Shuizhen Xiang
Papers
1
Total Citations
4
H-Index
1
About
Shuizhen Xiang is a pioneering researcher at the intersection of artificial intelligence, sports science, and thermal imaging. Her work focuses on leveraging computational thermal modeling and AI-driven monitoring to prevent sports injuries, particularly in high-intensity disciplines like aerobics. In her most cited study, "Infrared thermal image monitoring based on artificial intelligence application in the prevention of sports injuries in aerobics: Computational thermal modeling" (2024), Xiang introduces a novel framework that uses infrared thermography combined with machine learning to detect early signs of musculoskeletal stress and fatigue. This approach enables real-time, non-invasive injury risk assessment, offering a significant advancement over traditional observational methods. With 4 citations in a short time, her work is gaining traction among sports medicine and AI researchers. Xiang’s contributions are notable for bridging computational modeling with practical athletic training, providing coaches and athletes with data-driven tools to enhance performance while minimizing injury risk. Her research holds promise for broader applications in rehabilitation and wearable health monitoring.
Research Focus
Key Achievements
Top Papers
- 1