Fengxian Guo

Shanghai Electric (China)

Papers

3

Total Citations

66

H-Index

3

About

Fengxian Guo is a leading researcher in neurorehabilitation robotics, with a focus on restoring upper limb function in stroke survivors. Her work centers on developing and validating robot-assisted training systems that leverage human-robot collaborative interaction force control technology to deliver task-oriented therapy. Guo’s major contributions include demonstrating the clinical efficacy of robotic training through rigorous trials: her 2021 study on robot-assisted task-oriented training (31 citations) showed significant improvements in upper limb function, while her 2022 multicenter randomized controlled trial (23 citations) provided comparative evidence that robotic training can enhance both upper and lower extremity recovery. She has also advanced the personalization of rehabilitation by customizing passive neurorehabilitation exercises based on teaching-training mechanisms (12 citations), addressing a critical need for individualized therapy in early-stage or severely impaired patients. With her papers collectively cited over 66 times, Guo’s work bridges engineering innovation and clinical practice, offering evidence-based solutions that improve independence and quality of life for stroke survivors. Her research is essential reading for those interested in the intersection of robotics, rehabilitation, and patient-centered care.

Research Focus

Key Achievements

3
H-Index
3
Papers
66
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
The Effect of Applying Robot‐Assisted Task‐Oriented Training Using Human‐Robot Collaborative Interaction Force Control Technology on Upper Limb Function in Stroke Patients: Preliminary Findings
31 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Shanghai Electric (China)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago