ageitgey/face_recognition: papers linking to it

GitHub · 56,864 stars · 13,665 forks · Python · license MIT · created 2017 · github.com/ageitgey/face_recognition

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ageitgey/face_recognition (https://github.com/ageitgey/face_recognition), 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#

4 papers in the tracked journals link to the GitHub repository ageitgey/face_recognition in their Crossref records, the first in 2019; most of them (2) in 2022.
By category: Information Systems (2) and AI (2); the journals with the most are Electronic Markets (1), Information Processing & Management (1) and Electronic Commerce Research and Applications (1).

By year#

20192023

Papers linking to ageitgey/face_recognition by publication year
Year	Papers
2019	1
2022	2
2023	1

Journals#

Journals whose papers link to ageitgey/face_recognition most
Journal	Papers
Electronic Markets	1
Information Processing & Management	1
Electronic Commerce Research and Applications	1
Pattern Recognition	1

Papers linking to ageitgey/face_recognition, most cited first
Published	Title	Journal	Authors	Citations	Link
2019-12-13	The evolution of political memes: Detecting and characterizing internet memes with multi-modal deep learning	Information Processing & Management	David M. Beskow, Sumeet Kumar, Kathleen M. Carley	125	cites it
2022-07-14	Microexpressions in digital humans: perceived affect, sincerity, and trustworthiness	Electronic Markets	Aliya Tastemirova, Johannes Schneider, Leona Chandra Kruse et al.	29	cites it
2023-11-30	Confusable facial expression recognition with geometry-aware conditional network	Pattern Recognition	Tong Liu, Jing Li, Jia Xin Wu et al.	18	cites it
2022-07-01	Do facial images matter? Understanding the role of private information disclosure in crowdfunding markets	Electronic Commerce Research and Applications	Zhiyuan Qi, Dongyu Chen, Jennifer Xu	14	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). ageitgey/face_recognition: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-ageitgey-face-recognition

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

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