Papers
6
Total Citations
89
H-Index
4
About
Dr. Zengyong Li is a leading researcher in neurorehabilitation engineering, specializing in the integration of robotic exoskeletons and functional near-infrared spectroscopy (fNIRS) to restore motor function after stroke. His work uniquely bridges robotics and neuroscience, focusing on how robot-assisted training drives neuroplasticity in both upper and lower limbs. In a landmark 2024 randomized controlled trial (31 citations), Dr. Li demonstrated that unilateral lower-limb exoskeleton training significantly improves balance, gait, and cortical reorganization in subacute stroke patients, outperforming conventional therapy. He further showed that robot-assisted upper-limb training induces measurable brain functional responses via fNIRS, enabling prediction of motor recovery potential—a critical step toward personalized rehabilitation. His 2022 study (25 citations) revealed that neuroimaging markers can differentiate treatment effects across varying levels of motor dysfunction. With over 89 total citations across his most-cited works, Dr. Li’s research is shaping evidence-based protocols for robotic neurorehabilitation. His recent investigations into cognitive-motor integration and passive versus assistive robotic training continue to expand the frontier of post-stroke recovery, making his work essential reading for clinicians and engineers developing next-generation rehabilitation technologies.
Research Focus
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Top Papers
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