Papers
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Total Citations
31
H-Index
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About
Can Yin is a pioneering researcher in neural engineering, with a primary focus on developing non-invasive brain–computer interface (BCI) systems. His most cited work, "A dry electroencephalogram electrode for applications in steady-state visual evoked potential-based brain–computer interface systems" (2021), has garnered 31 citations, highlighting its significance in advancing practical BCI technology. Yin’s major contribution lies in designing and validating dry EEG electrodes that eliminate the need for conductive gels, significantly enhancing user comfort and system portability for steady-state visual evoked potential (SSVEP)-based BCIs. This innovation addresses a critical barrier to real-world BCI adoption, enabling more accessible applications in assistive technology and neurorehabilitation. His research bridges materials science and signal processing, demonstrating how electrode design directly impacts signal quality and system performance. With a growing citation record, Yin’s work is shaping the future of wearable neurotechnology, offering a tangible path toward seamless human–computer interaction. His achievements underscore a commitment to translating laboratory breakthroughs into practical tools for individuals with motor disabilities, making him a notable figure in the evolving landscape of neural interfaces.
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