Yamin Zhang | Economics | Best Researcher Award Posted on 25/11/202425/11/2024 by sciencefatherLeave a Comment on Yamin Zhang | Economics | Best Researcher Award Dr. Yamin Zhang | Economics | Best Researcher Award Professional Skills: Proficient in advanced statistical tools (Stata, SPSS, Amos) and visualization techniques using software like CiteSpace and VOSviewer, showcasing a data-driven approach to research. Expertise in bibliometric analysis demonstrates her ability to synthesize and present comprehensive insights from complex datasets. Dr. Yamin Zhang , Chinese Academy of Social Sciences, China Profile Scopus 🌱EARLY ACADEMIC PURSUITS Dr. Yamin Zhang’s academic journey highlights a solid and diverse foundation in higher education. She began her studies with a Bachelor’s degree in Accounting from Henan University of Economics and Law, completed between 2012 and 2014. Building on this, she pursued a Master’s degree in Management Science and Engineering at Beijing Information Science and Technology University from 2015 to 2018, focusing on management theories and their applications. Her passion for understanding the dynamics of industrial development and societal management led her to Minzu University of China, where she earned a Doctoral degree in Industrial Society and Management (2020–2024). This academic trajectory reflects Dr. Zhang’s commitment to multidisciplinary learning and her dedication to addressing complex societal and economic challenges. 💼PROFESSIONAL ENDEAVORS Dr. Zhang has actively participated in several influential projects and research initiatives throughout her career. She led an independent scientific research project at Minzu University of China, which explored the operational mechanisms and policies supporting floating populations’ entrepreneurial behavior in urbanized settings. Additionally, she contributed to projects funded by the Ministry of Education and the Beijing Social Science Foundation, examining senior management team dynamics, innovation, and the capability transitions of small enterprises. Her participation in Beijing University’s talent cultivation programs further underscores her professional involvement in fostering academic innovation and leadership. These endeavors demonstrate her ability to integrate theory with practice and her commitment to solving real-world problems. 🔬CONTRIBUTIONS AND RESEARCH FOCUS Dr. Zhang’s research focuses on several critical and interrelated areas, including the coordinated development of regional economies, innovation and entrepreneurship within the floating population, and the impact of the digital economy on industrial growth. Her studies delve into the challenges faced by migrant entrepreneurs, the role of digital infrastructure in attracting high-skilled talent, and the mechanisms that drive economic synergy in regional development. By addressing these topics, Dr. Zhang contributes valuable insights into sustainable economic practices and the potential for innovation-driven growth in modern societies. 🌍IMPACT AND INFLUENCE Dr. Zhang’s scholarly impact is evident in her array of high-quality publications in prestigious journals. She has co-authored significant works, including research on urban public services and their importance to immigrant entrepreneurs, published in Humanities and Social Sciences Communications (SSCI Q1, IF=3.7). Her work on top management team knowledge heterogeneity and its influence on financial performance appeared in Technological Forecasting and Social Change (SSCI Q1, IF=10.884). Additionally, her study on digital infrastructure’s role in talent attraction was featured in Economic Research Journal (CSSCI, IF=20.288). These publications not only highlight her expertise but also demonstrate her ability to produce research with both academic and practical relevance. Dr. Zhang has also presented her findings at notable conferences, including the Asia-Pacific Forum on Sustainable Development (2018) and Technological Forecasting and Social Change (2023), further amplifying her influence. 📜 ACADEMIC CITES Dr. Zhang’s proficiency in advanced data analysis tools, such as Stata, SPSS, CiteSpace, and VOSviewer, has enabled her to conduct robust bibliometric analyses. These tools allow her to map research trends and analyze complex datasets, underpinning the quality of her publications. Her technical expertise ensures her work is both methodologically sound and highly cited, reflecting the broader academic community’s recognition of her contributions to innovation, economics, and entrepreneurship studies. 🧬 LEGACY AND FUTURE CONTRIBUTIONS Dr. Zhang’s dedication to advancing knowledge in her fields positions her as a leading thinker in coordinated economic development and digital innovation. Looking ahead, her forthcoming research on new transportation infrastructure and its impact on the inflow of highly educated entrepreneurial talent is expected to shape future policy and academic discussions. Her ability to combine theoretical insights with actionable strategies ensures her contributions remain influential and transformative. Dr. Zhang’s ongoing commitment to addressing societal challenges through her work promises to leave a lasting legacy in academia and beyond 📄Publications what urban public services do immigrant entrepreneurs with different educational backgrounds most value? Authors: Cui, Y., Zhang, Y. Journal: Humanities and Social Sciences Communications, 2024, 11(1), 1553 The Impact of Urban Public Services on the Residence Intentions of Migrant Entrepreneurs in the Western Region of China Authors: Cui, Y., Zhang, Y. Journal: Sustainability (Switzerland), 2024, 16(3), 1229
