---
title: "meka: papers citing this SourceForge repository"
description: "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."
url: https://scholar4ai.com/code/sourceforge-meka
markdown_url: https://scholar4ai.com/code/sourceforge-meka.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 SourceForge repository meka in their Crossref records, the first in 2017; most of them (2) in 2017. (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)
---

# meka: papers linking to it

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.

- SourceForge
- https://sourceforge.net/projects/meka/

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

## 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

*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](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 1 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [MLDA: A tool for analyzing multi-label datasets](https://doi.org/10.1016/j.knosys.2017.01.018) (Knowledge-Based Systems, 2017)
  - [Review of ensembles of multi-label classifiers: Models, experimental study and prospects](https://doi.org/10.1016/j.inffus.2017.12.001) (Information Fusion, 2017) — cites the paper above

## Papers

*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](https://doi.org/10.1016/j.inffus.2017.12.001) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | Jose M. Moyano, Eva Gibaja, Krzysztof J. Cios et al. | 150 | cites it |
| 2017-01-14 | [MLDA: A tool for analyzing multi-label datasets](https://doi.org/10.1016/j.knosys.2017.01.018) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Jose M. Moyano, Eva Gibaja, Sebastián Ventura | 28 | cites it |
| 2021-06-17 | [ReliefE: feature ranking in high-dimensional spaces via manifold embeddings](https://doi.org/10.1007/s10994-021-05998-5) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 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

```bibtex
@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}
}
```

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