Electroencephalography-based Brain-computer Interfaces

Electroencephalography-Based Brain-Computer Interfaces is a type of brain-computer interface that specifically employs electroencephalography to non-invasively measure and interpret neural oscillations from the scalp for translating brain activity into commands or outputs.

2.5K

Publications

173.5K

Citations

6.2K

Authors

1.7K

Institutions

Publications per year

2017–2026

992

Variants

Eeg-based Brain-computer Interfaces

Authors

6.2K

  1. JR
    Jonathan R. Wolpaw

    New York State Department of Health, United States

    45 publications · 14K citations

    41

    h-index

  2. YW
    Yijun Wang

    Chinese Academy of Sciences, China

    50 publications · 7.4K citations

    35

    h-index

  3. BB
    Benjamin Blankertz

    Technische Universität Berlin, Germany

    42 publications · 9.8K citations

    34

    h-index

  4. XG
    Xiaorong Gao

    Tsinghua University, China

    48 publications · 7.4K citations

    34

    h-index

  5. AK
    Andrea Kübler

    University of Würzburg, Germany

    35 publications · 6.3K citations

    32

    h-index

1–5 of 6.2K

Venues

  1. 72

    h-index

  2. Journal of Neural Engineering

    159 publications · 20.4K citations

    66

    h-index

  3. IEEE Transactions on Biomedical Engineering

    64 publications · 11.6K citations

    51

    h-index

  4. PLoS ONE

    56 publications · 4.7K citations

    37

    h-index

  5. Frontiers in Neuroscience

    57 publications · 6.2K citations

    32

    h-index

1–5