Meiyu Shi

Qufu Normal University

Papers

1

Total Citations

5

H-Index

1

About

Dr. Meiyu Shi is pioneering accessible brain-computer interface (BCI) technology, with a focus on simplifying electroencephalography (EEG) systems for real-world use. Her most-cited work, "A portable EEG signal acquisition system and a limited-electrode channel classification network for SSVEP" (2025, 5 citations), tackles a critical barrier to BCI adoption: the reliance on cumbersome wet electrodes and dense electrode arrays. By developing a portable acquisition system paired with a classification network optimized for limited channels, Dr. Shi demonstrates that high-performance BCI can be achieved without sacrificing user comfort or practicality. This contribution directly addresses the gap between laboratory-grade systems and everyday usability, advancing the field toward lightweight, dry-electrode solutions. Her research holds promise for applications in assistive technology, neurorehabilitation, and human-computer interaction. Though early in her career, Dr. Shi’s work signals a shift toward user-centric BCI design, making her a rising voice in the pursuit of seamless neural interfaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A portable EEG signal acquisition system and a limited-electrode channel classification network for SSVEP
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Qufu Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago