pytorch/vision: papers linking to it

GitHub · 17,983 stars · 7,286 forks · Python · license BSD-3-Clause · created 2016 · github.com/pytorch/vision

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to pytorch/vision (https://github.com/pytorch/vision), 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 pytorch/vision in their Crossref records, the first in 2024; most of them (2) in 2025.
By category: AI (4); the journals with the most are Journal Of Big Data (1), Expert Systems with Applications (1) and Knowledge-Based Systems (1).

By year#

20242026

Papers linking to pytorch/vision by publication year
Year	Papers
2024	1
2025	2
2026	1

Journals#

Journals whose papers link to pytorch/vision most
Journal	Papers
Journal Of Big Data	1
Expert Systems with Applications	1
Knowledge-Based Systems	1
Neural Computing and Applications	1

Papers linking to pytorch/vision, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-02-16	MaxCerVixT: A novel lightweight vision transformer-based Approach for precise cervical cancer detection	Knowledge-Based Systems	İshak Paçal	147	cites it
2025-07-28	Attention-enhanced ConvNeXt for accurate, efficient, and interpretable crack detection	Expert Systems with Applications	Burhanettin Ozdemir, Fethi Şermet, İshak Paçal	11	cites it
2025-07-26	Studying riots through the lens of social media	Journal Of Big Data	Lucas Spierenburg, Sander van Cranenburgh, Oded Cats	1	cites it
2026-09-01	Graph-aware Byzantine-resilient aggregation for adaptive poisoning detection in federated learning	Neural Computing and Applications	Salam Fraihat, Yousef K. Sanjalawe, Qussai M. Yaseen 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). pytorch/vision: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-pytorch-vision

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

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