Zhuqing Zhang | Internet | Best Researcher Award Posted on 19/09/202419/09/2024 by sciencefatherLeave a Comment on Zhuqing Zhang | Internet | Best Researcher Award Dr. Zhuqing Zhang | Internet | Best Researcher Award Research and Innovation: She has contributed to advanced research, such as her work on the “Prediction techniques of movie box office using neural networks and emotional mining,” which demonstrates her innovation and ability to apply cutting-edge technology to practical issues in media studies. Dr . Zhuqing Zhang, Nanjing University, China Profile OrcID 🎓Early Academic Pursuits Zhuqing Zhang is a dedicated young scholar from China currently pursuing a doctorate at Nanjing University. With a focus on the basic theories of journalism, communication, and new media, Zhuqing has established a solid academic foundation throughout her studies. Her diverse multidisciplinary background has enabled her to excel in both theoretical research and practical exploration. During her doctoral studies, she has consistently demonstrated excellence in coursework, showcasing a strong capacity for independent academic inquiry and research. 💼Professional Endeavors Zhuqing Zhang’s professional journey is marked by a broad understanding of network media, along with the application of communication theories in emerging technological landscapes. While she has not been engaged in consultancy or industry projects, her academic trajectory reflects her deep commitment to the academic realm, with a solid grasp of research methodologies and communication networks. 🔬 CONTRIBUTIONS AND RESEARCH FOCUS Zhuqing has made significant contributions to the analysis and prediction of movie box office performance through the use of neural networks and emotional mining techniques. She employed the Word2vec algorithm to develop a feature thesaurus specific to the movie domain. Additionally, Zhuqing integrated emotional coloring adjectives and verbs into an emotional dictionary. By applying the TF-IDF algorithm, she successfully calculated emotional scores from movie reviews. This innovative approach culminated in the design of a predictive method for box office performance based on audience comments. Her research has provided valuable insights into the relationship between public sentiment and box office outcomes, offering decision-making support for the movie industry and related stakeholders. 🌍Impact and Influence Zhuqing Zhang’s work in emotional mining and box office prediction has had a notable impact on the way movie industry professionals understand audience feedback. Her research method, which connects multivariate linear regression with comment analysis, is innovative in its ability to offer predictive insights. This approach not only helps filmmakers but also provides crucial data for related management departments, influencing decision-making in the movie production and marketing sectors. 🏅ACADEMIC CITES Zhuqing Zhang’s most recent publication, co-authored with Meng Y. and Xiao D., is titled “Prediction Techniques of Movie Box Office Using Neural Networks and Emotional Mining,” published in Scientific Reports. This work, cited as Zhang, Z., Meng, Y. & Xiao, D. (2024), highlights her contribution to predictive analytics within the field of communication. The article has received significant attention, providing a foundation for further exploration of emotional analysis in communication and media studies. 📚LEGACY AND FUTURE CONTRIBUTIONS As a young researcher, Zhuqing Zhang has laid a strong foundation for a lasting academic legacy. Her work in neural networks, emotional analysis, and media communication is expected to influence future research in these fields. Zhuqing’s ability to fuse traditional communication theories with modern technological tools positions her as a forward-thinking scholar in her discipline. Her future contributions are anticipated to explore more comprehensive predictive models and offer solutions to complex problems in media management. 📰PUBLICATIONS Prediction Techniques of Movie Box Office Using Neural Networks and Emotional Mining Authors: Zhuqing Zhang, Yutong Meng, Daibai Xiao Journal: Scientific Reports
Zhuqing has made significant contributions to the analysis and prediction of movie box office performance through the use of neural networks and emotional mining techniques. She employed the Word2vec algorithm to develop a feature thesaurus specific to the movie domain. Additionally, Zhuqing integrated emotional coloring adjectives and verbs into an emotional dictionary. By applying the TF-IDF algorithm, she successfully calculated emotional scores from movie reviews. This innovative approach culminated in the design of a predictive method for box office performance based on audience comments. Her research has provided valuable insights into the relationship between public sentiment and box office outcomes, offering decision-making support for the movie industry and related stakeholders.