Nan Nan | Engineering | Best Researcher Award

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Dr. Nan Nan | Engineering | Best Researcher Award

Nan Nan is a lecturer at the University of Science and Technology Liaoning, specializing in Mineral Processing Engineering. With a PhD from Northeastern University, China, their research focuses on flotation reagents, process mineralogy, and the comprehensive utilization of mineral resources. Nan Nan has published several SCI papers and received funding from the Liaoning Higher Education Research Fund. They have also led industry projects, including process optimization for various mineral processing plants, and won the 2nd Prize of the Science and Technology Progress Award from the China Gold Association.

Dr. Nan Nan | University of Science and Technology Liaoning | China

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🎓 Education

  • Nan Nan earned a PhD in Mineral Processing Engineering from Northeastern University, China, where they gained in-depth knowledge and expertise in mineral processing technologies.

💼 Experience

  • Currently serving as a lecturer at the University of Science and Technology Liaoning, Nan Nan has gained substantial industry experience by leading and participating in multiple enterprise-commissioned projects. Notably, these include energy efficiency evaluations and process examination projects for several mineral processing plants and mines across China.

 🏆 Honors and Awards

  • Nan Nan has been recognized with the 2nd Prize of the Science and Technology Progress Award from the China Gold Association. Additionally, Nan Nan has received funding support from the Liaoning Higher Education Research Fund.

🛠️ Skills and Certifications

  • Nan Nan possesses strong expertise in mineral processing engineering, flotation performance, process mineralogy, and the development of flotation reagents. With experience in optimizing grinding processes and flotation collectors, Nan Nan has contributed to enhancing the efficiency and cost-effectiveness of mineral processing operations.

🔬 Research Focus

  • Nan Nan’s research primarily focuses on mineral processing engineering, flotation reagent research and development, process mineralogy, and the comprehensive utilization of mineral resources. The work aims to advance flotation technology, process optimization, and to reduce operational costs, particularly in harsh mining conditions such as those in Northeast China.

Conclusion

  • Nan Nan is an ideal candidate for the Research for Best Researcher Award due to their exceptional academic background, groundbreaking contributions to industry practices, and continuous pursuit of research innovation. Their combination of industry collaborations, academic publications, and awarded research makes them a deserving nominee for this prestigious recognition.

📄Publications

  • Molecular modeling of interactions between N-(Carboxymethyl)-N-tetradecylglycine and fluorapatite
    Authors: Nan, N., Zhu, Y., Han, Y., Liu, J.
    Journal: Minerals, 2019, 9(5), 278
  • Flotation performance and mechanism of α-Bromolauric acid on separation of hematite and fluorapatite
    Authors: Nan, N., Zhu, Y., Han, Y.
    Journal: Minerals Engineering, 2019, 132, pp. 162–168
  • Froth flotation giant surfactants
    Authors: Li, Z., Fu, Y., Li, Z., Zhu, Y., Li, Y.
    Journal: Polymer, 2019, 162, pp. 58–62

Kaixi Shi | Two-dimensional Material | Best Researcher Award

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Dr. Kaixi Shi | Two-dimensional Material | Best Researcher Award

Dr. Kaixi Shi is a Lecturer at the School of Physics, Changchun University of Science and Technology, China. She completed her PhD in Physics at Northeast Normal University in 2018 and holds a Bachelor’s degree from Harbin Normal University. Her research focuses on photoelectric devices based on low-dimensional materials, particularly in areas like information storage, photodetection, and artificial intelligence. She has made significant contributions to plasmonic photodetectors, self-powered photovoltaic devices, and engineered heterostructures, publishing over 20 SCI-indexed papers and holding 8 national invention patents. Dr. Shi has led and participated in multiple scientific research projects, including those funded by Jilin Provincial Science and Technology Department.

Dr. Kaixi Shi | Changchun University of Science and Technology | China

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🎓 Education

  • Dr. Kaixi Shi obtained her Doctorate in Physics from Northeast Normal University, China, from 2012 to 2018. Prior to that, she earned her Bachelor’s degree in Physics from Harbin Normal University, China, from 2008 to 2012.

💼 Experience

  • Dr. Shi is currently a Lecturer at the School of Physics, Changchun University of Science and Technology, China, a position she has held since January 2021. Before this, she worked as a Postdoctoral Fellow at the same institution from December 2018 to January 2021.

 🏆 Honors and Awards

  • Throughout her career, Dr. Shi has presided over and participated in 11 scientific research projects, including a Project of Jilin Provincial Science and Technology Department and a Project of Jilin Provincial Education Department, alongside several national projects. She has also filed 8 national invention patents and published over 20 SCI-indexed papers.

