Papers
29
Total Citations
1,168
H-Index
16
About
Li-Qun Zhang is a pioneering figure in rehabilitation robotics, whose work centers on developing intelligent robotic systems for neurorehabilitation, particularly for stroke survivors and children with cerebral palsy. His major contributions lie in creating portable, multi-joint exoskeletons—such as the IntelliArm and whole-arm devices—that combine passive stretching with active movement training to restore motor function in the upper and lower limbs. Notably, his research has produced a wearable ankle rehabilitation robot for acute stroke rehabilitation (142 citations) and a portable robot for children with cerebral palsy (129 citations), demonstrating significant clinical impact. Zhang’s work also advances electromyography (EMG)-based control, enabling real-time, continuous decoding of arm and ankle movements to enhance human-robot interaction. With over 900 total citations across his top papers, his innovations have been validated in both laboratory and home-based settings, as shown in a pilot comparative trial (48 citations). His achievements include developing the IntelliArm exoskeleton for diagnosis and therapy (88 citations), which measures multi-joint forces to improve outcome evaluation. Zhang’s research bridges engineering and clinical practice, offering scalable, effective solutions for motor recovery.
Research Focus
Key Achievements
Top Papers
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- 9Developing an Intelligent Robotic Arm for Stroke Rehabilitation54 citations · 2007
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