mulan: papers linking to it

SourceForge · sourceforge.net/projects/mulan/

← Code and data repositories cited in research papers

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.

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#

20182025

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	4
Applied Intelligence	3
Knowledge-Based Systems	2

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.

Attribute reduction for multi-label learning with fuzzy rough set Knowledge-Based Systems, 2018
- Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement Applied Intelligence, 2020 — cites the paper above
A label distribution manifold learning algorithm Pattern Recognition, 2022
- A Novel Label Enhancement Algorithm Based on Manifold Learning Pattern Recognition, 2022 — cites the paper above

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	Pattern Recognition	Adane Nega Tarekegn, Mario Giacobini, Krzysztof Michalak	432	cites it
2018-04-03	Attribute reduction for multi-label learning with fuzzy rough set	Knowledge-Based Systems	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2022-01-27	RETRACTED ARTICLE: Feature selection techniques in the context of big data: taxonomy and analysis	Applied Intelligence	Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji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	Knowledge-Based Systems	Zhang Yao, Yingcang Ma	66	cites it
2018-03-28	Learning with privileged information for multi-Label classification	Pattern Recognition	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	Applied Intelligence	Xuandong Long, Wenbin Qian, Yinglong Wang et al.	19	cites it
2022-10-19	A label distribution manifold learning algorithm	Pattern Recognition	Chao Tan, Sheng Chen, Xin Geng et al.	18	cites it
2022-11-20	A Novel Label Enhancement Algorithm Based on Manifold Learning	Pattern Recognition	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	Applied Intelligence	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

@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}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).