Siquan Liang

Sun Yat-sen University

Papers

1

Total Citations

9

H-Index

1

About

Siquan Liang has established themselves as a leading voice in neurorehabilitation, with a focused expertise in robot-assisted gait training (RAGT) for post-stroke recovery. Their most cited work, a 2024 systematic review with meta-analysis, provides a critical synthesis of how RAGT enhances lower limb motor performance in stroke survivors. This landmark study not only confirms the efficacy of robotic therapy in improving walking ability but, crucially, identifies the optimal dosage parameters for task-specific training—a practical contribution that directly informs clinical protocols and rehabilitation planning. With 9 citations in its first year, this paper signals strong and immediate impact within the rehabilitation engineering community. Liang’s research bridges the gap between advanced robotics and patient-centered outcomes, offering evidence-based guidelines that help clinicians maximize functional gains. Their work is essential reading for anyone interested in the intersection of technology and neuroplasticity, and it positions Liang as a key contributor to the future of automated, personalized stroke rehabilitation.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Effects of robot-assisted gait training on motor performance of lower limb in poststroke survivors: a systematic review with meta-analysis.
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago