Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

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

Zenodo · Software · 2024 · archives github.com/mlco2/codecarbon · doi.org/10.5281/zenodo.11171501

← Code and data repositories cited in research papers

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.

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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#

2025: 2 papers2026: 1 paper
20252026
Papers linking to mlco2/codecarbon: v2.4.1 by publication year
YearPapers
20252
20261

Journals#

Journals whose papers link to mlco2/codecarbon: v2.4.1 most
JournalPapers
Machine Learning2
Expert Systems with Applications1
Linked repositories mlco2/codecarbon: v2.4.1 derives from or that derive from it
RepositoryRelationPapers
mlco2/codecarbonmlco2/codecarbon: v2.4.1 is its Zenodo archive1
Papers linking to mlco2/codecarbon: v2.4.1, most cited first
PublishedTitleJournalAuthorsCitationsLink
2025-11-11An efficient model training framework for green AIMachine LearningFrancesco Scala, Sergio Flesca, Luigi Pontieri9cites it
2025-07-29A comparative study of word embedding techniques for classification of star ratingsExpert Systems with ApplicationsHesham Abdelmotaleb, Craig Mcneile A, Małgorzata Wojtyś3cites it
2026-06-24Contrastive Learning for Explanation RankingMachine LearningMiguel Escarda-Fernández, Brais Cancela, Carlos Eiras‐Franco et al.0cites 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

@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}
}

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