google/flax: papers linking to it

GitHub · 7,365 stars · 849 forks · Jupyter Notebook · license Apache-2.0 · created 2020 · github.com/google/flax

← Code and data repositories cited in research papers

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

5 papers in the tracked journals link to the GitHub repository google/flax in their Crossref records, the first in 2022; most of them (2) in 2024.
By category: Operations Research (3) and AI (2); the journals with the most are Mathematical Programming (2), Mathematical Programming Computation (1) and Journal Of Big Data (1).

By year#

20222026

Papers linking to google/flax by publication year
Year	Papers
2022	1
2024	2
2025	1
2026	1

Journals#

Journals whose papers link to google/flax most
Journal	Papers
Mathematical Programming	2
Mathematical Programming Computation	1
Journal Of Big Data	1
Nature Machine Intelligence	1

Papers linking to google/flax, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-04-13	Pre-trained transformer-based language models for Sundanese	Journal Of Big Data	Wilson Wongso, Henry Lucky, Derwin Suhartono	20	cites it
2024-06-04	Universal heavy-ball method for nonconvex optimization under Hölder continuous Hessians	Mathematical Programming	Naoki Marumo, Akiko Takeda	3	cites it
2026-03-25	Machine learning global atomic representations with Euclidean fast attention	Nature Machine Intelligence	J. Thorben Frank, Stefan Chmiela, Klaus-Robert Müller et al.	3	cites it
2024-11-04	Accelerated-gradient-based generalized Levenberg–Marquardt method with oracle complexity bound and local quadratic convergence	Mathematical Programming	Naoki Marumo, Takayuki Okuno, Akiko Takeda	2	cites it
2025-02-13	CDOpt: a Python package for a class of Riemannian optimization	Mathematical Programming Computation	Nachuan Xiao, Xiaoyin Hu, Xin Liu et al.	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). google/flax: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-google-flax

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

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