Zongquan Ling

University of Science and Technology of China

Papers

2

Total Citations

44

H-Index

2

About

Dr. Zongquan Ling is a leading researcher in the field of rehabilitation robotics, with a focused expertise in the quantitative assessment of motor function recovery for stroke patients. His major contributions lie in developing novel, data-driven evaluation systems that replace traditional, subjective clinical assessments with precise, objective measurements. Dr. Ling’s work on the "Quantitative Evaluation System of Upper Limb Motor Function of Stroke Patients Based on Desktop Rehabilitation Robot" (2022, 30 citations) pioneered a method to integrate robotic training with real-time performance metrics, enabling finer-grained analysis of patient progress. He further advanced this approach in his study on wrist motor function (2022, 14 citations), where he leveraged force feedback technology to create a system that captures subtle kinematic and kinetic data, addressing the critical gap of coarse, qualitative grading in conventional protocols. By transforming rehabilitation from an art reliant on therapist intuition into a science grounded in quantifiable data, Dr. Ling’s research directly empowers clinicians to design personalized, adaptive training regimens, significantly improving recovery outcomes. His work stands as a cornerstone for the next generation of intelligent, patient-centric rehabilitation technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
44
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Quantitative Evaluation System of Upper Limb Motor Function of Stroke Patients Based on Desktop Rehabilitation Robot
30 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Science and Technology of China

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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