Phyllis Liang
Papers
2
Total Citations
53
H-Index
2
About
Phyllis Liang is a pioneering researcher at the intersection of neurorehabilitation and digital health technology. Her work centers on developing intelligent, decentralized systems to democratize access to quality therapy for stroke survivors and individuals with neurological impairments. Liang’s major contributions include designing technology-assisted platforms that replace traditional, hospital-bound rehabilitation models with remote, sensor-driven solutions. Her highly cited 2021 paper, “Neurorehabilitation From a Distance” (51 citations), was a landmark study that demonstrated how intelligent technology could overcome barriers exposed by the COVID-19 pandemic, enabling continuous care without physical proximity. More recently, her 2023 protocol for the TAILOR platform (Technology-Assisted dIgitaL biOmaRker) introduces a novel framework for tracking upper limb sensorimotor recovery in Asian stroke survivors using digital biomarkers, moving beyond conventional clinical scores to capture real-world functional gains. With a growing citation impact and a focus on underserved populations, Liang is shaping the future of equitable, data-driven neurorehabilitation—making her work essential reading for students and researchers interested in digital health, stroke recovery, and accessible therapy innovation.
Research Focus
Key Achievements
Top Papers
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