Haojie Li
Papers
1
Total Citations
17
H-Index
1
About
Haojie Li is a researcher whose work sits at the intersection of rehabilitation medicine, neurological recovery, and assistive technology. Li's most recognized contribution to date is a 2024 systematic review and meta-analysis examining the efficacy of lower limb robotic exoskeleton training (LRET) for stroke patients, a study that has already accumulated 17 citations since its publication — a strong indicator of early impact in a competitive field. Using the International Classification of Functioning, Disability and Health (ICF) as an analytical framework, this work addresses a critical gap in rehabilitation science by synthesizing evidence from randomized controlled trials to evaluate how robotic exoskeleton interventions influence motor function, daily activity, and broader social participation in stroke survivors. By bringing rigorous meta-analytic methodology to bear on an emerging therapeutic technology, Li helps clinicians and researchers navigate the complex landscape of neurorehabilitation options. This research is particularly valuable for students and practitioners seeking evidence-based guidance on integrating robotic assistive devices into post-stroke care protocols, and positions Li as a meaningful contributor to the growing field of technology-assisted neurological rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1