ondyari/FaceForensics: papers linking to it

GitHub · 2,800 stars · 591 forks · Python · created 2018 · github.com/ondyari/FaceForensics

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ondyari/FaceForensics (https://github.com/ondyari/FaceForensics), 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.

Key findings#

3 papers in the tracked journals link to the GitHub repository ondyari/FaceForensics 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#

20242026

Papers linking to ondyari/FaceForensics by publication year
Year	Papers
2024	2
2026	1

Journals#

Journals whose papers link to ondyari/FaceForensics most
Journal	Papers
Expert Systems with Applications	1
Applied Intelligence	1
Journal Of Big Data	1

Papers linking to ondyari/FaceForensics, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-05-18	Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence	Expert Systems with Applications	Fakhar Abbas, Araz Taeihagh	116	cites it
2024-02-01	A novel approach for detecting deep fake videos using graph neural network	Journal Of Big Data	M. M. El-Gayar, Mohamed Abouhawwash, Sameh Askar et al.	60	cites it
2026-09-01	Light-wDEF: lightweight deepfake evaluation framework for efficient and reliable visual detection	Applied Intelligence	Muhammad Yousaf, Sarwar Shah Khan, Babar Shah et al.	0	cites 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). ondyari/FaceForensics: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-ondyari-faceforensics

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

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