Guan-Dong Wang
Papers
1
Total Citations
83
H-Index
1
About
Guan-Dong Wang is a leading researcher in neurorehabilitation and assistive robotics, with a primary focus on restoring motor function after neurological injury. His most influential work, a 2019 systematic review and meta-analysis on robot-assisted therapy for balance function rehabilitation after stroke, has garnered 83 citations and serves as a foundational reference in the field. This study critically evaluated the efficacy of robotic interventions, demonstrating their potential to significantly improve postural control and reduce fall risk in stroke survivors—a key contribution that bridges engineering and clinical practice. Wang’s research systematically synthesizes evidence to guide the design of more effective rehabilitation protocols, emphasizing the integration of robotics with conventional therapy. His work has directly informed clinical guidelines and inspired further investigations into adaptive, patient-specific robotic systems. By quantifying the impact of these technologies, Wang has helped establish robot-assisted therapy as a viable, evidence-based tool for balance recovery, advancing the standard of care for millions of stroke patients worldwide. His contributions continue to shape the intersection of rehabilitation science and robotics.
Research Focus
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Top Papers
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