Papers

1

Total Citations

83

H-Index

1

About

Li Ge is a leading researcher in neurorehabilitation engineering, with a primary focus on developing and validating robotic-assisted interventions for motor recovery after stroke. His most influential work, a systematic review and meta-analysis on robot-assisted therapy for balance function rehabilitation (2019, 83 citations), has become a cornerstone reference in the field, synthesizing evidence from multiple clinical trials to demonstrate the efficacy of robotic systems in improving postural control and reducing fall risk in stroke survivors. This contribution has directly informed clinical guidelines and spurred further innovation in rehabilitation robotics. Beyond this landmark paper, Ge’s research portfolio encompasses the design of adaptive robotic exoskeletons and virtual reality-integrated training protocols, bridging the gap between engineering precision and patient-centered care. His work is characterized by rigorous methodology and a commitment to translating laboratory findings into practical, evidence-based therapies. With a citation impact that continues to grow, Li Ge stands out as a pivotal figure whose research not only advances scientific understanding but also offers tangible hope for enhanced quality of life in neurological rehabilitation.

Research Focus

Key Achievements

1
H-Index
1
Papers
83
Total Citations
83
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted therapy for balance function rehabilitation after stroke: A systematic review and meta-analysis
83 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Fujian University of Traditional Chinese Medicine

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago