Chieh-ling Yang

Chang Gung University, Vancouver Coastal Health

Papers

5

Total Citations

382

H-Index

5

About

Chieh-ling Yang is a distinguished rehabilitation scientist and biomedical engineer whose work sits at the dynamic intersection of stroke recovery, robotic-assisted therapy, and wearable sensing technologies. Best known for pioneering comparative investigations of robot-assisted arm training protocols, Yang has significantly advanced clinical understanding of how unilateral versus bilateral approaches differentially impact motor control, trunk compensation, and functional performance in stroke survivors — research that has collectively garnered over 200 citations. Her 2012 and 2013 randomized controlled trials established critical evidence distinguishing therapist-based from robot-assisted bilateral training, informing clinical decision-making worldwide. More recently, Yang has expanded her research frontier into neuroimaging and wearable technology: her 2020 study revealed that robotic exoskeleton walking produces meaningful, task-dependent cortical activation, challenging assumptions about passive movement rehabilitation. Her most-cited work to date — a 2024 machine learning-powered smart textile glove system with 119 citations — demonstrates her evolution toward cutting-edge human-computer interaction tools capable of capturing nuanced hand movements and object interactions. Yang's career reflects a sustained commitment to translating innovative engineering solutions into tangible improvements for individuals living with neurological impairments.

Research Focus

Key Achievements

5
H-Index
5
Papers
382
Total Citations
76
Avg Citations/Paper
🏆 Most Cited Paper
Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves
119 citations · 2024
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Chang Gung University, Vancouver Coastal Health

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago