gunavenkatdoddi/eye-diseases-classification: papers linking to it

Kaggle · www.kaggle.com/datasets/gunavenkatdoddi/eye-diseases-classification

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to gunavenkatdoddi/eye-diseases-classification (https://www.kaggle.com/datasets/gunavenkatdoddi/eye-diseases-classification), 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#

4 papers in the tracked journals link to the Kaggle dataset gunavenkatdoddi/eye-diseases-classification in their Crossref records, the first in 2024; most of them (2) in 2026.
By category: AI (4); the journals with the most are Neural Computing and Applications (3) and Knowledge-Based Systems (1).

By year#

20242026

Papers linking to gunavenkatdoddi/eye-diseases-classification by publication year
Year	Papers
2024	1
2025	1
2026	2

Journals#

Journals whose papers link to gunavenkatdoddi/eye-diseases-classification most
Journal	Papers
Neural Computing and Applications	3
Knowledge-Based Systems	1

Papers linking to gunavenkatdoddi/eye-diseases-classification, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-05-06	Pathologic myopia diagnosis and localization from retinal fundus images using custom CNN	Neural Computing and Applications	Pammi Kumari, Priyank Saxena	6	cites it
2026-04-01	A novel explainable AI framework for multi-disease ocular classification and diabetic retinopathy severity grading	Neural Computing and Applications	Khawlah Altayeb, Sam Ansari, Talal Bonny et al.	3	cites it
2025-11-21	Adversarial example detection and defense based on the evidence consistency from Dempster-Shafer layers	Knowledge-Based Systems	Yue Xu, Yibo Qiu, Ling Huang et al.	0	cites it
2026-06-23	Towards enhanced ophthalmic care: integrating ameliorated ResNet50 and XceptionNet deep features utilizing fundus images	Neural Computing and Applications	Aya Mostafa, Marwa S. Elpeltagy, Mohamed A. Abdelhamed et al.	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). gunavenkatdoddi/eye-diseases-classification: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-gunavenkatdoddi-eye-diseases-classification

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

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