facebookresearch/fairseq: papers linking to it

GitHub · 32,210 stars · 6,666 forks · Python · license MIT · created 2017 · archived · github.com/facebookresearch/fairseq

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to facebookresearch/fairseq (https://github.com/facebookresearch/fairseq), 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 facebookresearch/fairseq in their Crossref records, the first in 2023; most of them (2) in 2023.
By category: AI (2) and Management (1); the journals with the most are Journal of Innovation and Entrepreneurship (1), Nature Machine Intelligence (1) and Journal Of Big Data (1).

By year#

20232025

Papers linking to facebookresearch/fairseq by publication year
Year	Papers
2023	2
2025	1

Journals#

Journals whose papers link to facebookresearch/fairseq most
Journal	Papers
Journal of Innovation and Entrepreneurship	1
Nature Machine Intelligence	1
Journal Of Big Data	1

Papers linking to facebookresearch/fairseq, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-10-05	Decoding speech perception from non-invasive brain recordings	Nature Machine Intelligence	Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin et al.	218	cites it
2025-02-23	A reasoning based explainable multimodal fake news detection for low resource language using large language models and transformers	Journal Of Big Data	Hariharan RamakrishnaIyer LekshmiAmmal, M. Anand Kumar	32	cites it
2023-09-14	Implementing AIRM: a new AI recruiting model for the Saudi Arabia labour market	Journal of Innovation and Entrepreneurship	Monirah Ali Aleisa, Natalia Beloff, Martin White	17	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). facebookresearch/fairseq: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-facebookresearch-fairseq

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

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