Papers
3
Total Citations
15
H-Index
2
About
Xinyi Su is a rising researcher in neurorehabilitation, specializing in the recovery of lower extremity motor function after stroke. Her work sits at the intersection of neuromodulation and robotic therapy, exploring how combining brain stimulation techniques with robot-assisted gait training can enhance motor recovery. Su’s most-cited paper, a 2024 network meta-analysis on the optimal exercise prescription for robot-assisted gait training in stroke patients, has already garnered 11 citations, establishing a foundational reference for clinicians designing rehabilitation protocols. Her 2025 study further investigates the synergistic effects of anodal transcranial direct current stimulation (tDCS) with robotic training, probing the underlying mechanisms of motor cortex regulation—a critical step toward personalized neurorehabilitation. Another 2025 network meta-analysis systematically evaluates various neuromodulation interventions paired with robotic gait training, offering evidence-based guidance for treatment selection. Su’s contributions are particularly notable for their methodological rigor and clinical relevance, providing actionable insights for optimizing post-stroke rehabilitation. Her work is shaping how rehabilitation scientists and clinicians think about combining non-invasive brain stimulation with robotic technologies, promising more effective, tailored interventions for stroke survivors.
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