datamunge/sign-language-mnist: papers linking to it

Kaggle · www.kaggle.com/datasets/datamunge/sign-language-mnist

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to datamunge/sign-language-mnist (https://www.kaggle.com/datasets/datamunge/sign-language-mnist), 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 Kaggle dataset datamunge/sign-language-mnist in their Crossref records, the first in 2024; most of them (1) in 2026.
By category: AI (3); the journals with the most are Neural Computing and Applications (2) and Expert Systems with Applications (1).

By year#

20242026

Papers linking to datamunge/sign-language-mnist by publication year
Year	Papers
2024	1
2025	1
2026	1

Journals#

Journals whose papers link to datamunge/sign-language-mnist most
Journal	Papers
Neural Computing and Applications	2
Expert Systems with Applications	1

Papers linking to datamunge/sign-language-mnist, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-01-06	Mixture-of-experts-based broad learning system and its applications	Expert Systems with Applications	Jing Wang, Luyu Nie, Junwei Duan et al.	16	cites it
2024-12-07	A real-time platform for Spanish Sign Language interpretation	Neural Computing and Applications	Francisco Morillas-Espejo, Ester Martínez-Martín	5	cites it
2026-06-01	Enhanced american sign language recognition using weighted ensemble of custom CNN models	Neural Computing and Applications	Shivani Singh, Shanti Chandra, Divyanshu Awasthi	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). datamunge/sign-language-mnist: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-datamunge-sign-language-mnist

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

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