---
title: "google/flax: papers citing this GitHub repository"
description: "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."
url: https://scholar4ai.com/code/github-google-flax
markdown_url: https://scholar4ai.com/code/github-google-flax.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# google/flax: papers linking to it

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.

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

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/mathematical-programming.md) | 2 |
| [Mathematical Programming Computation](https://scholar4ai.com/journals/mathematical-programming-computation.md) | 1 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 1 |
| [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 1 |

## Papers

*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](https://doi.org/10.1186/s40537-022-00590-7) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Wilson Wongso, Henry Lucky, Derwin Suhartono | 20 | cites it |
| 2024-06-04 | [Universal heavy-ball method for nonconvex optimization under Hölder continuous Hessians](https://doi.org/10.1007/s10107-024-02100-4) | [Mathematical Programming](https://scholar4ai.com/journals/mathematical-programming.md) | Naoki Marumo, Akiko Takeda | 3 | cites it |
| 2026-03-25 | [Machine learning global atomic representations with Euclidean fast attention](https://doi.org/10.1038/s42256-026-01195-y) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 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](https://doi.org/10.1007/s10107-024-02154-4) | [Mathematical Programming](https://scholar4ai.com/journals/mathematical-programming.md) | Naoki Marumo, Takayuki Okuno, Akiko Takeda | 2 | cites it |
| 2025-02-13 | [CDOpt: a Python package for a class of Riemannian optimization](https://doi.org/10.1007/s12532-025-00277-z) | [Mathematical Programming Computation](https://scholar4ai.com/journals/mathematical-programming-computation.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).