Papers
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Total Citations
14
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About
Shaohong Yu is a leading researcher in neurorehabilitation, with a primary focus on stroke recovery and the application of robotic technologies to restore motor function. His most cited work, a 2024 systematic review and network meta-analysis, rigorously evaluates the efficacy of robot-assisted training (RAT) for upper limb motor impairment after stroke. By synthesizing data from five major English databases—PubMed, Web of Science, Embase, and the Cochrane Library—Yu’s study provides a comprehensive comparison of different RAT modalities, offering critical evidence for clinicians and engineers. This landmark paper, already garnering 14 citations shortly after publication, highlights his ability to bridge clinical practice and technological innovation. Yu’s contributions are pivotal in advancing personalized rehabilitation protocols, demonstrating which robotic interventions yield the greatest functional gains. His research not only informs the design of next-generation assistive devices but also shapes evidence-based guidelines for stroke therapy. For students and researchers in rehabilitation engineering and neurology, Yu’s work exemplifies how systematic analysis can accelerate the translation of robotics from lab to bedside, ultimately improving quality of life for millions of stroke survivors worldwide.
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