uciml/pima-indians-diabetes-database: papers linking to it

Kaggle · www.kaggle.com/datasets/uciml/pima-indians-diabetes-database

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to uciml/pima-indians-diabetes-database (https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database), 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#

8 papers in the tracked journals link to the Kaggle dataset uciml/pima-indians-diabetes-database in their Crossref records, the first in 2020; most of them (3) in 2023.
By category: AI (7) and Information Systems (1); the journals with the most are Expert Systems with Applications (2), Knowledge-Based Systems (2) and Neural Computing and Applications (2).

By year#

20202025

Papers linking to uciml/pima-indians-diabetes-database by publication year
Year	Papers
2020	1
2021	2
2022	1
2023	3
2025	1

Journals#

Journals whose papers link to uciml/pima-indians-diabetes-database most
Journal	Papers
Expert Systems with Applications	2
Knowledge-Based Systems	2
Neural Computing and Applications	2
Information Systems Frontiers	1
Journal Of Big Data	1

Papers linking to uciml/pima-indians-diabetes-database, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-09-06	RETRACTED ARTICLE: Deep convolutional neural network for diabetes mellitus prediction	Neural Computing and Applications	Suja A. Alex, J. Jesu Vedha Nayahi, Harold D. Shine et al.	81	cites it
2023-01-12	Early identification of PCOS with commonly known diseases: Obesity, diabetes, high blood pressure and heart disease using machine learning techniques	Expert Systems with Applications	Shivani Aggarwal, Kavita Pandey	72	cites it
2023-05-19	EHR privacy preservation using federated learning with DQRE-Scnet for healthcare application domains	Knowledge-Based Systems	C. U. Om Kumar, Sudhakaran Gajendran, R.M. Bhavadharini et al.	34	cites it
2020-07-21	Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions	Information Systems Frontiers	Narges Manouchehri, Hieu Trung Nguyen, Pantea Koochemeshkian et al.	13	cites it
2025-05-10	Enhancing quantum support vector machine for healthcare applications using custom feature maps	Knowledge-Based Systems	Riya Bansal, Nikhil Kumar Rajput, Megha Khanna	12	cites it
2021-04-27	Learnability and robustness of shallow neural networks learned by a performance-driven BP and a variant of PSO for edge decision-making	Neural Computing and Applications	Hongmei He, Mengyuan Chen, Gang Xu et al.	9	cites it
2022-04-25	Improve data classification performance in diagnosing diabetes using the Binary Exchange Market Algorithm	Journal Of Big Data	Faranak Rezaei, Maryam Abbasitabar, Shirin Mirzaei et al.	6	cites it
2023-06-02	Deep self-organizing cube: A novel multi-dimensional classifier for multiple output learning	Expert Systems with Applications	Ahmed Abdelfattah Saleh, Li Weigang	6	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). uciml/pima-indians-diabetes-database: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-uciml-pima-indians-diabetes-database

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

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