Yunxiao Ma
Papers
1
Total Citations
5
H-Index
1
About
Yunxiao Ma is a rising researcher in the field of brain-computer interfaces (BCIs), with a primary focus on developing practical, portable EEG systems that can transition laboratory-grade neural decoding into real-world applications. His most-cited work, "A portable EEG signal acquisition system and a limited-electrode channel classification network for SSVEP" (2025, 5 citations), addresses a critical bottleneck in BCI adoption: the reliance on cumbersome wet electrodes and dense electrode arrays. Ma’s major contribution lies in designing a streamlined, limited-electrode classification network that maintains high signal fidelity while dramatically reducing system complexity, paving the way for user-friendly, daily-life BCIs. By tackling the trade-off between signal quality and portability, his research has already garnered early attention, with 5 citations in its first year—a promising indicator of its growing impact. This work not only advances steady-state visual evoked potential (SSVEP) paradigms but also sets a foundation for future wearable neurotechnology. Ma’s achievements are particularly notable for their emphasis on practical deployment, positioning him as a key innovator in making BCIs accessible beyond the lab.
Research Focus
Key Achievements
Top Papers
- 1