meka: papers linking to it

SourceForge · sourceforge.net/projects/meka/

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to meka (https://sourceforge.net/projects/meka/), 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#

3 papers in the tracked journals link to the SourceForge repository meka in their Crossref records, the first in 2017; most of them (2) in 2017.
By category: AI (3); the journals with the most are Knowledge-Based Systems (1), Information Fusion (1) and Machine Learning (1).
2 of the papers build on one another: a later paper cites an earlier one that also links meka.

By year#

20172021

Papers linking to meka by publication year
Year	Papers
2017	2
2021	1

Journals#

Journals whose papers link to meka most
Journal	Papers
Knowledge-Based Systems	1
Information Fusion	1
Machine Learning	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

MLDA: A tool for analyzing multi-label datasets Knowledge-Based Systems, 2017
- Review of ensembles of multi-label classifiers: Models, experimental study and prospects Information Fusion, 2017 — cites the paper above

Papers linking to meka, most cited first
Published	Title	Journal	Authors	Citations	Link
2017-12-18	Review of ensembles of multi-label classifiers: Models, experimental study and prospects	Information Fusion	Jose M. Moyano, Eva Gibaja, Krzysztof J. Cios et al.	150	cites it
2017-01-14	MLDA: A tool for analyzing multi-label datasets	Knowledge-Based Systems	Jose M. Moyano, Eva Gibaja, Sebastián Ventura	28	cites it
2021-06-17	ReliefE: feature ranking in high-dimensional spaces via manifold embeddings	Machine Learning	Blaž Škrlj, Sašo Džeroski, Nada Lavrač A et al.	7	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). meka: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/sourceforge-meka

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

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