🛠️ Skills and Certifications

  • Dr. Shi’s expertise lies in the development and application of low-dimensional materials for optoelectronic devices, including in areas such as information storage, photodetection, and artificial intelligence. She has specialized knowledge in the field of plasmonic photodetectors, self-powered photovoltaic devices, and interfacial engineered heterostructures.

🔬 Research Focus

  • Dr. Shi’s primary research interests involve photoelectric devices based on low-dimensional materials. She has made significant contributions to the field, including proposing the first self-powered PV characteristic to simulate short-term synaptic plasticity for low-power artificial neural networks. Additionally, she has introduced a novel Al@Al2O3 core-shell plasma structure in plasmonic photodetectors to balance the trade-off between high response rate and low dark current. She also designed an interfacial engineered heterostructure with a gradient band arrangement to achieve nanosecond-scale response speed, improving the separation efficiency of photogenerated carriers through Cu-plasmon-induced charge transfer.

Conclusion

  • Dr. Kaixi Shi is a highly deserving candidate for the Research for Best Researcher Award. Her significant contributions to material science and optoelectronic devices, along with her leadership in research and innovation, have placed her at the cutting edge of technological advancements. Dr. Shi’s work is not only academically impactful but also practically relevant, shaping the future of AI and energy-efficient devices.

📄Publications

  • Electronic and optical properties of CsSnI3/MoS2 heterostructure as ultrabroadband photoelectric device
    Authors: Tan, F., Liu, F., Li, J., Shi, K.
    Journal: Applied Surface Science, 2024, 678, 161048
  • Al@Al2O3 core-shell plasmonic design for the dilemma between high responsivity and low dark current of MoS2 photodetector
    Authors: Shen, Z., Wang, W., Xu, Z., Fang, X., Xu, M.
    Journal: Applied Physics Letters, 2024, 125(22), 222105
  • Rational design of MoS2/CNT heterostructure with rich S-vacancy for enhanced HER performance
    Authors: Sun, Y., Li, J., Wang, Z., Shi, K., Zhai, Y.
    Journal: Journal of Chemical Physics, 2024, 161(18), 184705
  • A high-performance WS2/ZnO QD heterojunction photodetector with charge and energy transfer
    Authors: Zheng, Y., Xu, Z., Shi, K., Jiang, Z., Chu, X.
    Journal: Journal of Materials Chemistry C, 2024, 12(45), pp. 18291–18299
  • Pollution-free interface of 2D-MoS2/1D-CuO vdWs heterojunction for high-performance photodetector
    Authors: Yang, H., Luo, R., Shi, K., Qu, G., Fang, X.
    Journal: Nanotechnology, 2024, 35(10), 105202

Yang Li | Plant Physiology | Best Researcher Award

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Prof. Yang Li | Plant Physiology | Best Researcher Award

Yang Li is a professor at the School of Agricultural Science and Technology, Shandong Agricultural and Engineering University. With over 12 years of experience in agricultural research and teaching, her work focuses on fruit tree salt resistance, plant physiology, and biochemistry. She has led significant rural revitalization projects, developed energy-efficient agricultural management systems, and contributed innovative pruning techniques for orchards. Yang Li holds two utility model patents, two software copyrights, and has published extensively in journals like Plant Molecular Biology Reporter and Scientia Horticulturae. Her collaborations with industry and academia emphasize advancing sustainable and efficient agricultural practices.

Prof. Yang Li | Shandong Agricultural and Engineering University | China

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🎓 Education

  • Yang Li completed her academic journey with a strong focus on agricultural science and technology. Her educational foundation has enabled her to excel in research and teaching, particularly in the areas of fruit tree salt resistance and plant physiology and biochemistry.

💼 Experience

  • With 12 years of experience in agricultural technology research and teaching, Yang Li has led impactful projects, including the Collaborative Extension Program for Major Agricultural Technologies in Shandong Province. She has successfully executed rural revitalization school-enterprise collaboration initiatives, contributing significantly to advancements in agricultural science. Her collaborations span academic institutions and industry partners, including Shandong Agricultural University, Shandong Tongfang Decheng Technology Co., Ltd., and Jinan Zhengzhuang Agricultural Technology Co.

 🏆 Honors and Awards

  • Yang Li’s expertise has been recognized through the granting of two utility model patents and two software copyrights. She has also made valuable contributions as an editor of two monographs, further showcasing her academic and professional excellence.

🛠️ Skills and Certifications

  • Yang Li possesses advanced skills in plant physiology, biochemistry, and agricultural technology innovation. Her proficiency extends to project management, collaborative research, and the development of intelligent agricultural management systems

🎯Contributions

  • Through her innovative contributions, Yang Li has driven the establishment of a 1,000-acre energy-efficient large cherry production base and developed a smart management platform generating significant profits for enterprises. Her work on simplified pruning methods for apple orchards has revolutionized orchard management practices. These achievements underline her dedication to advancing agricultural science and benefiting the industry at large.

