Xu Li | Psychophysiology | Best Researcher Award

Published on by Life Science

Dr. Xu Li | Psychophysiology | Best Researcher Award

Chongqing University of Posts and Telecommunications | China

Dr. Li Xu is a lecturer and active researcher in physical education whose scholarly contributions have significantly advanced the integration of technology and health sciences in sports and exercise studies. With a strong publication record, his research outputs include peer-reviewed journal articles in Education and Information Technologies, Frontiers in Nutrition, and IEEE conference proceedings, as well as multiple academic books and intellectual property contributions. According to Google Scholar, Dr. Li Xu has authored 23 documents that collectively reflect his wide-ranging expertise in fitness monitoring, intelligent physical education systems, and applied health sciences. His publications have been well received in the academic community, accumulating 39 citations to date, which demonstrates both relevance and impact across educational technology and physical fitness research domains. His h-index is 4, highlighting consistent influence through papers that continue to be referenced by peers internationally. Beyond publishing, Dr. Li Xu leads multiple funded research projects in China, serves as a reviewer for Q1 journals such as Cognitive Computation and Humanities and Social Sciences Communications, and contributes to professional training and supervision of students. This combination of research excellence, academic leadership, and practical innovation underscores his growing reputation as a scholar in physical education and health development.

Featured Publications

Ben, S., Zheng, W., & Li, X. (2025, August 12). Multifactorial influences on musical creativity: An integrated perspective on cognitive and social capital factors. Frontiers in Psychology, 16, 1585658. https://doi.org/10.3389/fpsyg.2025.1585658

Li, X., Tan, W. H., Bin, Y., Yang, P., Yang, Q., & Xu, T. (2025). Analysing factors influencing undergraduates’ adoption of intelligent physical education systems using an expanded TAM. Education and Information Technologies, 30, 5755–5785.

Li, X., Tan, W. H., Zheng, X., Dou, D., Wang, Y., & Yang, H. (2025). Effects of digital monitoring and immediate feedback on physical activity and fitness in undergraduates. Education and Information Technologies, 30, 3743–3769.

Li, X., Tan, W. H., Li, Z., Dou, D., & Zhou, Q. (2024). Adaptive fitness enhancement model: Improving exercise feedback and outcomes through tailored independent physical education plan. Education and Information Technologies, 29, 19233–19265

Li, Z., He, S., Li, X., & Xue, M. (2023, December 17). Personalized federated learning for fast convergence and local adaption: A double gradient descent method. In 2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) (pp. 536–541). IEEE.