Yiji Wang
Papers
1
Total Citations
14
H-Index
1
About
Yiji Wang is a leading researcher in the field of neurorehabilitation, with a primary focus on robotic-assisted gait training for stroke recovery. Her most cited work investigates the persistent effects of the Gait Exercise Assist Robot (GEAR) on subacute stroke patients, demonstrating that robotic training not only improves walking speed and lower limb function but also yields lasting benefits confirmed through three-dimensional gait analysis. This matched case-control study, with 14 citations, represents a critical contribution to understanding the long-term efficacy of rehabilitation robotics. Wang’s research bridges engineering and clinical medicine, providing evidence that automated gait therapy can produce sustained motor improvements—a key challenge in post-stroke care. Her work has influenced rehabilitation protocols and highlighted the importance of objective biomechanical assessment in evaluating robotic interventions. By showing that GEAR training leads to durable gait pattern changes, Wang has advanced the integration of robotics into standard rehabilitation practice, offering hope for more effective, data-driven recovery strategies. Her findings continue to guide clinicians and engineers in optimizing robotic systems for neurological rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1