient of the Best Researcher Award. His pioneering contributions to the field continue to influence scientific advancements and industrial innovations worldwide.

📖Publications

  • Photoluminescence Behaviors of 2D-Cs3Bi2I9/2D-MoS2 Vertical Heterostructures Prepared by the One-Step CVT Growth Method
    Authors: Bojin Zhao, Qiubo Chen, Yukai An, Zhanggui Hu, Yicheng Wu
    Journal: ACS Applied Optical Materials, 2024

  • 976 nm Continuous-Wave Laser Damage of Er:CaF2 Crystals
    Authors: Haiyang Wang, Mengxia Wang, Zhen Zhang, Liangbi Su, Jianda Shao
    Journal: High Power Laser Science and Engineering, 2024

  • Effective Self-Powered Semimetal TaTe2 Photodetector with the Thermal Localization Photothermoelectric Effect from Ultraviolet to Mid-Infrared Range
    Authors: Cong Xia, Tong Yu, Jianying Liu, Jiyang Wang, Yicheng Wu
    Journal: Advanced Optical Materials, 2024

Jie Lin | Economics | Best Researcher Award

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Dr. Jie Lin | Economics | Best Researcher Award 

Dr. Jie Lin is a faculty member at the College of Accounting and Finance, Guangdong Polytechnic of Science and Technology. He holds a Ph.D. in Industrial Economics from Jinan University (2018–2022). His research focuses on intelligence science, knowledge economics, international innovation collaboration, and open innovation. His work integrates AI-driven analytics with economic models to optimize knowledge ecosystems and global R&D networks.

Dr. Jie Lin | Guangdong Polytechnic of Science and Technology | China

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🎓Education

  • Jie Lin holds a Ph.D. in Industrial Economics from the Institute of Industrial Economics at Jinan University, where he studied from 2018 to 2022. His academic background combines expertise in economics with a strong focus on innovation and knowledge systems.

👨‍🏫Experience

  • Jie Lin is currently a faculty member at the College of Accounting and Finance, Guangdong Polytechnic of Science and Technology. His professional experience encompasses both academia and research, specializing in cross-disciplinary studies that integrate intelligence science and economic principles to enhance innovation and global collaboration.

🏆Awards and Recognitions

  • Jie Lin’s research contributions have been widely recognized in the academic community, particularly in the fields of international innovation collaboration and open innovation strategies. His work has been published in leading journals, demonstrating his impact on policy-making and technological advancements.

💡Skills and Certifications

  • With a strong analytical background, Jie Lin specializes in AI-driven economic modeling, policy design for global R&D networks, and the development of open innovation frameworks. His expertise extends to knowledge ecosystem optimization, interdisciplinary research methodologies, and strategic innovation management.

🔬 Research Focus

  • Jie Lin’s research revolves around intelligence science and knowledge economics, where he explores the integration of AI-driven analytics with economic models to optimize knowledge ecosystems. He is deeply engaged in international innovation collaboration, focusing on policy design for global R&D networks and technology transfer mechanisms. His work in open innovation examines strategies for fostering public-private partnerships and knowledge spillovers, contributing to sustainable development and technological progress.

🌎Conclusion

  • Dr. Jie Lin’s groundbreaking contributions, interdisciplinary expertise, and international research impact make him an exceptional candidate for the Research for Best Researcher Award. Recognizing his work would highlight the importance of knowledge-driven economic policies and technological innovation in shaping the future of global sustainability and development.

📖Publications

  • The Impacts of Technological Overlap on International Collaboration in China’s Green Innovation Endeavors
    Authors: Jie Lin, Jianbin Li
    Journal: Scientific Reports, 2025

  • Impacts of Codified Knowledge Index on the Allocation of Overseas Inventors by Emerging Countries: Evidence from PCT Patent Activities in China
    Authors: Hao Zhou, Jie Lin
    Journal: Scientometrics, 2023

  • How Does the Codified Knowledge Relatedness Influence Foreign Intelligence Import in Emerging Countries: Evidence from Chinese PCT Activities
    Authors: Hao Zhou, Jie Lin
    Journal: Preprint, 2022

