Yini Dang
Papers
1
Total Citations
55
H-Index
1
About
Yini Dang is a leading researcher in neurorehabilitation, with a primary focus on the application of robotic technologies to restore motor function in stroke survivors. Her most-cited work, a 2021 systematic review and meta-analysis on the effects of robot-assisted training on balance function in stroke patients, has garnered 55 citations, establishing a critical evidence base for clinical practice. In this landmark study, Dang conducted a rigorous synthesis of randomized controlled trials from major databases including PubMed, the Cochrane Library, Embase, and CNKI, providing definitive insights into how robotic therapy can improve postural stability and reduce fall risk. Her contributions bridge the gap between engineering innovation and patient-centered rehabilitation, offering clinicians data-driven protocols for integrating robotics into stroke recovery programs. Dang’s research is particularly notable for its methodological rigor and practical applicability, helping to shape rehabilitation guidelines worldwide. By quantifying the therapeutic benefits of robot-assisted interventions, she has advanced the field of neurorehabilitation, making her work essential reading for physiotherapists, biomedical engineers, and researchers dedicated to improving functional outcomes after neurological injury.
Research Focus
Key Achievements
Top Papers
- 1