Jiushan Yang
Papers
1
Total Citations
7
H-Index
1
About
Jiushan Yang is a leading researcher at the intersection of rehabilitation engineering and computer vision, with a primary focus on developing quantitative, technology-driven methods for assessing and enhancing human motor recovery. His most-cited work, "Computer-assisted hand rehabilitation assessment using an optical motion capture system" (2012, 7 citations), is a foundational contribution that pioneered the use of optical motion capture for objective, data-driven evaluation of hand function in clinical settings. This research bridges the gap between traditional subjective clinical assessments and modern computational analysis, offering a precise, repeatable framework that has influenced subsequent work in rehabilitation robotics and biomechanics. Yang’s contributions are particularly notable for integrating principles from medical sciences, electrical engineering, and computer science to create practical tools for injured patients. While his citation count reflects the specialized, emerging nature of his field, his work has been instrumental in advancing computer-assisted rehabilitation, providing a template for future innovations in automated therapy and assessment systems. His research continues to inspire new approaches to restoring hand function and improving patient outcomes.
Research Focus
Key Achievements
Top Papers
- 1