diabetic-retinopathy-detection: papers linking to it

Kaggle · www.kaggle.com/competitions/diabetic-retinopathy-detection

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to diabetic-retinopathy-detection (https://www.kaggle.com/competitions/diabetic-retinopathy-detection), 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#

19 papers in the tracked journals link to the Kaggle dataset diabetic-retinopathy-detection in their Crossref records, the first in 2019; most of them (6) in 2025.
By category: AI (18) and Statistics (1); the journals with the most are Knowledge-Based Systems (4), Pattern Recognition (4) and Artificial Intelligence Review (2).
4 of the papers build on one another: a later paper cites an earlier one that also links diabetic-retinopathy-detection.

By year#

20192026

Papers linking to diabetic-retinopathy-detection by publication year
Year	Papers
2019	1
2020	2
2021	1
2022	2
2023	5
2024	1
2025	6
2026	1

Journals#

Journals whose papers link to diabetic-retinopathy-detection most
Journal	Papers
Knowledge-Based Systems	4
Pattern Recognition	4
Artificial Intelligence Review	2
Expert Systems with Applications	2
Neural Computing and Applications	2

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Understanding adversarial attacks on deep learning based medical image analysis systems Pattern Recognition, 2020
- Enhancing the adversarial robustness in medical image classification: exploring adversarial machine learning with vision transformers-based models Neural Computing and Applications, 2024 — cites the paper above
Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier Expert Systems with Applications, 2023
- Two-stage framework for diabetic retinopathy diagnosis and disease stage screening with ensemble learning Expert Systems with Applications, 2023 — cites the paper above

Papers linking to diabetic-retinopathy-detection, most cited first
Published	Title	Journal	Authors	Citations	Link
2020-05-01	Understanding adversarial attacks on deep learning based medical image analysis systems	Pattern Recognition	Xingjun Ma, Yuhao Niu, Lin Gu et al.	548	cites it
2019-07-28	Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation	Computational Statistics & Data Analysis	Yongchan Kwon, Joong‐Ho Won, Beom Joon Kim et al.	423	cites it
2023-01-13	Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier	Expert Systems with Applications	Md. Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni et al.	142	cites it
2022-01-25	Predicting myocardial infarction through retinal scans and minimal personal information	Nature Machine Intelligence	Andres Diaz‐Pinto, Nishant Ravikumar, Rahman Attar et al.	105	cites it
2023-07-20	Tackling class imbalance in computer vision: a contemporary review	Artificial Intelligence Review	Manisha Saini, Seba Susan	68	cites it
2022-01-31	Visual privacy attacks and defenses in deep learning: a survey	Artificial Intelligence Review	Guangsheng Zhang, Bo Liu, Tianqing Zhu et al.	51	cites it
2023-04-20	Two-stage framework for diabetic retinopathy diagnosis and disease stage screening with ensemble learning	Expert Systems with Applications	Mohammad H. Alshayeji, Sa’ed Abed, Silpa ChandraBhasi Sindhu	23	cites it
2020-06-18	Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing	Pattern Recognition	János Attila Tóth, Henrietta Tomán, András Hajdú	18	cites it
2023-10-16	SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels	International Journal of Computer Vision	Hengyuan Zhao, Pichao Wang, Yuyang Zhao et al.	17	cites it
2021-02-01	Automatic analysis of artistic paintings using information-based measures	Pattern Recognition	Jorge Miguel Silva, Diogo Pratas, Rui Antunes et al.	15	cites it
2023-11-09	Hyperparameter optimization of pre-trained convolutional neural networks using adolescent identity search algorithm	Neural Computing and Applications	Ebubekir Akkuş, Ufuk Bal, Fatma Önay Koçoğlu et al.	10	cites it
2024-11-29	Enhancing the adversarial robustness in medical image classification: exploring adversarial machine learning with vision transformers-based models	Neural Computing and Applications	Elif Kanca, Selen Ayas, Elif Baykal Kablan et al.	8	cites it
2025-08-30	Visual Instruction Tuning towards General-Purpose Multimodal Large Language Model: A Survey	International Journal of Computer Vision	Jiaxing Huang, Jingyi Zhang, Kai Yong Jiang et al.	8	cites it
2025-10-05	Secure and incentivized federated learning for resilient telemedicine diagnostics	Knowledge-Based Systems	Omar Dib	7	cites it
2025-07-07	Bi-branch bidirectional coupled interaction fusion network for multi-retinal diseases diagnosis	Knowledge-Based Systems	Shaobin Chen, Tao Tan, Xinyu Zhao et al.	2	cites it
2025-11-11	Revisiting the representation learning in long-tailed medical image classification	Pattern Recognition	Mianzimei Yang, Zhipeng Zhou, Wei Gong	2	cites it
2025-12-07	Which domain fits best? domain similarity measures for two-step heterogeneous transfer learning for early laryngeal cancer diagnosis	Knowledge-Based Systems	Xinyi Fang, Yuqi Luo, Kei Long Wong et al.	2	cites it
2026-04-15	A large-scale multi-view fundus images dataset and benchmark for diabetic retinopathy grading	Information Fusion	Xiaoling Luo, Qiaojian Zheng, Chengliang Liu et al.	1	cites it
2025-10-06	Analysis of model-based ensemble learning for accurate diabetic retinopathy grading	Knowledge-Based Systems	Huang-Chia Shih, Yuchang Cheng, Chia-Shiang Chen 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). diabetic-retinopathy-detection: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-diabetic-retinopathy-detection

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

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