Xiu Zhang
Papers
1
Total Citations
55
H-Index
1
About
Xiu Zhang is a clinical rehabilitation researcher whose work sits at the intersection of neurological recovery, assistive technology, and evidence-based medicine. Best known for the 2021 systematic review and meta-analysis examining the effects of robot-assisted training on balance function in stroke patients — a study that has garnered 55 citations and stands as a significant contribution to the rehabilitation science literature — Zhang has helped advance the understanding of how emerging robotic technologies can be rigorously evaluated for their clinical effectiveness. Drawing on data from major databases including PubMed, the Cochrane Library, Embase, and China National Knowledge Infrastructure, this work synthesized evidence from randomized controlled trials to assess whether robot-assisted therapy meaningfully improves balance outcomes in stroke survivors, a population for whom functional recovery remains a pressing global health challenge. Zhang's methodological approach, grounded in systematic review methodology, reflects a commitment to translating high-quality evidence into practical clinical guidance. For students and researchers exploring neurorehabilitation or human-robot interaction in therapeutic settings, Zhang's scholarship offers a valuable, data-driven lens through which to evaluate the growing role of robotics in post-stroke care.
Research Focus
Key Achievements
Top Papers
- 1