🔬 Research Focus

  • Yang Li’s research primarily focuses on fruit tree salt resistance and plant physiology and biochemistry. She has authored influential publications in prestigious journals such as Plant Molecular Biology Reporter, Scientia Horticulturae, and Agronomy. Her work emphasizes energy efficiency in agricultural systems, including developing solutions that reduce winter greenhouse energy consumption by 20%.

Conclusion

  • Professor Yang Li’s innovative research, leadership in impactful projects, and contributions to agricultural technology make him a compelling candidate for the Best Researcher Award. His work exemplifies excellence in research and its translation into practical solutions, fulfilling the award’s criteria of advancing knowledge and contributing to societal progress.

📄Publications

  • Effects of Nano-Silica and Multi-Walled Carbon Nanotubes on Grape Seedlings under Salt Stress
    Authors: Li, Y., Sheng, Y., Shu, J., Qi, J., Liu, J.
    Journal: Agronomy, 2024, 14(3), 622
  • Multi-Walled Carbon Nanotubes Enhanced the Antioxidative System and Alleviated Salt Stress in Grape Seedlings
    Authors: Li, Y., Liu, M., Yang, X., Zhang, D., Shu, J.
    Journal: Scientia Horticulturae, 2022, 293, 110698
  • Unraveling the Role of Reaction Environment and Catalysts for Pyrolysis of Technical Lignin into Different Functional Bio-Oil Yield
    Authors: Li, Y., Hao, S., Shu, J., Hou, N., Li, Y.
    Journal: Journal of the Energy Institute, 2022, 100, pp. 47–54

Xinyue Ren | Remyelination | Best Researcher Award

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Dr. Xinyue Ren | Remyelination | Best Researcher Award

Xinyue Ren is a PhD candidate at the Shanghai Institute of Materia Medica, Chinese Academy of Sciences, specializing in myelin regeneration. She has published five SCI-indexed journal papers and contributed to two patents, with her research focusing on DNA methylation and demethylation in promoting oligodendrocyte differentiation. Her groundbreaking work on the synergistic effects of Vitamin C and MEK inhibitor PD0325901 suggests promising therapeutic approaches for demyelination diseases. Xinyue has participated in three major research projects and received the prestigious Chinese Academy of Sciences Scholarship for College Students, highlighting her excellence in scientific innovation.

Dr. Xinyue Ren | Shanghai Institute of Materia Medical, Chinese Academy of Sciences | China

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🎓 Education

  • Xinyue Ren is currently pursuing a PhD at the Shanghai Institute of Materia Medica, Chinese Academy of Sciences, focusing on myelin regeneration. Her academic journey reflects a strong commitment to scientific excellence and innovation.

💼 Experience

  • As a dedicated researcher, Xinyue has contributed significantly to the field of epigenetics and neuroscience. She has been involved in three research projects, demonstrating her ability to lead and collaborate effectively. Her work has culminated in the publication of five SCI-indexed journal articles, either as the first author or a major participant.

 🏆 Honors and Awards

  • Xinyue Ren has been recognized for her academic achievements with the prestigious Scholarship for College Students awarded by the Chinese Academy of Sciences, highlighting her exceptional contributions and potential in scientific research.

🛠️ Skills and Certifications

  • Xinyue possesses expertise in epigenetic regulation, particularly DNA methylation and demethylation mechanisms. She is proficient in studying gene expression, cell differentiation, and the therapeutic potential of small molecules in neurological diseases.

🔬 Research Focus

  • Her research centers on the interplay between DNA methylation and demethylation in regulating oligodendrocyte progenitor cell differentiation. She has uncovered groundbreaking findings on how Vitamin C and the MEK inhibitor PD0325901 synergistically induce DNA demethylation through hydroxy-methylation, promoting the differentiation of OPCs into OLs. These insights pave the way for potential combination therapies for demyelination diseases, a promising frontier in regenerative medicine.

Conclusion

  • Based on her exceptional academic achievements, innovative findings in epigenetic regulation, and her contributions to potential therapeutic strategies, Xinyue Ren is highly suitable for the Best Researcher Award. Her work demonstrates excellence in scientific inquiry, innovation, and translational potential, making her a leading candidate for this recognition.

