X-Q Hu
Papers
1
Total Citations
9
H-Index
1
About
X-Q Hu is a leading researcher in neurorehabilitation, with a primary focus on the application of robotic technologies to restore motor function in post-stroke survivors. Their most-cited work, a 2024 systematic review with meta-analysis, rigorously investigates the effects of robot-assisted gait training (RAGT) on lower limb motor performance. This landmark study not only confirms RAGT’s efficacy in improving walking ability but also pioneers the determination of optimal training dosages—a critical, practical contribution that bridges the gap between experimental robotics and clinical prescription. By synthesizing data from multiple trials, Hu provides evidence-based guidelines for task-specific training intensity, directly informing rehabilitation protocols. With 9 citations on this single paper, their work is rapidly gaining traction among clinicians and researchers seeking to maximize functional recovery. Hu’s research stands out for its methodological rigor and translational impact, offering clear, actionable insights for stroke rehabilitation. Their dedication to quantifying the “how much” of robotic therapy marks a significant step toward personalized, data-driven neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1