Lei Fang

Jilin Agricultural Science and Technology University

Papers

Total Citations

H-Index

About

Lei Fang is a researcher whose work sits at the intersection of computer vision, sports science, and video analysis. His primary research focus is on developing motion recognition technologies that decode complex athletic movements from video footage, with a particular emphasis on badminton. In his most cited work, "Motion recognition technology of badminton players in sports video images" (2021), Fang introduced novel methods for extracting and classifying player movements from video sequences, enabling automated analysis of technique and performance. This paper has accumulated 31 citations, reflecting its growing influence in the field of sports analytics. Fang's contributions are especially valuable for coaches and athletes seeking data-driven insights into movement patterns, as well as for researchers developing real-time feedback systems. By bridging the gap between computer vision algorithms and practical sports applications, Lei Fang is helping to shape the future of intelligent sports training and performance evaluation.