Zhouzhou Zhou

Kunming University of Science and Technology

Papers

Total Citations

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About

Zhouzhou Zhou is a pioneering researcher in brain–computer interfaces (BCIs), with a focus on advancing non-invasive neural decoding for real-world applications. Her work centers on the intersection of electroencephalography (EEG) and motor imagery, particularly visual-motor imagery (VMI) paradigms—a relatively underexplored area with transformative potential for clinical BCI systems. In her most-cited paper, "A novel strategy for driving car brain–computer interfaces: Discrimination of EEG-based visual-motor imagery" (2021, 6 citations), Zhou introduces innovative feature extraction methods to enhance VMI-BCI accuracy, addressing a critical gap in the field. This work demonstrates how kinesthetic motor imagery can be leveraged for practical tasks like controlling a virtual car, bridging the gap between laboratory research and real-world assistive technologies. While her citation count is still growing, Zhou’s contributions are notable for their methodological rigor and focus on understudied paradigms, positioning her as an emerging voice in BCI research. Her achievements include pioneering VMI-based discrimination strategies that could one day empower individuals with motor disabilities, making her a researcher to watch in the evolving landscape of neural engineering.