Anan Wu
Papers
1
Total Citations
2
H-Index
1
About
Anan Wu is a rehabilitation scientist whose work centers on the intersection of neurorehabilitation and assistive robotics, with a particular focus on post-stroke motor recovery. Wu’s most cited contribution is a meta-analysis examining the efficacy of robot-assisted gait training versus conventional overground gait training for improving gait velocity and balance in poststroke patients. This 2017 study, which has garnered 2 citations, provides critical evidence for clinicians weighing the benefits of high-tech rehabilitation tools against traditional methods. By synthesizing data from multiple trials, Wu’s work helps clarify when robotic interventions offer meaningful advantages—a question of growing importance as rehabilitation robotics become more widespread. While still early in their career, Wu’s research addresses a pressing clinical need: optimizing functional outcomes for stroke survivors. Their meta-analysis serves as a foundational resource for rehabilitation specialists and researchers designing future trials, highlighting the careful methodological rigor Wu brings to evidence-based practice in neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1