---
title: "mlco2/codecarbon: v2.4.1: papers citing this dataset"
description: "3 papers in the tracked journals link to the Zenodo dataset mlco2/codecarbon: v2.4.1 in their Crossref records, the first in 2025; most of them (2) in 2025."
url: https://scholar4ai.com/code/zenodo-11171501
markdown_url: https://scholar4ai.com/code/zenodo-11171501.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 Zenodo dataset mlco2/codecarbon: v2.4.1 in their Crossref records, the first in 2025; most of them (2) 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)
---

# mlco2/codecarbon: v2.4.1: papers linking to it

Research papers in the 480 tracked journals that link to mlco2/codecarbon: v2.4.1 (https://doi.org/10.5281/zenodo.11171501), 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.

- Zenodo
- Software
- 2024
- archives github.com/mlco2/codecarbon
- https://doi.org/10.5281/zenodo.11171501

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

## Key findings

- 3 papers in the tracked journals link to the Zenodo dataset mlco2/codecarbon: v2.4.1 in their Crossref records, the first in 2025; most of them (2) in 2025.
- By category: AI (3); the journals with the most are Machine Learning (2) and Expert Systems with Applications (1).
- It is a Zenodo archive of mlco2/codecarbon, which other papers here link to as well.

## By year

*Papers linking to mlco2/codecarbon: v2.4.1 by publication year*

| Year | Papers |
|---|---:|
| 2025 | 2 |
| 2026 | 1 |

## Journals

*Journals whose papers link to mlco2/codecarbon: v2.4.1 most*

| Journal | Papers |
|---|---:|
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |

## Related repositories

*Linked repositories mlco2/codecarbon: v2.4.1 derives from or that derive from it*

| Repository | Relation | Papers |
|---|---|---:|
| [mlco2/codecarbon](https://github.com/mlco2/codecarbon) | mlco2/codecarbon: v2.4.1 is its Zenodo archive | 1 |

## Papers

*Papers linking to mlco2/codecarbon: v2.4.1, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2025-11-11 | [An efficient model training framework for green AI](https://doi.org/10.1007/s10994-025-06907-w) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Francesco Scala, Sergio Flesca, Luigi Pontieri | 9 | cites it |
| 2025-07-29 | [A comparative study of word embedding techniques for classification of star ratings](https://doi.org/10.1016/j.eswa.2025.129037) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Hesham Abdelmotaleb, Craig Mcneile A, Małgorzata Wojtyś | 3 | cites it |
| 2026-06-24 | [Contrastive Learning for Explanation Ranking](https://doi.org/10.1007/s10994-026-07099-7) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Miguel Escarda-Fernández, Brais Cancela, Carlos Eiras‐Franco et al. | 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). mlco2/codecarbon: v2.4.1: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-11171501

```bibtex
@misc{scholar4ai-code-zenodo-11171501,
  author = {{Scholar4AI}},
  title = {mlco2/codecarbon: v2.4.1: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-11171501}},
  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/).