Guangning Wang
Papers
1
Total Citations
58
H-Index
1
About
Guangning Wang is a leading researcher in rehabilitation robotics and neurorehabilitation, with a focus on developing and evaluating robotic interventions for upper limb recovery after stroke. His major contributions center on synthesizing clinical evidence to optimize robot-assisted therapy, particularly through distal training approaches that target hand and wrist function. In his highly cited 2022 systematic review and meta-regression, Wang demonstrated that robot-assisted distal training significantly improves dexterity and functional outcomes in stroke survivors, providing crucial insights into dosage parameters and patient selection for maximizing therapeutic benefits. With over 58 citations, this work has become a foundational reference for clinicians and engineers designing next-generation rehabilitation technologies. Wang’s research bridges engineering innovation and clinical practice, advancing personalized robotic systems that adapt to individual patient needs. His work is notable for its rigorous methodology and translational impact, helping to establish evidence-based guidelines for integrating robotics into stroke rehabilitation protocols. By quantifying the efficacy of these interventions, Wang is shaping the future of motor recovery and inspiring new directions in assistive robotics.
Research Focus
Key Achievements
Top Papers
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