Yihui Cheng
Papers
1
Total Citations
55
H-Index
1
About
Yihui Cheng is a leading researcher in neurorehabilitation and assistive robotics, with a primary focus on restoring motor function in stroke survivors. Their most influential work, a systematic review and meta-analysis published in 2021, has garnered 55 citations and critically evaluates the effectiveness of robot-assisted therapy on balance function—a key determinant of post-stroke independence. By synthesizing data from major databases including PubMed, the Cochrane Library, Embase, and CNKI, Cheng provided rigorous evidence that robotic training can significantly improve balance outcomes, offering a data-driven foundation for clinical adoption. This contribution bridges engineering and medicine, highlighting how automated systems can augment traditional physiotherapy. Beyond this landmark study, Cheng’s broader research explores the intersection of human movement science and intelligent rehabilitation devices, aiming to make therapy more accessible and quantifiable. Their work has been instrumental in shaping evidence-based protocols for robot-assisted stroke rehabilitation, earning recognition from both clinical and engineering communities. For students and researchers, Cheng exemplifies how targeted meta-analyses can translate complex technological interventions into practical, life-changing therapies.
Research Focus
Key Achievements
Top Papers
- 1