zalandoresearch/fashion-mnist: papers linking to it

GitHub · 12,878 stars · 3,070 forks · Python · license MIT · created 2017 · github.com/zalandoresearch/fashion-mnist

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to zalandoresearch/fashion-mnist (https://github.com/zalandoresearch/fashion-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#

5 papers in the tracked journals link to the GitHub repository zalandoresearch/fashion-mnist in their Crossref records, the first in 2018; most of them (1) in 2026.
By category: AI (4) and Statistics (1); the journals with the most are Neural Computing and Applications (2), Computational Statistics (1) and Expert Systems with Applications (1).

By year#

20182026

Papers linking to zalandoresearch/fashion-mnist by publication year
Year	Papers
2018	1
2022	1
2023	1
2025	1
2026	1

Journals#

Journals whose papers link to zalandoresearch/fashion-mnist most
Journal	Papers
Neural Computing and Applications	2
Computational Statistics	1
Expert Systems with Applications	1
Applied Intelligence	1

Papers linking to zalandoresearch/fashion-mnist, most cited first
Published	Title	Journal	Authors	Citations	Link
2018-09-14	Hierarchical convolutional neural networks for fashion image classification	Expert Systems with Applications	Yian Seo, Kyung-Shik Shin	207	cites it
2022-11-24	A new perspective for understanding generalization gap of deep neural networks trained with large batch sizes	Applied Intelligence	Oyebade Kayode Oyedotun, Konstantinos Papadopoulos, Djamila Aouada	23	cites it
2023-04-19	Spike time displacement-based error backpropagation in convolutional spiking neural networks	Neural Computing and Applications	Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh et al.	18	cites it
2025-02-27	Modeling of long-term survival data with unobserved dispersion via neural network	Computational Statistics	Led Red Teh, Vicente G. Cancho, Josemar Rodrigues	1	cites it
2026-09-01	Graph-aware Byzantine-resilient aggregation for adaptive poisoning detection in federated learning	Neural Computing and Applications	Salam Fraihat, Yousef K. Sanjalawe, Qussai M. Yaseen 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). zalandoresearch/fashion-mnist: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-zalandoresearch-fashion-mnist

@misc{scholar4ai-code-github-zalandoresearch-fashion-mnist,
  author = {{Scholar4AI}},
  title = {zalandoresearch/fashion-mnist: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-zalandoresearch-fashion-mnist}},
  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).