Papers
3
Total Citations
41
H-Index
3
About
Fu-An Yang is a leading researcher in neurorehabilitation and assistive technologies, with a primary focus on gait training interventions for individuals with neurological disorders. Yang’s work centers on evaluating the efficacy of robotic and body weight-supported gait training for conditions such as spinal cord injury (SCI), multiple sclerosis (MS), and cerebral palsy. A key contribution is a 2022 network meta-analysis of randomized controlled trials, which systematically compared body weight-supported overground training, treadmill training, and robot-assisted gait training for SCI patients, providing critical evidence to guide clinical rehabilitation choices. This highly cited paper (20 citations) has shaped understanding of optimal ambulation strategies. Yang further advanced the field with a 2023 meta-analysis on robot-assisted gait training for MS, revealing limited clinical benefits over conventional therapy, thereby refining treatment expectations. Most recently, a 2024 meta-analysis extended this work to children with cerebral palsy, assessing robotic training’s impact on mobility. With cumulative citations reflecting growing influence, Yang’s rigorous syntheses of clinical trials have become essential resources for rehabilitation scientists and clinicians, driving evidence-based practice in neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3