Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

MDD Patients and Healthy Controls EEG Data (New): papers linking to it

figshare · Dataset · 2016 · doi.org/10.6084/m9.figshare.4244171

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to MDD Patients and Healthy Controls EEG Data (New) (https://doi.org/10.6084/m9.figshare.4244171), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

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Key findings#

  • 3 papers in the tracked journals link to the figshare dataset MDD Patients and Healthy Controls EEG Data (New) in their Crossref records, the first in 2021; most of them (1) in 2026.
  • By category: AI (3); the journals with the most are Applied Intelligence (2) and Knowledge-Based Systems (1).

By year#

2021: 1 paper2022: 1 paper2026: 1 paper
20212026
Papers linking to MDD Patients and Healthy Controls EEG Data (New) by publication year
YearPapers
20211
20221
20261

Journals#

Journals whose papers link to MDD Patients and Healthy Controls EEG Data (New) most
JournalPapers
Applied Intelligence2
Knowledge-Based Systems1
Papers linking to MDD Patients and Healthy Controls EEG Data (New), most cited first
PublishedTitleJournalAuthorsCitationsLink
2021-04-28Automated major depressive disorder detection using melamine pattern with EEG signalsApplied IntelligenceEmrah Aydemir, Türker Tuncer, Şengül Doğan et al.62cites it
2022-09-30Benchmarks for machine learning in depression discrimination using electroencephalography signalsApplied IntelligenceAyan Seal, Rishabh Bajpai, Mohan Karnati et al.46cites it
2026-01-14CWT-based transfer learning model with optimal channel selection for the detection of MDD using EEG signalsKnowledge-Based SystemsRudro Mohanto, Md Shamim-Al-Mamun, Farhana Binte Sufi et al.2cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). MDD Patients and Healthy Controls EEG Data (New): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/figshare-4244171

@misc{scholar4ai-code-figshare-4244171,
  author = {{Scholar4AI}},
  title = {MDD Patients and Healthy Controls EEG Data (New): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/figshare-4244171}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).