---
title: "paultimothymooney/kermany2018: papers citing this dataset"
description: "4 papers in the tracked journals link to the Kaggle dataset paultimothymooney/kermany2018 in their Crossref records, the first in 2021; most of them (2) in 2025."
url: https://scholar4ai.com/code/kaggle-paultimothymooney-kermany2018
markdown_url: https://scholar4ai.com/code/kaggle-paultimothymooney-kermany2018.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 paultimothymooney/kermany2018 in their Crossref records, the first in 2021; most of them (2) in 2025. (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)
---

# paultimothymooney/kermany2018: papers linking to it

Research papers in the 480 tracked journals that link to paultimothymooney/kermany2018 (https://www.kaggle.com/datasets/paultimothymooney/kermany2018), 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/datasets/paultimothymooney/kermany2018

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

## Key findings

- 4 papers in the tracked journals link to the Kaggle dataset paultimothymooney/kermany2018 in their Crossref records, the first in 2021; most of them (2) in 2025.
- By category: AI (4); the journals with the most are Expert Systems with Applications (1), Nature Machine Intelligence (1) and Knowledge-Based Systems (1).

## By year

*Papers linking to paultimothymooney/kermany2018 by publication year*

| Year | Papers |
|---|---:|
| 2021 | 1 |
| 2024 | 1 |
| 2025 | 2 |

## Journals

*Journals whose papers link to paultimothymooney/kermany2018 most*

| Journal | Papers |
|---|---:|
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 1 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |

## Papers

*Papers linking to paultimothymooney/kermany2018, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-03-01 | [Code-free deep learning for multi-modality medical image classification](https://doi.org/10.1038/s42256-021-00305-2) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Edward Korot, Zeyu Guan, Daniel Ferraz et al. | 171 | cites it |
| 2024-02-23 | [Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images](https://doi.org/10.1007/s00521-024-09564-7) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | G. R. Hemalakshmi, M. Murugappan, Mohamed Yacin Sikkandar et al. | 46 | cites it |
| 2025-11-08 | [Signal-aware synthesis of tissue polarization uniformity from OCT images guided by an SNR-based heuristic](https://doi.org/10.1016/j.eswa.2025.130317) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Yuheng Wang, Chris Zhou, Jiayue Cai et al. | 2 | cites it |
| 2025-09-23 | [Truncated MobileNetV2 Sparse Vision Graph Attention Model for Explainable Monkeypox Disease Classification](https://doi.org/10.1016/j.knosys.2025.114503) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Mehdhar S. A. M. Al-Gaashani, Abduljabbar S. Ba Mahel, Ammar Muthanna | 1 | 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). paultimothymooney/kermany2018: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-paultimothymooney-kermany2018

```bibtex
@misc{scholar4ai-code-kaggle-paultimothymooney-kermany2018,
  author = {{Scholar4AI}},
  title = {paultimothymooney/kermany2018: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-paultimothymooney-kermany2018}},
  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/).