---
title: "fedesoriano/stroke-prediction-dataset: papers citing it"
description: "5 papers in the tracked journals link to the Kaggle dataset fedesoriano/stroke-prediction-dataset in their Crossref records, the first in 2023; most of them (2) in 2025."
url: https://scholar4ai.com/code/kaggle-fedesoriano-stroke-prediction-dataset
markdown_url: https://scholar4ai.com/code/kaggle-fedesoriano-stroke-prediction-dataset.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "5 papers in the tracked journals link to the Kaggle dataset fedesoriano/stroke-prediction-dataset in their Crossref records, the first in 2023; 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)
---

# fedesoriano/stroke-prediction-dataset: papers linking to it

Research papers in the 480 tracked journals that link to fedesoriano/stroke-prediction-dataset (https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset), 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/fedesoriano/stroke-prediction-dataset

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

## Key findings

- 5 papers in the tracked journals link to the Kaggle dataset fedesoriano/stroke-prediction-dataset in their Crossref records, the first in 2023; most of them (2) in 2025.
- By category: AI (3) and Information Systems (2); the journals with the most are Information Systems Frontiers (1), Expert Systems with Applications (1) and Knowledge and Information Systems (1).

## By year

*Papers linking to fedesoriano/stroke-prediction-dataset by publication year*

| Year | Papers |
|---|---:|
| 2023 | 1 |
| 2024 | 2 |
| 2025 | 2 |

## Journals

*Journals whose papers link to fedesoriano/stroke-prediction-dataset most*

| Journal | Papers |
|---|---:|
| [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |
| [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |

## Papers

*Papers linking to fedesoriano/stroke-prediction-dataset, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-10-28 | [A modified reverse-based analysis logic mining model with Weighted Random 2 Satisfiability logic in Discrete Hopfield Neural Network and multi-objective training of Modified Niched Genetic Algorithm](https://doi.org/10.1016/j.eswa.2023.122307) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Nur Ezlin Zamri, Mohd. Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin et al. | 71 | cites it |
| 2025-02-13 | [Challenging the Performance-Interpretability Trade-Off: An Evaluation of Interpretable Machine Learning Models](https://doi.org/10.1007/s12599-024-00922-2) | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | Sven Kruschel, Nico Hambauer, Sven Weinzierl et al. | 52 | cites it |
| 2024-09-21 | [RETRACTED ARTICLE: A novel K-nearest neighbor classifier for lung cancer disease diagnosis](https://doi.org/10.1007/s00521-024-10235-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Ravi Kumar Sachdeva, Priyanka Bathla, Pooja Rani et al. | 17 | cites it |
| 2024-01-17 | [Tools for Healthcare Data Lake Infrastructure Benchmarking](https://doi.org/10.1007/s10796-023-10468-5) | [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | Tommaso Dolci, Lorenzo Amata, Carlo Manco et al. | 4 | cites it |
| 2025-05-12 | [Efficient healthcare data classification through gazelle-inspired optimization and multimodal deep learning](https://doi.org/10.1007/s10115-025-02424-3) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | J. Arockia Jaya, K. Mahalakshmi | 4 | 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). fedesoriano/stroke-prediction-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-fedesoriano-stroke-prediction-dataset

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