  • Impact of Codified Knowledge Index on the Allocation of Overseas Inventors by Emerging Countries—Evidence from PCT Patent Activities in China
    Authors: Hao Zhou, Jie Lin
    Journal: Preprint, 2022

Lu Yao | Economics | Best Researcher Award

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Dr. Lu Yao | Economics | Best Researcher Award 

Dr. Lu Yao is a researcher specializing in digital infrastructure and green technology innovation. As a lecturer at Taiyuan Normal University, her work focuses on integrating digital transformation with sustainability initiatives to drive regional economic and environmental progress in Shanxi Province. She has led multiple research projects, contributed to policy recommendations, and collaborated with industry stakeholders to optimize resource utilization and industrial transformation. With expertise in digital solutions, policy analysis, and data-driven research, Dr. Lu’s work bridges technological innovation and sustainable development, fostering a digitally empowered and eco-friendly economy.

Dr. Lu Yao | Taiyuan Normal University | China

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🎓Education

  • Dr. Lu Yao holds a doctoral degree in digital infrastructure and green technology innovation. Her academic journey has been dedicated to exploring the intersection of digital transformation and sustainable development, equipping her with a strong foundation in policy research, environmental sustainability, and technological advancements.

👨‍🏫Experience

  • As a lecturer at Taiyuan Normal University, Dr. Lu has been actively engaged in both teaching and research, focusing on integrating digital infrastructure with green technology solutions. She has led and participated in various projects aimed at regional economic transformation and environmental sustainability. Her work extends beyond academia, involving collaborations with industries and policymakers to implement digital solutions that drive sustainable growth.

🏆Awards and Recognitions

  • Dr. Lu’s contributions to digital and green technology innovation have been recognized through multiple awards and honors. Her groundbreaking research on sustainable digital transformation has earned her accolades from academic institutions, research organizations, and government bodies. Her work in policy-driven development has also been acknowledged for its impact on regional sustainability strategies.

💡Skills and Certifications

  • Dr. Lu possesses expertise in digital infrastructure, green technology innovation, policy analysis, and data-driven research methodologies. She is proficient in developing strategic frameworks that integrate digital solutions with sustainability initiatives. Her skills also include interdisciplinary research, collaboration with industry stakeholders, and the application of digital transformation strategies to real-world environmental challenges.

🔬 Research Focus

  • Dr. Lu’s research revolves around leveraging digital infrastructure to enhance sustainability and green technology innovation. She explores how digital transformation can optimize resource utilization, drive eco-friendly advancements, and support industrial transformation in Shanxi Province. Her work has contributed to policy recommendations and strategic frameworks that integrate technology into sustainable development efforts. Through empirical studies and data-driven insights, she examines the impact of digital platforms on environmental sustainability, bridging the gap between innovation and practical implementation in regional economic growth.

🌎Conclusion

  • Dr. Lu Yao’s research excellence, cross-disciplinary impact, and commitment to sustainable digital transformation make her a highly deserving candidate for the Research for Best Researcher Award. Honoring her with this award would recognize her groundbreaking work in green technology innovation, policy recommendations, and the integration of digital infrastructure for sustainable development.

📖Publications

  •  Research on Digital Infrastructure Construction Empowering New Quality Productivity
    Authors: Yao Lu, Aoyu Li, Erwang Yan
    Journal: Scientific Reports, 2025

Feng Chen | Crop Genetics | Best Researcher Award

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Prof. Feng Chen | Crop Genetics | Best Researcher Award 

Feng Chen is a distinguished professor and Vice Dean of the Agronomy College at Henan Agricultural University. He earned his BS and MS degrees from Henan Agricultural University and completed his PhD at the Chinese Academy of Agricultural Sciences. With extensive postdoctoral research experience in genetics at the Chinese Academy of Sciences, Washington State University, and the University of Bologna, he has also been a visiting scholar at the University of California, Davis. His research focuses on genetics and plant breeding, aiming to enhance crop resilience and agricultural sustainability. Through academic leadership and international collaborations, he continues to contribute significantly to agricultural science and education.

Prof. Feng Chen |Henan Agricultural University | China

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🎓Education

  • Feng Chen completed his Bachelor’s and Master’s degrees at Henan Agricultural University from 1996 to 2003. He then pursued his PhD at the Chinese Academy of Agricultural Sciences, where he conducted in-depth research from 2003 to 2006.

