Yanxin Zhang
Papers
24
Total Citations
429
H-Index
9
About
Yanxin Zhang is a leading researcher at the intersection of rehabilitation robotics, biomechanics, and human-machine interaction, whose work has profoundly shaped how technology supports motor recovery in stroke patients and beyond. His most influential contribution, a 2016 systematic review of bilateral upper-limb rehabilitation robots (99 citations), established a foundational framework for evaluating and designing robot-assisted stroke therapies. Complementing this, his investigations into EMG-driven neuromuscular models and passive ankle torque estimation have advanced the development of more personalized, biologically informed rehabilitation systems. Zhang's research extends into digital human modeling within smart manufacturing (91 citations), demonstrating his versatility across domains where human movement and computational modeling intersect. His studies on Locomat exoskeleton parameters and muscle activation patterns during bilateral training have provided clinicians with actionable insights into optimizing robotic therapy protocols. More recently, his work on high-performance flexible tactile sensors (33 citations) signals a growing interest in next-generation sensing technologies. With over 350 cumulative citations, Zhang's body of work bridges engineering innovation and clinical application, making him an essential reference for researchers developing intelligent rehabilitation and human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
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- 7An Industrial Robot-Based Rehabilitation System for Bilateral Exercises23 citations · 2019
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