Wan-Wen Liao
Papers
4
Total Citations
357
H-Index
4
About
Wan-Wen Liao is a leading researcher in stroke rehabilitation, specializing in robot-assisted therapy, motor recovery prediction, and functional upper-limb outcomes. Her seminal 2011 randomized controlled trial, cited 174 times, demonstrated that robot-assisted upper limb rehabilitation significantly improves daily function and real-world arm activity in chronic stroke patients, challenging conventional therapy approaches. In a companion study (108 citations), she established a critical dose-response relationship, showing that higher-intensity robot-assisted therapy yields superior motor gains. Liao has also pioneered the use of machine learning to predict clinically significant motor recovery, as evidenced by her 2020 work (53 citations) that leverages algorithmic models to forecast treatment outcomes with high accuracy. Her 2019 study (22 citations) further identified key predictors of meaningful changes in both actual and perceived functional arm use. Through these contributions, Liao has advanced evidence-based rehabilitation protocols, enabling personalized treatment intensity and data-driven prognosis. Her work bridges engineering and clinical neuroscience, offering practical tools for optimizing post-stroke care and improving quality of life for survivors.
Research Focus
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Top Papers
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