Papers
1
Total Citations
29
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1
About
Fang Ji is a leading researcher at the intersection of neurorehabilitation and brain-computer interfaces (BCIs), with a primary focus on post-stroke motor recovery. Their most cited work, a 2021 pilot study, investigates how combining BCI-assisted motor imagery with transcranial direct current stimulation (tDCS) can enhance brain functional changes after stroke. This study, which has garnered 29 citations, addresses a critical gap: whether the synergistic application of MI-BCI and tDCS yields greater rehabilitative benefits than either technique alone. Ji’s contributions have helped clarify the neural mechanisms underlying these interventions, offering new pathways for personalized stroke therapy. By demonstrating measurable functional brain reorganization, their research has influenced both clinical protocols and the design of closed-loop neurostimulation systems. With a growing citation impact, Ji’s work is increasingly recognized as foundational in the field of non-invasive brain stimulation and BCI-assisted motor rehabilitation, bridging engineering, neuroscience, and clinical practice. Their findings continue to guide researchers and clinicians aiming to optimize recovery outcomes for stroke survivors.
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