Xintong Zhang

Papers

1

Total Citations

55

H-Index

1

About

Xintong Zhang is a leading researcher in neurorehabilitation, with a primary focus on the application of robotic technologies to restore motor function in stroke survivors. Her most influential work is a comprehensive systematic review and meta-analysis, which rigorously evaluated the effects of robot-assisted training on balance function in post-stroke patients. By synthesizing data from multiple randomized controlled trials, Zhang provided critical evidence that robotic therapy can significantly improve balance outcomes, a key predictor of functional independence and fall risk. This landmark study, published in 2021 and garnering 55 citations, has become a foundational reference for clinicians and engineers developing next-generation rehabilitation devices. Zhang’s contributions bridge the gap between engineering innovation and clinical practice, offering a data-driven pathway for integrating robotics into standard stroke care. Her work not only validates the efficacy of these interventions but also highlights the importance of personalized, technology-assisted rehabilitation. For students and researchers, Zhang exemplifies how rigorous evidence synthesis can accelerate the translation of cutting-edge technology into tangible patient benefits, shaping the future of neurorehabilitation.

Research Focus

Key Achievements

1
H-Index
1
Papers
55
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Effects of robot-assisted training on balance function in patients with stroke: A systematic review and meta-analysis
55 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago