---
title: "gunavenkatdoddi/eye-diseases-classification"
description: "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."
url: https://scholar4ai.com/code/kaggle-gunavenkatdoddi-eye-diseases-classification
markdown_url: https://scholar4ai.com/code/kaggle-gunavenkatdoddi-eye-diseases-classification.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 gunavenkatdoddi/eye-diseases-classification in their Crossref records, the first in 2024; most of them (2) in 2026. (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)
---

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

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.

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

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

## 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

*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](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 3 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |

## Papers

*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](https://doi.org/10.1007/s00521-024-09851-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1007/s00521-026-12075-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1016/j.knosys.2025.114937) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 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](https://doi.org/10.1007/s00521-026-12251-4) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).