Jinyan Ge
Papers
1
Total Citations
18
H-Index
1
About
Dr. Jinyan Ge is a leading researcher in sports data analytics, with a primary focus on the intersection of big data, artificial intelligence, and athletic performance optimization. Their most cited work, "Construction and Simulation of a Multiattribute Training Data Mining Model for Basketball Players Based on Big Data" (2021, 18 citations), represents a significant contribution to the field of sports science. In this study, Dr. Ge pioneered the integration of multiattribute training data with advanced data mining techniques, specifically employing multi-training target robots to capture and analyze three-dimensional feedback from athletes. This innovative approach enables a more accurate and holistic understanding of player performance, moving beyond traditional single-metric evaluations. By simulating complex training scenarios, Dr. Ge’s model provides coaches and sports scientists with actionable insights for personalized training regimens. This work has been recognized as a foundational step in the application of big data to sports training, earning Dr. Ge a reputation for bridging the gap between computational modeling and practical athletic development. Their research continues to influence how data-driven methods are used to enhance performance in competitive sports.
Research Focus
Key Achievements
Top Papers
- 1