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

yuezunli/celeb-deepfakeforensics: papers linking to it

GitHub · 338 stars · 55 forks · created 2019 · github.com/yuezunli/celeb-deepfakeforensics

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to yuezunli/celeb-deepfakeforensics (https://github.com/yuezunli/celeb-deepfakeforensics), 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 GitHub repository yuezunli/celeb-deepfakeforensics in their Crossref records, the first in 2024; most of them (2) in 2024.
  • By category: AI (3); the journals with the most are Expert Systems with Applications (1), Applied Intelligence (1) and Journal Of Big Data (1).

By year#

2024: 2 papers2026: 1 paper
20242026
Papers linking to yuezunli/celeb-deepfakeforensics by publication year
YearPapers
20242
20261

Journals#

Journals whose papers link to yuezunli/celeb-deepfakeforensics most
JournalPapers
Expert Systems with Applications1
Applied Intelligence1
Journal Of Big Data1
Papers linking to yuezunli/celeb-deepfakeforensics, most cited first
PublishedTitleJournalAuthorsCitationsLink
2024-05-18Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligenceExpert Systems with ApplicationsFakhar Abbas, Araz Taeihagh116cites it
2024-02-01A novel approach for detecting deep fake videos using graph neural networkJournal Of Big DataM. M. El-Gayar, Mohamed Abouhawwash, Sameh Askar et al.60cites it
2026-09-01Light-wDEF: lightweight deepfake evaluation framework for efficient and reliable visual detectionApplied IntelligenceMuhammad Yousaf, Sarwar Shah Khan, Babar Shah et al.0cites 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). yuezunli/celeb-deepfakeforensics: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-yuezunli-celeb-deepfakeforensics

@misc{scholar4ai-code-github-yuezunli-celeb-deepfakeforensics,
  author = {{Scholar4AI}},
  title = {yuezunli/celeb-deepfakeforensics: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-yuezunli-celeb-deepfakeforensics}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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