About

Shishi Chen is an emerging clinical researcher specializing in neurorehabilitation, with a particular focus on robotic-assisted therapy and brain stimulation techniques for stroke recovery. Chen's work sits at the intersection of technology and neuroscience, investigating how cutting-edge interventions can restore motor function in stroke survivors who struggle with both upper and lower limb impairments. Chen's most impactful contribution to date is a systematic review and meta-analysis examining robot-assisted gait training (RAGT), which has already garnered 29 citations since its 2024 publication — a remarkable achievement reflecting its immediate relevance to the rehabilitation community. Complementing this, Chen has pioneered investigations into how combining robotic training with non-invasive brain stimulation techniques — including intermittent theta burst stimulation (iTBS) and transcranial direct current stimulation (tDCS) — can enhance cortical activation and accelerate motor recovery, employing sophisticated neuroimaging tools such as functional near-infrared spectroscopy to illuminate underlying mechanisms. With a growing body of work including network meta-analyses synthesizing evidence across multiple neuromodulation strategies, Chen is rapidly establishing a reputation for rigorous, evidence-based research that bridges laboratory neuroscience and clinical practice, offering meaningful hope to the millions of stroke survivors worldwide seeking improved rehabilitation outcomes.

Research Focus

Key Achievements

3
H-Index
4
Papers
49
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
How robot-assisted gait training affects gait ability, balance and kinematic parameters after stroke: a systematic review and meta-analysis
29 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: The Third Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang Chinese Medical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago