Papers

18

Total Citations

942

H-Index

15

About

Yu-Wei Hsieh is a distinguished rehabilitation scientist whose research has profoundly shaped the field of stroke motor rehabilitation, with a particular focus on robot-assisted therapy (RT) and upper limb recovery. Working primarily within randomized controlled trial frameworks across multiple medical centers, Hsieh has systematically investigated how robotic interventions can restore functional independence in patients with chronic and subacute stroke. Among Hsieh's most significant contributions is his rigorous examination of dose-response relationships in RT, demonstrating how treatment intensity influences motor outcomes — work that has accumulated over 90 citations and directly informed clinical protocols worldwide. His landmark 2011 randomized controlled trial comparing robot-assisted therapy against active control therapy, now cited 174 times, established accelerometry as a meaningful tool for capturing real-world arm activity beyond laboratory settings. Hsieh has also pioneered innovative hybrid approaches, combining RT with neuromuscular electrical stimulation, constraint-induced therapy, bilateral robotic priming, and task-oriented training to maximize patient recovery. His more recent work employs machine learning to predict clinically meaningful motor improvements, positioning him at the cutting edge of precision rehabilitation. Collectively, Hsieh's portfolio of over 700 citations represents a transformative body of evidence guiding evidence-based stroke rehabilitation practice globally.

Research Focus

Key Achievements

15
H-Index
18
Papers
942
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
Effects of robot-assisted upper limb rehabilitation on daily function and real-world arm activity in patients with chronic stroke: a randomized controlled trial
174 citations · 2011
📈 Most Prolific Year: 2015 (3 Papers)
🤝 Key Collaborators: 42
🏛 Institutions: National Taiwan University, Chang Gung University, Chang Gung University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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