📄Publications

  • Trametinib, an anti-tumor drug, promotes oligodendrocytes generation and myelin formation
    Authors: Yang, Y., Suo, N., Cui, S.-H., … Guo, R., Xie, X.
    Journal: Acta Pharmacologica Sinica, 2024, 45(12), pp. 2527–2539
  • In situ reprogramming of cardiac fibroblasts into cardiomyocytes in mouse heart with chemicals
    Authors: Chen, Z.-Y., Ji, S.-J., Huang, C.-W., … Guo, R., Xie, X.
    Journal: Acta Pharmacologica Sinica, 2024, 45(11), pp. 2290–2299
  • The Aurora Kinase Inhibitor CYC116 Promotes the Maturation of Cardiomyocytes Derived from Human Pluripotent Stem Cells
    Authors: Ji, S., Tu, W., Huang, C., … Chen, Y., Xie, X.
    Journal: Molecules and Cells, 2022, 45(12), pp. 923–934

Prof. Min Liu | Tea science | Young Scientist Award

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Prof. Min Liu | Tea science | Young Scientist Award 

Min Liu, born on January 7, 1991, in Zhenjiang, Jiangsu, is a tea professional and associate senior title holder at Jiangsu Vocational College of Agriculture and Forestry. With a degree from Yang Zhou University (2008–2015), she is recognized for her expertise in tea processing, art, and technology. A technical expert of Jiangsu Province, Min has been honored with awards like the First Prize of the Tea Science and Technology Award and the Zhenjiang City Lift Engineering Talent Award. Her research focuses on the efficient and comprehensive utilization of tea resources. Fluent in Mandarin and English (CET-6), she is skilled in teamwork, communication, and creativity.

Prof. Min Liu | Jiangsu Vocational College Agriculture and Forestry | China

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🎓 Education

  • Min Liu earned her education at Yang Zhou University from 2008 to 2015, where she was recognized as a university-level outstanding graduate. Her language proficiency includes native Mandarin and excellent English (CET-6). She is also a skilled user of Microsoft Office tools.

💼 Experience

  • Currently serving at Jiangsu Vocational College of Agriculture and Forestry, Min Liu has established herself as a technical expert in Jiangsu Province. She is also a recognized rural revitalization expert under the Jiangsu Provincial Science and Technology Association. Her notable achievements include being a tea professional teacher, advancing research on the efficient and comprehensive utilization of tea resources, and contributing significantly to the Jiangsu tea industry.

 🏆 Honors and Awards

  • Min Liu’s contributions have been recognized with multiple awards, including the First Prize of the Tea Science and Technology Award from the Jiangsu Tea Society and the Third Prize for Agricultural Technology Promotion from Jiangsu Province. She has also been honored with the Zhenjiang City Lift Engineering Talent Award and the title of an excellent scientific and technological worker by the Jiangsu Tea Society.

🛠️ Skills and Certifications

  • She excels in creativity, teamwork, hard work, and communication. Her professional expertise extends to tea processing, where she is recognized as a tea processing technician, tea art specialist, and senior reviewer.

🔬 Research Focus

  • Min Liu is deeply committed to the efficient research and comprehensive utilization of tea resources, ensuring innovative approaches to maximizing the value of tea in both science and industry. Her contributions continue to enrich the field of tea science.

Conclusion

  • Min Liu’s credentials strongly support their candidacy for the Research for Young Scientist Award. Their innovative research in tea resources, impactful community service, and leadership in the agricultural sector reflect the qualities sought for this honor. They bring creativity, dedication, and a vision for sustainable development to the table, making them a deserving nominee.

📄Publications

  • Evaluation of 1064 nm Raman for meat and bone meal species discrimination: From raw form to chemical and physical components
    Authors: Bing Gao, Gangshan Wu, Min Liu, Haitao Yu, Lujia Han, Xian Liu
    Journal: Microchemical Journal
  • Investigation of Microbial Fermentation Degree of Pu-Erh Tea Using Deep Learning Coupled Colorimetric Sensor Array via Prediction of Total Polyphenols
    Authors: Min Liu, Cui Jiang, Md Mehedi Hassan, Xinru Zhang, Runxian Wang, Renyong Cao, Wei Sheng, Huanhuan Li
    Journal: Chemosensors
  • Non-destructive prediction of tea polyphenols during Pu-erh tea fermentation using NIR coupled with chemometrics methods
    Authors: Min Liu, Runxian Wang, Delin Shi, Renyong Cao
    Journal: Journal of Food Composition and Analysis
  • Relationship between gene expression and the accumulation of catechin during spring and autumn in tea plants (Camellia sinensis L.)
    Authors: Min Liu, Heng-lu Tian, Jian-Hua Wu, Ren-Rong Cang, Run-Xian Wang, Xiao-Hua Qi, Qiang Xu, Xue-Hao Chen
    Journal: Horticulture Research
  • Genome-wide analysis and expression of the calcium-dependent protein kinase gene family in cucumber
    Authors: Xuewen Xu, Min Liu, Lu Lu, Min He, Wenqin Qu, Qiang Xu, Xiaohua Qi, Xuehao Chen
    Journal: Molecular Genetics and Genomics

Dr. Yajing Liu | Physical Chemistry | Excellence In Research

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Dr. Yajing Liu | Physical Chemistry | Excellence In Research

Yajing Liu is a postdoctoral researcher at Zhejiang University with a Ph.D. in Physical Chemistry. Her work specializes in the synthesis of new materials and their applications in biomaterials for life sensing. Yajing’s research focuses on developing innovative sensors for health monitoring and accident prevention, exploring the interaction between materials and biological systems to enable flexible, wearable technologies. She has published extensively in renowned scientific journals and is recognized for her contributions to materials science and health innovation.

Dr. Yajing Liu | Zhejiang University | China

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🎓 Education

  • Yajing Liu  hold a Ph.D. in Physical Chemistry, where her focused on the synthesis and application of new materials. Her academic background provided a deep understanding of material science and its potential applications in various fields, particularly in life sciences and health technologies.

💼 Experience

  • Currently, Yajing Liu am a Postdoctoral researcher at Zhejiang University. Her postdoctoral work involves exploring biomaterials for life sensing applications, contributing to the development of advanced sensors for health monitoring. Her have gained significant experience in innovative sensor design and the integration of new materials with biological systems.

 🏆 Honors and Awards

  • Throughout Her have been recognized for  contributions to material science and sensor technology. Her research has been published in renowned scientific journals, highlighting her work’s impact on advancing health-monitoring technologies.

🛠️ Skills and Certifications

  • Yajing Liu expertise includes synthesizing new materials, understanding their interactions with biological systems, and applying these materials to the development of flexible wearable sensors. Her also possess strong analytical and experimental skills, particularly in physical chemistry and sensor technology.

🔬 Research Focus

  • Her research primarily focuses on physical chemistry, with an emphasis on the synthesis of new materials for life sensing.Her study the dynamic interactions between these materials and biological systems, which is crucial for the design of effective health monitoring devices, especially wearable sensors that contribute to accident prevention and real-time health tracking.

Conclusion

  • Dr. Liu’s work exemplifies innovation, interdisciplinary collaboration, and a strong drive to improve public health through material science. Her contributions to the field of physical chemistry, particularly in wearable sensors for health applications, make her an excellent candidate for the Best Researcher Award, with significant potential to drive future breakthroughs in health technology.

📄Publications

  • Failure-analysis of carbon nanotubes and their extreme applications
    Authors: Zhu, M., Bai, Y., Gao, R., Liu, L., Zhang, Z.
    Journal: Nano Research, 2023, 16(11), pp. 12364–12383
  • Multifunctional liquid microrobots based on paramagnetic microdroplets
    Authors: Li, Q., Feng, F., Xu, M., Wang, X., Yao, L.
    Journal: Cell Reports Physical Science, 2023, 4(2), 101279
  • Modulation of Magnetic Exchange Coupling via Constructing Bi- or Multimagnetic Heterointerfaces
    Authors: Chai, Y., Lou, Q., Xu, M., Wang, X., Yao, L.
    Journal: Journal of Physical Chemistry Letters, 2022, 13(51), pp. 12082–12089
  • Erratum: Force-Coded Strategy for the Simultaneous Detection of Multiple Tumor-Related Proteins
    Authors: Sun, M., Lu, P., Yu, C., Liu, Y., Yao, L.
    Journal: Analytical Chemistry, 2022, 94(40), pp. 1407
  • Force-Coded Strategy for the Simultaneous Detection of Multiple Tumor-Related Proteins
    Authors: Sun, M., Lu, P., Yu, C., Liu, Y., Yao, L.
    Journal: Analytical Chemistry, 2022, 94(25), pp. 8992–8998

Jiaojiao Yu | Software Engineering | Best Scholar Award

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 Dr. Jiaojiao Yu | Software Engineering | Best Scholar Award

Dr. Jiaojiao Yu is a researcher at the Hubei Key Laboratory of Digital Finance Innovation, Hubei University of Economics. She earned her Ph.D. from Wuhan University and specializes in software engineering, large language models, and digital finance. Her work focuses on leveraging advanced technologies to drive innovation and solve real-world challenges in the digital economy.

 Dr. Jiaojiao Yu | Hubei University of Economics | China

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🎓 Education

  • Jiaojiao Yu earned her Ph.D. from Wuhan University, a leading institution renowned for academic excellence and cutting-edge research. Her academic journey equipped her with a robust foundation in advanced research methodologies and innovative problem-solving approaches.

💼 Experience

  • Jiaojiao Yu has been acknowledged for her contributions to digital finance and software engineering through awards that highlight her commitment to advancing these fields.