👨‍🏫Experience

  • After earning his doctorate, Feng Chen engaged in postdoctoral research in genetics at the Institute of Genetics and Development Biology, Chinese Academy of Sciences, from 2006 to 2008. He further expanded his research expertise internationally, serving as a postdoctoral researcher at Washington State University, USA, in 2008 and later at the University of Bologna, Italy, from 2009 to 2010. His global academic experience continued as a visiting scholar at the University of California, Davis, from 2012 to 2013. Since March 2010, he has been a distinguished professor at Henan Agricultural University, where he plays a significant role in advancing agricultural research and education. In September 2022, he was appointed Vice Dean of the Agronomy College at Henan Agricultural University, further contributing to academic leadership and institutional development.

🏆Awards and Recognitions

  • Throughout his career, Feng Chen has received numerous awards for his contributions to agricultural science and genetics. His research achievements have been recognized both nationally and internationally, reflecting his dedication to scientific advancement and education.

💡Skills and Certifications

  • Feng Chen possesses extensive expertise in genetics, plant breeding, and agricultural sciences. His skills encompass advanced genetic research methodologies, cross-disciplinary collaboration, and academic leadership. With a strong background in both theoretical and applied agricultural research, he has significantly contributed to the development of innovative farming techniques and sustainable agricultural practices.

🔬 Research Focus

  • Feng Chen’s research primarily revolves around genetics and plant breeding, with a particular focus on improving crop resilience and productivity. His work integrates cutting-edge genetic technologies to enhance agricultural sustainability and food security. Through international collaborations and interdisciplinary studies, he continues to drive impactful research that addresses global agricultural challenges.

🌎Conclusion

  • Dr. Feng Chen’s outstanding research achievements, leadership, and international impact make him a highly deserving candidate for the Research for Best Researcher Award. His work in genetic advancements in agronomy not only enhances scientific knowledge but also contributes to solving real-world agricultural challenges. Honoring him with this award would recognize his dedication to advancing agricultural sciences, global food security, and innovative farming solutions.

📖Publications

  • TaRLK‐6A promotes Fusarium crown rot resistance in wheat
    Authors: Haijun Qi, Xiuliang Zhu, Wenbiao Shen, Xia Yang, Chaozhong Zhang, Genying Li, Feng Chen, Xuening Wei, Zengyan Zhang
    Journal: Journal of Integrative Plant Biology

  • A TaSnRK1α Modulates TaPAP6L‐Mediated Wheat Cold Tolerance through Regulating Endogenous Jasmonic Acid
    Authors: Lingran Zhang, Ning Zhang, Sisheng Wang, Hongyan Tian, Lu Liu, Dan Pei, Xiaodong Yu, Lei Zhao, Feng Chen
    Journal: Advanced Science

  • Integrated genome‐wide association study and QTL mapping reveals qSa‐3A associated with English grain aphid, Sitobion avenae (Fabricius) resistance in wheat
    Authors: Yue Zhao, Xuefang Yan, Zhankui Zeng, Dehui Zhao, Peng Chen, Yuying Wang, Feng Chen, Chunping Wang
    Journal: Pest Management Science

  • First Record of Cyst Nematode (Heterodera filipjevi) on Winter Wheat from Shanxi Province in North China
    Authors: Haohao Ren, Xiangkui Xu, Changbin Ge, Bo Zhou, Shijun Jiang, Lin Zhou, Pingan Liao, Feng Chen, Jiangkuan Cui
    Journal: Plant Disease

  • Mapping QTL conferring flag leaf senescence in durum wheat cultivars
    Authors: Yan Ren, Xiaonan Sun, Jingyun Nie, Peng Guo, Xiaohui Wu, Yixiao Zhang, Mengjuan Gao, Mohsin Niaz, Xia Yang, Congwei Sun et al.
    Journal: Molecular Breeding

Dengke Bao | Tumor biology | Best Researcher Award

Published on by China Scientist

Prof. Dr. Dengke Bao | Tumor biology | Best Researcher Award 

Dengke Bao, Ph.D., is a professor, Ph.D. supervisor, and Deputy Dean at the School of Pharmacy, Henan University. He is a recipient of the Excellent Youth Fund Project of the Henan Natural Science Foundation and the 2022 China Postdoctoral Science Foundation Funding. His research focuses on mitochondria-related mechanisms in tumorigenesis, cancer progression, and immune regulation. He has published 20+ SCI-indexed papers in top journals like Oncogene and Cell Death & Disease and serves as an editorial member for Scientific Reports. His work provides new insights into tumor microenvironment remodeling and drug resistance in cancer therapy.

