The application of traditional machine learning and deep learning with EEG for mild cognitive impairment: a bibliometric analysis.

Wan Z, Lin Z, Liu Y, Wang R, Yang R, Ai Y

Open source

DOI: 10.3389/fnagi.2026.1880346
Published: 2026
Container: Frontiers in aging neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnagi.2026.1880346,
  title = {The application of traditional machine learning and deep learning with EEG for mild cognitive impairment: a bibliometric analysis.},
  author = {Wan Z and Lin Z and Liu Y and Wang R and Yang R and Ai Y},
  year = {2026},
  journal = {Frontiers in aging neuroscience},
  doi = {10.3389/fnagi.2026.1880346},
  url = {https://doi.org/10.3389/fnagi.2026.1880346}
}

RIS

TY  - JOUR
TI  - The application of traditional machine learning and deep learning with EEG for mild cognitive impairment: a bibliometric analysis.
AU  - Wan Z
AU  - Lin Z
AU  - Liu Y
AU  - Wang R
AU  - Yang R
AU  - Ai Y
PY  - 2026
JO  - Frontiers in aging neuroscience
DO  - 10.3389/fnagi.2026.1880346
UR  - https://doi.org/10.3389/fnagi.2026.1880346
ER  -

APA

Z, W., Z, L., Y, L., R, W., R, Y., & Y, A. (2026). The application of traditional machine learning and deep learning with EEG for mild cognitive impairment: a bibliometric analysis.. Frontiers in aging neuroscience. https://doi.org/10.3389/fnagi.2026.1880346

Source records

pubmed · retrieved 2026-09-26T04:19:03.068Z
europe-pmc · retrieved 2026-09-26T04:19:03.085Z
doaj · retrieved 2026-09-26T04:19:03.059Z