Ya‐Ju Chang
Papers
10
Total Citations
300
H-Index
8
About
Ya-Ju Chang is a leading researcher in neurorehabilitation, specializing in robot-assisted therapy for stroke and spinal cord injury recovery. Her work focuses on optimizing rehabilitation protocols through robotic priming, bilateral arm training, and mirror therapy to enhance motor function and neural plasticity. Chang’s most-cited paper (91 citations) established the dose–response relationship of robot-assisted stroke motor rehabilitation, providing critical evidence for treatment intensity. Her meta-analysis on robot-assisted gait training in spinal cord injury (81 citations) demonstrated significant benefits for spasticity and pain management. She pioneered hybrid approaches combining unilateral and bilateral robotic systems, with a randomized controlled trial (32 citations) showing improved upper limb function in chronic stroke. Her 2023 study (20 citations) introduced three complementary strategies—robotic priming with mirror therapy, arm training, and movement-oriented therapy—to restore arm function. Chang’s research has directly informed clinical guidelines, and her protocols for combining robotic priming with task-oriented therapies are widely adopted. With over 300 total citations, she continues to shape evidence-based neurorehabilitation, advancing personalized, technology-driven interventions that improve daily living and sensorimotor outcomes for patients with neurological injuries.
Research Focus
Key Achievements
Top Papers
- 1Dose–Response Relationship of Robot-Assisted Stroke Motor Rehabilitation91 citations · 2012
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