---
title: "weka: papers citing this SourceForge repository"
description: "3 papers in the tracked journals link to the SourceForge repository weka in their Crossref records, the first in 2017; most of them (2) in 2019."
url: https://scholar4ai.com/code/sourceforge-weka
markdown_url: https://scholar4ai.com/code/sourceforge-weka.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 weka in their Crossref records, the first in 2017; most of them (2) in 2019. (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)
---

# weka: papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to the SourceForge repository weka in their Crossref records, the first in 2017; most of them (2) in 2019.
- By category: AI (2) and Information Systems (1); the journals with the most are Decision Support Systems (1), Expert Systems with Applications (1) and Knowledge-Based Systems (1).

## By year

*Papers linking to weka by publication year*

| Year | Papers |
|---|---:|
| 2017 | 1 |
| 2019 | 2 |

## Journals

*Journals whose papers link to weka most*

| Journal | Papers |
|---|---:|
| [Decision Support Systems](https://scholar4ai.com/journals/decision-support-systems.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |

## Papers

*Papers linking to weka, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-05-13 | [Early prediction of the future popularity of uploaded videos](https://doi.org/10.1016/j.eswa.2019.05.015) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Yen‐Liang Chen, Chia-Ling Chang | 30 | cites it |
| 2019-09-07 | [A dynamic classification unit for online segmentation of big data via small data buffers](https://doi.org/10.1016/j.dss.2019.113157) | [Decision Support Systems](https://scholar4ai.com/journals/decision-support-systems.md) | Anna Khalemsky, Roy M. Gelbard | 17 | cites it |
| 2017-06-16 | [Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization](https://doi.org/10.1016/j.knosys.2017.06.016) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Rafael Geraldeli Rossi, Alneu de Andrade Lopes, Solange Oliveira Rezende | 8 | 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). weka: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/sourceforge-weka

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