 🏆 Honors and Awards

  • Jiaojiao Yu has been acknowledged for her contributions to digital finance and software engineering through awards that highlight her commitment to advancing these fields.

🛠️ Skills and Certifications

  • Dr. Yu possesses expertise in software engineering, data analysis, large language models, and digital finance. She is also skilled in research design and collaboration, enabling her to spearhead multidisciplinary initiatives effectively.

🔬 Research Focus

  • Her primary research areas encompass software engineering, the application of large language models, and innovations in digital finance. She explores the intersection of these domains to address real-world challenges and contribute to the development of intelligent, efficient systems.

Conclusion

  • Dr. Jiaojiao Yu is a commendable candidate for the Research for Best Scholar Award. Her contributions to emerging fields, combined with her collaborative potential and innovative mindset, align perfectly with the award’s objectives to recognize groundbreaking research. Her work not only advances theoretical understanding but also drives practical applications in digital finance, making her a worthy nominee.

📄Publications

  • Detecting Self-Admitted Technical Debts via Prompt-Based Method in Issue-Tracking Systems
    Authors: Yu, J., Tian, H., Li, R., Zuo, Q., Di, Y.
    Journal: Electronics (Switzerland), 2024
  • Federated Cross-View E-Commerce Recommendation Based on Feature Rescaling
    Authors: Li, R., Shu, Y., Cao, Y., Yu, J., Zhang, W.
    Journal: Scientific Reports, 2024
  • Detecting Multi-Type Self-Admitted Technical Debt with Generative Adversarial Network-Based Neural Networks
    Authors: Yu, J., Zhou, X., Liu, X., Xie, Z., Zhao, K.
    Journal: Information and Software Technology, 2023
  • Food Risk Entropy Model Based on Federated Learning
    Authors: Yu, J., Chen, Y., Wang, Z., Liu, J., Huang, B.
    Journal: Applied Sciences (Switzerland), 2022
  • Exploiting Gated Graph Neural Network for Detecting and Explaining Self-Admitted Technical Debts
    Authors: Yu, J., Zhao, K., Liu, J., Xu, Z., Wang, X.
    Journal: Journal of Systems and Software, 2022

Qunpeng Fan | Business | Best Researcher Award

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Prof. Qunpeng Fan | Business | Best Researcher Award

Qunpeng Fan, Ph.D., is an Associate Professor and Master’s Supervisor at Jilin Normal University and a former visiting scholar at Albany State University of New York. With expertise in innovation and entrepreneurship, corporate governance, and fsQCA, he has published extensively in high-impact journals and led numerous funded research projects. His interdisciplinary approach integrates education, management, and economics to address practical challenges and advance theoretical frameworks. Dr. Fan’s consultancy work and professional memberships further highlight his commitment to bridging academia and industry for meaningful impact.

Prof. Qunpeng Fan | School of Economic Management and Law, Jilin Normal University | China

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🎓 Education

  • Qunpeng Fan holds a Ph.D. and has cultivated a strong academic foundation through rigorous study and interdisciplinary research. As a visiting scholar at Albany State University of New York, he gained valuable international exposure, enriching his perspective on global innovation and entrepreneurship.

💼 Experience

  • Currently an Associate Professor and Master’s Supervisor at the School of Economic Management and Law, Jilin Normal University, Qunpeng Fan has made significant contributions to academia. His consultancy work includes developing intelligent accounting personnel training systems for small and medium-sized enterprises, showcasing his ability to bridge theory and practice. His professional memberships include being a Senior Member of the Technical Management Professional Committee and a member of the Jilin E-commerce Society.

 🏆 Honors and Awards

  • Over the years, Qunpeng Fan has received numerous research grants, including the Ministry of Education’s Humanities and Social Sciences Youth Fund and the Guangdong Planning Foundation of Philosophy and Social Science. These accolades highlight his leadership in cutting-edge research and his commitment to advancing knowledge in innovation and entrepreneurship.

🛠️ Skills and Certifications

  • Qunpeng Fan excels in interdisciplinary research methods, including fsQCA, management, and economic modeling. His ability to address practical problems through a combination of theoretical exploration and applied solutions has made him a leader in his field.

🔬 Research Focus

  • Qunpeng Fan’s research centers on innovation and entrepreneurship, corporate governance, and the application of fsQCA. He investigates the synergistic relationships between performance gaps, network strategies, and organizational characteristics, integrating behavioral theories with network strategies to enhance business model innovation.

Conclusion

  • Qunpeng Fan embodies the ideal qualities of a Best Researcher Award recipient. Their ability to integrate diverse methodologies and tackle complex problems with a practical orientation makes them a standout candidate. Recognizing their work would not only honor their contributions but also inspire further advancements in innovation and entrepreneurship research.

