huggingface/transformers: papers linking to it

GitHub · 168,461 stars · 35,091 forks · Python · license Apache-2.0 · created 2018 · github.com/huggingface/transformers

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to huggingface/transformers (https://github.com/huggingface/transformers), 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 huggingface/transformers in their Crossref records, the first in 2022; most of them (2) in 2026.
By category: AI (3) and Information Systems (1); the journals with the most are Neural Computing and Applications (1), Information Systems Frontiers (1) and Pattern Recognition (1).

By year#

20222026

Papers linking to huggingface/transformers by publication year
Year	Papers
2022	1
2025	1
2026	2

Journals#

Journals whose papers link to huggingface/transformers most
Journal	Papers
Neural Computing and Applications	1
Information Systems Frontiers	1
Pattern Recognition	1
AI & Society	1

Papers linking to huggingface/transformers, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-02-21	Interpretable modular knowledge reasoning for machine reading comprehension	Neural Computing and Applications	Mucheng Ren, Heyan Huang, Yang Gao	8	cites it
2025-02-06	A novel 6DoF pose estimation method using transformer fusion	Pattern Recognition	Huafeng Wang, Haodu Zhang, Wanquan Liu et al.	5	cites it
2026-03-19	Systems programming the model	AI & Society	Tyler Shoemaker	1	cites it
2026-03-23	Toward a Knowledge Discovery Method to Fake Review Detection	Information Systems Frontiers	Jie Tao, Xing Fang, Lina Zhou	1	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). huggingface/transformers: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-huggingface-transformers

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

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