mathchi/diabetes-data-set: papers linking to it

Kaggle · www.kaggle.com/datasets/mathchi/diabetes-data-set

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to mathchi/diabetes-data-set (https://www.kaggle.com/datasets/mathchi/diabetes-data-set), 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#

3 papers in the tracked journals link to the Kaggle dataset mathchi/diabetes-data-set in their Crossref records, the first in 2025; most of them (2) in 2025.
By category: AI (3); the journals with the most are Knowledge-Based Systems (1), Neural Computing and Applications (1) and Pattern Recognition Letters (1).

By year#

20252026

Papers linking to mathchi/diabetes-data-set by publication year
Year	Papers
2025	2
2026	1

Journals#

Journals whose papers link to mathchi/diabetes-data-set most
Journal	Papers
Knowledge-Based Systems	1
Neural Computing and Applications	1
Pattern Recognition Letters	1

Papers linking to mathchi/diabetes-data-set, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-06-24	Data classification based on improved cooperative genetic algorithm-extreme learning machine	Neural Computing and Applications	Musatafa Abbas Abbood Albadr, Fahad Taha AL‐Dhief, Raad Z. Homod	3	cites it
2025-09-07	Development of an enhanced heart attack diagnosis model using knowledge distillation and frequent sequence pattern mining	Knowledge-Based Systems	Dinesh Kumar Bhawnani, Sunita Soni, Arpana Rawal	1	cites it
2026-10-15	Statistical pattern-constrained generative adversarial network via maximum entropy estimation with piecewise frequency constraints	Pattern Recognition Letters	Yifei Liu, Jie Wang, Peng Yan	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). mathchi/diabetes-data-set: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-mathchi-diabetes-data-set

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

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