---
title: "mulan: papers citing this SourceForge repository"
description: "9 papers in the tracked journals link to the SourceForge repository mulan in their Crossref records, the first in 2018; most of them (3) in 2022."
url: https://scholar4ai.com/code/sourceforge-mulan
markdown_url: https://scholar4ai.com/code/sourceforge-mulan.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "9 papers in the tracked journals link to the SourceForge repository mulan in their Crossref records, the first in 2018; most of them (3) in 2022. (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)
---

# mulan: papers linking to it

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

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

## Key findings

- 9 papers in the tracked journals link to the SourceForge repository mulan in their Crossref records, the first in 2018; most of them (3) in 2022.
- By category: AI (9); the journals with the most are Pattern Recognition (4), Applied Intelligence (3) and Knowledge-Based Systems (2).
- 4 of the papers build on one another: a later paper cites an earlier one that also links mulan.

## By year

*Papers linking to mulan by publication year*

| Year | Papers |
|---|---:|
| 2018 | 2 |
| 2020 | 1 |
| 2021 | 2 |
| 2022 | 3 |
| 2025 | 1 |

## Journals

*Journals whose papers link to mulan most*

| Journal | Papers |
|---|---:|
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 4 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 3 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Attribute reduction for multi-label learning with fuzzy rough set](https://doi.org/10.1016/j.knosys.2018.04.004) (Knowledge-Based Systems, 2018)
  - [Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement](https://doi.org/10.1007/s10489-020-01993-w) (Applied Intelligence, 2020) — cites the paper above
- [A label distribution manifold learning algorithm](https://doi.org/10.1016/j.patcog.2022.109112) (Pattern Recognition, 2022)
  - [A Novel Label Enhancement Algorithm Based on Manifold Learning](https://doi.org/10.1016/j.patcog.2022.109189) (Pattern Recognition, 2022) — cites the paper above

## Papers

*Papers linking to mulan, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-05-06 | [A review of methods for imbalanced multi-label classification](https://doi.org/10.1016/j.patcog.2021.107965) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Adane Nega Tarekegn, Mario Giacobini, Krzysztof Michalak | 432 | cites it |
| 2018-04-03 | [Attribute reduction for multi-label learning with fuzzy rough set](https://doi.org/10.1016/j.knosys.2018.04.004) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Yaojin Lin, Yuwen Li, Chenxi Wang et al. | 147 | cites it |
| 2022-01-27 | [RETRACTED ARTICLE: Feature selection techniques in the context of big data: taxonomy and analysis](https://doi.org/10.1007/s10489-021-03118-3) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif | 73 | cites it |
| 2021-12-13 | [Non-negative multi-label feature selection with dynamic graph constraints](https://doi.org/10.1016/j.knosys.2021.107924) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Zhang Yao, Yingcang Ma | 66 | cites it |
| 2018-03-28 | [Learning with privileged information for multi-Label classification](https://doi.org/10.1016/j.patcog.2018.03.033) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Shangfei Wang, Shiyu Chen, Tanfang Chen et al. | 34 | cites it |
| 2020-10-30 | [Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement](https://doi.org/10.1007/s10489-020-01993-w) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Xuandong Long, Wenbin Qian, Yinglong Wang et al. | 19 | cites it |
| 2022-10-19 | [A label distribution manifold learning algorithm](https://doi.org/10.1016/j.patcog.2022.109112) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Chao Tan, Sheng Chen, Xin Geng et al. | 18 | cites it |
| 2022-11-20 | [A Novel Label Enhancement Algorithm Based on Manifold Learning](https://doi.org/10.1016/j.patcog.2022.109189) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Chao Tan, Sheng Chen, Xin Geng et al. | 8 | cites it |
| 2025-09-01 | [Cluster-infused low-rank subspace learning for robust multi-label classification](https://doi.org/10.1007/s10489-025-06837-z) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Ziyue Zhu, Conghua Zhou, Shijie Sun 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). mulan: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/sourceforge-mulan

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