Qingming Qu

Fudan University, Nantong University

Papers

4

Total Citations

67

H-Index

3

About

Qingming Qu is a leading researcher in neurorehabilitation engineering, specializing in robot-assisted therapy for stroke survivors. His work focuses on developing and validating human-robot collaborative interaction technologies that restore upper limb function—a critical challenge given that stroke is a primary cause of acquired disability worldwide. Qu’s most cited study (2021, 31 citations) demonstrated that robot-assisted task-oriented training using force control technology significantly improves upper limb function in stroke patients. He further advanced the field with a multicentre randomized controlled trial (2022, 23 citations) comparing robot-assisted training to enhanced conventional therapy, revealing benefits for both upper and lower extremities. Qu has also pioneered customizable passive neurorehabilitation exercises based on teaching-training mechanisms (2021, 12 citations), addressing early-stage paralysis. His most recent work (2025) employs resting-state fMRI to elucidate the neural mechanisms underlying robotic-assisted therapy, showing how neuroplastic reorganization mediates motor recovery. By integrating engineering innovation with rigorous clinical trials and neuroimaging, Qu is shaping the future of personalized, evidence-based robotic rehabilitation.

Research Focus

Key Achievements

3
H-Index
4
Papers
67
Total Citations
17
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: 27
🏛 Institutions: Fudan University, Nantong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago