Mingliang Zhang
Papers
1
Total Citations
30
H-Index
1
About
Dr. Mingliang Zhang is a leading researcher in rehabilitation robotics and assistive technologies, with a focus on quantitative motor function assessment for stroke patients. His most-cited work, "Quantitative Evaluation System of Upper Limb Motor Function of Stroke Patients Based on Desktop Rehabilitation Robot" (2022, 30 citations), addresses a critical gap in post-stroke care by replacing subjective, doctor-led evaluations with objective, robot-assisted measurement. This innovation enhances the precision and consistency of rehabilitation training, enabling personalized therapy and remote monitoring. Dr. Zhang’s contributions bridge robotics, clinical neuroscience, and human-machine interaction, offering scalable solutions for neurorehabilitation. His work has been recognized for its potential to reduce healthcare burdens and improve patient outcomes, with growing citation impact reflecting its relevance in an aging global population. By integrating desktop robots into clinical workflows, Dr. Zhang is advancing the frontier of automated, data-driven rehabilitation, making him a key figure in the evolution of assistive medical robotics.
Research Focus
Key Achievements
Top Papers
- 1