---
title: "dogs-vs-cats: papers citing this dataset"
description: "4 papers in the tracked journals link to the Kaggle dataset dogs-vs-cats in their Crossref records, the first in 2020; most of them (2) in 2020."
url: https://scholar4ai.com/code/kaggle-competition-dogs-vs-cats
markdown_url: https://scholar4ai.com/code/kaggle-competition-dogs-vs-cats.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the Kaggle dataset dogs-vs-cats in their Crossref records, the first in 2020; most of them (2) in 2020. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# dogs-vs-cats: papers linking to it

Research papers in the 480 tracked journals that link to dogs-vs-cats (https://www.kaggle.com/competitions/dogs-vs-cats), 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.

- Kaggle
- https://www.kaggle.com/competitions/dogs-vs-cats

All repositories: https://scholar4ai.com/code.md

## Key findings

- 4 papers in the tracked journals link to the Kaggle dataset dogs-vs-cats in their Crossref records, the first in 2020; most of them (2) in 2020.
- By category: AI (4); the journals with the most are Journal Of Big Data (1), Applied Intelligence (1) and Neural Computing and Applications (1).

## By year

*Papers linking to dogs-vs-cats by publication year*

| Year | Papers |
|---|---:|
| 2020 | 2 |
| 2021 | 1 |
| 2025 | 1 |

## Journals

*Journals whose papers link to dogs-vs-cats most*

| Journal | Papers |
|---|---:|
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 1 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 |

## Papers

*Papers linking to dogs-vs-cats, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-07-02 | [Domain randomization for neural network classification](https://doi.org/10.1186/s40537-021-00455-5) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Svetozar Zarko Valtchev, Jianhong Wu | 29 | cites it |
| 2020-07-08 | [WisdomNet: trustable machine learning toward error-free classification](https://doi.org/10.1007/s00521-020-05147-4) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Truong X. Tran, Ramazan Savas Aygün | 17 | cites it |
| 2020-10-30 | [Detecting unusual input to neural networks](https://doi.org/10.1007/s10489-020-01925-8) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Jörg Martin, Clemens Elster | 6 | cites it |
| 2025-07-15 | [Capsule networks do not need to model everything](https://doi.org/10.1016/j.patcog.2025.112119) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto | 3 | 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). dogs-vs-cats: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-dogs-vs-cats

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

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).