📄Publications

  • Opening the black box between strategic vision on digitalization and SMEs digital transformation: the mediating role of resource orchestration
    Authors: Cheng, S., Fan, Q., Dagestani, A.A.
    Journal: Kybernetes, 2024.
  • To exploit or explore? Research on the relationship between performance gap and ambidexterity innovation
    Authors: Fan, Q., Cheng, S., Chun, D., Zhang, Y.
    Journal: Technology Analysis and Strategic Management, 2024.
  • Mandatory Disclosure of Corporate Social Responsibility and the Quality of Earnings Management
    Authors: Fan, Q., Chun, D., Ban, Q., Li, H., Xu, L.
    Journal: Sustainability (Switzerland), 2023.
  • Performance Gap and Innovation Ambidexterity: A Moderated Mediation Model
    Authors: Cheng, S., Fan, Q., Song, Y.
    Journal: Sustainability (Switzerland), 2023.
  • Strategic Orientation, Dynamic Capabilities, and Digital Transformation of Commercial Banks: A Fuzzy-Set QCA Approach
    Authors: Cheng, S., Fan, Q., Huang, M.
    Journal: Sustainability (Switzerland), 2023.

Pingchuan Zhang | Intelligent Agriculture | Best Researcher Award

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Prof. Pingchuan Zhang | Intelligent Agriculture | Best Researcher Award

Pingchuan Zhang, born in Wuyang County, Henan Province, China, in 1968, is a distinguished professor and researcher specializing in IoT and intelligent agriculture systems. He earned his B.S. in Prospecting Engineering from Chengdu University of Technology, M.S. in Computer Software and Theory from the University of Zhengzhou, and Ph.D. in Microelectronics and Solid Physics from Huazhong University. With over two decades of academic experience, he serves as an Associate Professor at Luohe Vocational Technology College and a Master’s Supervisor in Agriculture Engineering and Information Technology. A senior member of the China Electronics Society, he has authored nine books, published over 40 articles, and holds more than 10 patents. His research focuses on IoT applications, intelligent systems, and sensing technologies.

Prof. Pingchuan Zhang | Henan Institute of Science and Technology | China

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🎓 Education

  • Pingchuan Zhang completed his Bachelor of Science degree in Prospecting Engineering at Chengdu University of Technology in 1991. He earned his Master’s degree in Computer Software and Theory from the University of Zhengzhou in 2005 and later achieved a Ph.D. in Microelectronics and Solid Physics from Huazhong University in 2012.

💼 Experience

  • From 2000 to 2008, he served as a Research Assistant Professor and Instructor. Since 2009, he has been an Associate Professor in the Department of Electronical Mechanical Engineering at Luohe Vocational Technology College. In the fall of 2019, he was appointed as a Distinguished Professor in the field of the Internet of Things (IoT) and became a Master’s Supervisor in Agriculture Engineering and Information Technology.

 🏆 Honors and Awards

  • Pingchuan Zhang is recognized as a senior member of the China Electronics Society and holds distinguished positions in academia. He has contributed extensively to the field through his authorship of nine books, over 40 academic articles, and more than 10 patented inventions.

🛠️ Skills and Certifications

  • He has expertise in IoT and Physical Agriculture, intelligent systems, and sensing technologies. His research and technical contributions focus on developing advanced systems for agricultural applications and improving IoT-based intelligent systems.

🔬 Research Focus

  • Pingchuan Zhang’s research focuses on integrating IoT technologies with physical agriculture, exploring intelligent systems, and advancing sensing technologies to drive innovation and sustainability in the agricultural and technological domains.

Conclusion

  • Pingchuan Zhang demonstrates exceptional qualifications and achievements that make him a strong candidate for the Best Researcher Award. His contributions to research, innovation, and education, coupled with his professional recognition, underscore his suitability for this prestigious accolade.

📄Publications

  • Design and Initial Tests of a Fast Neutron Radiography Detector Prototype with Silicon Photomultiplier Readouts
    Authors: Chen, X., Tang, B., Chen, R., Wang, Y., Liu, Y.
    Journal: Applied Sciences (Switzerland), 2024, 14(13), 5536
  • Research on Peach Phosphorus Deficiency Detection Based on Improved Faster R-CNN
    Authors: Hu, Y., Zhang, Y., Zhang, P., Chen, Z., Chen, X.
    Journal: Journal of Chinese Agricultural Mechanization, 2024, 45(4)
  • Recognition of Peach Tree Yellow Leaf Disease under Complex Background Based on Improved Faster-RCNN
    Authors: Zhang, P., Hu, Y., Zhang, Y., Chen, Z., Chen, X.
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  • Investigation of DRA and Non-DRA in Locust Compound Eye on the Phototactic Response of Locust
    Authors: Liu, Q.H., Liu, M.H., Yang, B., Cui, J.X., Zhao, H.Y.
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  • Peculiar Influence of Linearly Polarized Spectrum Illumination Patterns on the Sensitivity Characteristics of Locust Response to Polarized Light
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Prof. Ni Linglin | Transportation | Best Researcher Award