Prof. Dr. Dengke Bao | Henan University | China

Profile

SCOPUS ID

ORCID ID

🎓Education

  • Dengke Bao holds a Ph.D. and has established himself as a distinguished professor and Ph.D. supervisor. His academic journey has been marked by excellence, leading to his recognition as a Program for Central Plains Youth Top Talent and a recipient of multiple prestigious research grants.

👨‍🏫Experience

  • Currently serving as the Deputy Dean of the School of Pharmacy at Henan University, Dengke Bao has played a pivotal role in advancing molecular diagnostics and therapy. He is also the Deputy Director of the Henan Engineering Research Center for Molecular Diagnosis and Therapy of Esophageal Cancer and the Director of the Laboratory of Biomarkers and Liquid Biopsy in Kaifeng. His work has significantly contributed to understanding mitochondria-related mechanisms in tumorigenesis, cancer progression, and tumor immune regulation.

🏆Awards and Recognitions

  • Dengke Bao has been honored with numerous awards, including the Excellent Youth Fund Project of the Henan Natural Science Foundation and recognition as a Young Core Instructor of Henan. He was also a recipient of the 2022 China Postdoctoral Science Foundation Funding, highlighting his exceptional contributions to the field of oncology research.

💡Skills and Certifications

  • With a deep expertise in tumor biology and the tumor microenvironment, Dengke Bao specializes in investigating mitochondrial damage-associated molecular patterns (DAMPs) and their role in inflammatory responses and cancer therapy resistance. His research combines molecular biology, oncology, and immunology to uncover new therapeutic strategies for hepatocellular carcinoma (HCC) and other malignancies.

🔬 Research Focus

  • Dengke Bao’s research is centered on understanding how mitochondrial damage-associated molecular patterns influence the tumor microenvironment and immune regulation. His groundbreaking study demonstrated that sorafenib treatment in HCC induces the release of mitochondrial DNA into the tumor microenvironment, promoting M2 macrophage polarization through TLR9 activation and enhancing sorafenib resistance. His findings offer a new perspective on targeting mitochondrial DAMPs to reprogram tumor-associated macrophages, providing novel strategies to improve therapeutic efficacy and overcome drug resistance in cancer treatment.

 📚 Publications and Editorial Roles

  • Dengke Bao has authored over 20 SCI-indexed papers as a first or corresponding author in high-impact journals, including Oncogene, Journal of Experimental & Clinical Cancer Research, and Cell Death & Disease. He also serves as an editorial member for Scientific Reports, further solidifying his influence in the field of cancer research.

🌎Conclusion

  • Given his exceptional research contributions, leadership, and impact in oncology, Dengke Bao is a highly suitable nominee for the Research for Best Researcher Award. His work is not only innovative but also holds great promise for improving cancer treatment and patient outcomes, making him a deserving recipient of this prestigious recognition.

📖Publications

  • TEFM facilitates uterine corpus endometrial carcinoma progression by activating ROS-NFκB pathway

    • Authors: J. Lei, Q. Zhu, J. Guo, D. Bao, R. Guo
    • Journal: Journal of Translational Medicine, 2024

  • Tenofovir disoproxil fumarate mediates neuronal injury by inducing neurotoxicity

    • Authors: X. Yang, J. Zhang, Y. Cheng, H. Liu, D. Bao
    • Journal: European Journal of Clinical Microbiology and Infectious Diseases, 2023

  • PRRSV infection activates NLRP3 inflammasome through inducing cytosolic mitochondrial DNA stress

    • Authors: H. Li, X. Yang, Y. Song, B. Wan, D. Bao
    • Journal: Veterinary Microbiology, 2023