---
title: "scikit-learn/scikit-learn: papers citing it"
description: "3 papers in the tracked journals link to the GitHub repository scikit-learn/scikit-learn in their Crossref records, the first in 2018; most of them (1) in 2025."
url: https://scholar4ai.com/code/github-scikit-learn-scikit-learn
markdown_url: https://scholar4ai.com/code/github-scikit-learn-scikit-learn.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the GitHub repository scikit-learn/scikit-learn in their Crossref records, the first in 2018; most of them (1) in 2025. (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)
---

# scikit-learn/scikit-learn: papers linking to it

Research papers in the 480 tracked journals that link to scikit-learn/scikit-learn (https://github.com/scikit-learn/scikit-learn), 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
- 67,986 stars
- 27,630 forks
- Python
- license BSD-3-Clause
- created 2010
- https://github.com/scikit-learn/scikit-learn

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

## Key findings

- 3 papers in the tracked journals link to the GitHub repository scikit-learn/scikit-learn in their Crossref records, the first in 2018; most of them (1) in 2025.
- By category: Operations Research (2) and AI (1); the journals with the most are Transportation Research Part C Emerging Technologies (1), Operations Research Forum (1) and Knowledge-Based Systems (1).

## By year

*Papers linking to scikit-learn/scikit-learn by publication year*

| Year | Papers |
|---|---:|
| 2018 | 1 |
| 2020 | 1 |
| 2025 | 1 |

## Journals

*Journals whose papers link to scikit-learn/scikit-learn most*

| Journal | Papers |
|---|---:|
| [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 1 |
| [Operations Research Forum](https://scholar4ai.com/journals/operations-research-forum.md) | 1 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |

## Papers

*Papers linking to scikit-learn/scikit-learn, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-06-15 | [Real-time crash prediction on expressways using deep generative models](https://doi.org/10.1016/j.trc.2020.102697) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Qing Cai, Mohamed A. Abdel-Aty, Jinghui Yuan et al. | 205 | cites it |
| 2018-04-21 | [PySEF: A python library for similarity-based dimensionality reduction](https://doi.org/10.1016/j.knosys.2018.04.019) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Nikolaos Passalis, Anastasios Tefas | 5 | cites it |
| 2025-12-05 | [How Robust Are Different Versions of Graphical Model Selection Algorithms](https://doi.org/10.1007/s43069-025-00588-w) | [Operations Research Forum](https://scholar4ai.com/journals/operations-research-forum.md) | Kostylev Ilya, Kalyagin Valeriy | 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). scikit-learn/scikit-learn: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-scikit-learn-scikit-learn

```bibtex
@misc{scholar4ai-code-github-scikit-learn-scikit-learn,
  author = {{Scholar4AI}},
  title = {scikit-learn/scikit-learn: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-scikit-learn-scikit-learn}},
  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/).