Published on by China Scientist

Prof. Ni Linglin | Transportation | Best Researcher Award

Prof. Linglin Ni is a professor in the Department of Logistics Management at Beijing Wuzi University. She holds a Ph.D. in Logistics Engineering from Central South University and has completed postdoctoral research at Zhejiang University. As a visiting scholar at Rensselaer Polytechnic Institute, she gained international experience in logistics and data analysis. Her research focuses on big data analysis, logistics network optimization, and transportation econometrics. With over 15 years of teaching experience, Prof. Ni has earned accolades such as the Excellent Teacher Award and actively contributes to professional organizations, including the China Society of Logistics.

Prof. Ni Linglin | Beijing Wuzi University | China

Profile

SCOPUS  ID

ORCID ID

🎓 Education

  • Linglin Ni, Ph.D., has a distinguished academic background. She completed her Ph.D. in Logistics Engineering at Central South University (2008–2012), following a Master’s degree in Management Science and Engineering (2002–2005) and a Bachelor’s degree in Transportation and Traffic Engineering (1998–2002) at the same institution. Additionally, she pursued postdoctoral studies at Zhejiang University and gained international exposure as a visiting scholar at Rensselaer Polytechnic Institute during 2014–2015 and 2018–2019.

💼 Experience

  • Prof. Linglin Ni currently serves as a full-time faculty member in the Department of Logistics Management at Beijing Wuzi University, a role she has held since August 2022. Prior to this, she spent over 15 years as a faculty member at Zhejiang University of Finance & Economics, Hangzhou, where she contributed significantly to teaching and research in logistics and related fields. Her teaching portfolio includes courses such as Logistics, ERP Sand Table Simulation, Distribution and Distribution Center, Consumer Behavior, and Operations Research.

 🏆 Honors and Awards

  • Prof. Ni has been recognized for her outstanding contributions to academia and student mentorship. She was named Excellent Teacher of Zhejiang University of Finance & Economics in 2010–2011 and received the Excellent Tutor Award during 2011–2012. Additionally, she secured the First Prize in the Zhejiang Final of the Eighth National College “UF Cup” Contest of ERP Sand Table Simulation Operation in 2012.

🛠️ Skills and Certifications

  • Prof. Ni is proficient in logistics management, supply chain optimization, and ERP simulation, with hands-on expertise in teaching and guiding students in these domains. She is an active member of the China Society of Logistics, Zhejiang Association of Supply Chain, and Zhejiang Express Industry Association, further reflecting her professional commitment to the field of logistics and supply chain management.

🔬 Research Focus

  • Prof. Ni’s research interests lie at the intersection of logistics and advanced analytics. Her primary areas of focus include big data analysis, optimization of logistics networks, and the econometrics of transportation. Through her work, she contributes to the advancement of efficient logistics systems and transportation solutions.

Conclusion

  • Prof. Ni’s expertise, combined with her professional achievements, positions her as a deserving candidate for the “Research for Best Researcher Award.” Her contributions to logistics education, research, and optimization solutions exemplify the qualities the award seeks to honor. Recognizing her achievements would not only validate her impact but also inspire further advancements in the logistics and transportation sectors.

📄Publications

  • Using a spatial autoregressive model with spatial autoregressive disturbances to investigate origin-destination trip flows
    Authors: Ni, L., Zhang, D.
    Journal: PLoS ONE, 2024, 19(6 June), e0305932
  • Exploring the influence of relative attractiveness in green spaces on urban movements: A potential to kinetic energy framework
    Authors: Ni, L., Zhang, D., Yang, Y., Huang, J.
    Journal: Journal of Cleaner Production, 2024, 434, 139850
  • Analyzing time-varying trip distributions with a random-effect spatial OD dependence model
    Authors: Ni, L., Wang, X., Chen, X., Zhang, D.
    Journal: PLoS ONE, 2023, 18(1 January), e0280162
  • Investigating Travel Flow Differences between Peak Hours with Spatial Model with Endogenous Weight Matrix Using Automatic Vehicle Identification Data
    Authors: Zhou, Y., He, Z., Chen, J.-Y., Ni, L., Dong, J.
    Journal: Genetics Research, 2022, 2022, 7729068
  • The impact of intercity economic complementarity on HSR volume in the context of megalopolization
    Authors: Hu, X., Wang, X.C., Ni, L., Shi, F.
    Journal: Journal of Transport Geography, 2022, 98, 103222