tiny-imagenet: papers linking to it

Kaggle · www.kaggle.com/competitions/tiny-imagenet

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to tiny-imagenet (https://www.kaggle.com/competitions/tiny-imagenet), 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 tiny-imagenet in their Crossref records, the first in 2024; most of them (2) in 2026.
By category: AI (4); the journals with the most are International Journal of Computer Vision (2), Neural Computing and Applications (1) and Machine Learning (1).

By year#

20242026

Papers linking to tiny-imagenet by publication year
Year	Papers
2024	2
2026	2

Journals#

Journals whose papers link to tiny-imagenet most
Journal	Papers
International Journal of Computer Vision	2
Neural Computing and Applications	1
Machine Learning	1

Papers linking to tiny-imagenet, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-06-04	Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation	International Journal of Computer Vision	Xingzhe Su, Wenwen Qiang, Jie Hu et al.	8	cites it
2024-12-28	Decoding BatchNorm statistics via anchors pool for data-free models based on continual learning	Neural Computing and Applications	Xiaobin Li, Weiqiang Wang, Guangluan Xu	2	cites it
2026-01-01	Evidence Conflict Sampling for Open-set Active Learning	International Journal of Computer Vision	Kun-Peng Ning, Huai-Jhan Ke, Jiayu Yao et al.	1	cites it
2026-09-01	A Hypernetwork Framework for Data-Free Unlearning and Continual Learning	Machine Learning	Sayanta Adhikari, Vishnuprasadh Kumaravelu, P. K. Srijith	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). tiny-imagenet: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-tiny-imagenet

@misc{scholar4ai-code-kaggle-competition-tiny-imagenet,
  author = {{Scholar4AI}},
  title = {tiny-imagenet: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-competition-tiny-imagenet}},
  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).