alessiocorrado99/animals10: papers linking to it

Kaggle · www.kaggle.com/datasets/alessiocorrado99/animals10

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to alessiocorrado99/animals10 (https://www.kaggle.com/datasets/alessiocorrado99/animals10), 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 Kaggle dataset alessiocorrado99/animals10 in their Crossref records, the first in 2022; most of them (3) in 2023.
By category: AI (5); the journals with the most are Artificial Intelligence Review (1), Information Fusion (1) and Expert Systems with Applications (1).

By year#

20222026

Papers linking to alessiocorrado99/animals10 by publication year
Year	Papers
2022	1
2023	3
2026	1

Journals#

Journals whose papers link to alessiocorrado99/animals10 most
Journal	Papers
Artificial Intelligence Review	1
Information Fusion	1
Expert Systems with Applications	1
Applied Intelligence	1
Pattern Recognition	1

Papers linking to alessiocorrado99/animals10, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-06-19	WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement	Pattern Recognition	Qiong Liu, Qi Zhang, Wei Liu et al.	66	cites it
2023-06-20	Integrated animal monitoring system with animal detection and classification capabilities: a review on image modality, techniques, applications, and challenges	Artificial Intelligence Review	N. Sundaram, Divya Meena Sundaram	23	cites it
2023-06-01	Hybrid image analysis model for hashtag recommendation through the use of deep learning methods	Expert Systems with Applications	Dawid Połap	16	cites it
2022-04-18	Defense against adversarial examples based on wavelet domain analysis	Applied Intelligence	Armaghan Sarvar, Maryam Amirmazlaghani	11	cites it
2026-06-25	Basic belief assignment determination based on contrastive learning for pattern classification	Information Fusion	Wei Li, Deqiang Han, Jean Dezert et al.	2	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). alessiocorrado99/animals10: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-alessiocorrado99-animals10

@misc{scholar4ai-code-kaggle-alessiocorrado99-animals10,
  author = {{Scholar4AI}},
  title = {alessiocorrado99/animals10: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-alessiocorrado99-animals10}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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