hojjatk/mnist-dataset: papers linking to it

Kaggle · www.kaggle.com/datasets/hojjatk/mnist-dataset

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to hojjatk/mnist-dataset (https://www.kaggle.com/datasets/hojjatk/mnist-dataset), 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#

4 papers in the tracked journals link to the Kaggle dataset hojjatk/mnist-dataset in their Crossref records, the first in 2024; most of them (2) in 2026.
By category: Operations Research (2) and AI (2); the journals with the most are Computational Optimization and Applications (1), Journal of Heuristics (1) and Neural Computing and Applications (1).

By year#

20242026

Papers linking to hojjatk/mnist-dataset by publication year
Year	Papers
2024	2
2026	2

Journals#

Journals whose papers link to hojjatk/mnist-dataset most
Journal	Papers
Computational Optimization and Applications	1
Journal of Heuristics	1
Neural Computing and Applications	1
Information Processing & Management	1

Papers linking to hojjatk/mnist-dataset, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-10-11	PRoT-FL: A privacy-preserving and robust Training Manager for Federated Learning	Information Processing & Management	Idoia Gamiz, Cristina Regueiro, Eduardo Jacob et al.	22	cites it
2024-05-31	A non-monotone trust-region method with noisy oracles and additional sampling	Computational Optimization and Applications	Nataša Krejić, Nataša Krklec Jerinkić, Ángeles Martínez et al.	5	cites it
2026-03-14	GAGS: parallelized genetic algorithm-based grid search for SVM + model optimization	Journal of Heuristics	J. D. Fernández, Vega J., S. Dormido-Canto	0	cites it
2026-05-01	Malware Clustering Using A Deep Generative Model	Neural Computing and Applications	Mohammad Ebrahimi, Razieh Rastgoo	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). hojjatk/mnist-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-hojjatk-mnist-dataset

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

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