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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A novel four-step feature selection technique for diabetic retinopathy grading
N Jagan Mohan, R. Murugan, Tripti Goel, et al.
Physical and Engineering Sciences in Medicine (2021) Vol. 44, Iss. 4, pp. 1351-1366
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Classification and Segmentation of Diabetic Retinopathy: A Systemic Review
Natasha Shaukat, Javeria Amin, Muhammad Imran Sharif, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3108-3108
Open Access | Times Cited: 21
DRFL: Federated Learning in Diabetic Retinopathy Grading Using Fundus Images
N Jagan Mohan, R. Murugan, Tripti Goel, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 6, pp. 1789-1801
Closed Access | Times Cited: 19
Smart detection and diagnosis of diabetic retinopathy using bat based feature selection algorithm and deep forest technique
Praveen Modi, Yugal Kumar
Computers & Industrial Engineering (2023) Vol. 182, pp. 109364-109364
Closed Access | Times Cited: 18
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression
Tiwalade Modupe Usman, Yakub Kayode Saheed, Augustine Shey Nsang, et al.
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102617-102617
Closed Access | Times Cited: 16
Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder
Shagufta Almas, Fazli Wahid, Sikandar Ali, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
RPN: A region-to-pixel-mask-based convolutional network for lesion segmentation of fundus images
Hongda Zhang, Chun Ouyang, Wei Lin, et al.
Neurocomputing (2025), pp. 129456-129456
Closed Access
An efficient automatic diabetic retinopathy grading using a two-way cascaded convolution neural network
N. S. Kavitha, N. Kasthuri
Deleted Journal (2025) Vol. 28, Iss. 1
Open Access
Exploring Diabetic Retinopathy: Pathogenesis, Therapeutic Advances, and Genetic Influences
Lavanya B. Ramegowda, Saurabh Maheshwari, Shobha Chikkavaddaragudi Ramachandra, et al.
Current Ophthalmology Reports (2025) Vol. 13, Iss. 1
Closed Access
ViT-DR: Vision Transformers in Diabetic Retinopathy Grading Using Fundus Images
N Jagan Mohan, R. Murugan, Tripti Goel, et al.
(2022), pp. 167-172
Closed Access | Times Cited: 17
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
Ji‐Won Chun, Hun‐Sung Kim
Journal of Korean Medical Science (2023) Vol. 38, Iss. 31
Open Access | Times Cited: 10
Diagnosis and multiclass classification of diabetic retinopathy using enhanced multi thresholding optimization algorithms and improved Naive Bayes classifier
Bhimavarapu Usharani
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 81325-81359
Closed Access | Times Cited: 3
Automated grading of diabetic retinopathy using CNN with hierarchical clustering of image patches by siamese network
V. Deepa, C. Sathish Kumar, Thomas Cherian
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 2, pp. 623-635
Closed Access | Times Cited: 14
An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancer
Sangeeta Kurman, Sumitra Kisan
Knowledge and Information Systems (2023) Vol. 65, Iss. 5, pp. 1881-1934
Closed Access | Times Cited: 8
UC-stack: a deep learning computer automatic detection system for diabetic retinopathy classification
Yong Fu, Yuekun Wei, Siying Chen, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 4, pp. 045021-045021
Open Access | Times Cited: 2
A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification
Abdul Qadir Khan, Guangmin Sun, Majdi Khalid, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303094-e0303094
Open Access | Times Cited: 2
OHGCNet: Optimal feature selection-based hybrid graph convolutional network model for joint DR-DME classification
V. Purna Chandra Reddy, Kiran Kumar Gurrala
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103952-103952
Closed Access | Times Cited: 12
Deep Learning for Diabetic Retinopathy Detection: Challenges and Opportunities
N Jagan Mohan, R. Murugan, Tripti Goel
Studies in computational intelligence (2022), pp. 213-232
Closed Access | Times Cited: 11
Privacy-preserving collaborative AI for distributed deep learning with cross-sectional data
Saeed Iqbal, Adnan N. Qureshi, Musaed Alhussein, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 33, pp. 80051-80073
Closed Access | Times Cited: 5
Whale-optimized convolutional neural network for potato fungal pathogens disease classification
D. N. Kiran Pandiri, R. Murugan, Tripti Goel
Elsevier eBooks (2024), pp. 477-485
Closed Access | Times Cited: 1
Privacy-preserving AI for early diagnosis of thoracic diseases using IoTs: A federated learning approach with multi-headed self-attention for facilitating cross-institutional study
Imran Arshad Choudhry, Saeed Iqbal, Musaed Alhussein, et al.
Internet of Things (2024) Vol. 27, pp. 101296-101296
Closed Access | Times Cited: 1
GIL-CNN: A Novel Multipath Features for COVID-19 Detection Using CT-Scan Images
N Jagan Mohan, D. N. Kiran Pandiri
IETE Journal of Research (2022) Vol. 69, Iss. 12, pp. 8804-8815
Closed Access | Times Cited: 4
AMDNet: Age-related Macular Degeneration diagnosis through retinal Fundus Images using Lightweight Convolutional Neural Network
Kiran Venneti, Hrishikesh Kashyap, R. Murugan, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 3
Analysis of Deep Learning Performance for Diabetic Retinopathy Severity Classification
Yan Fang Tan, Haniza Yazid, Khairul Salleh Basaruddin, et al.
Lecture notes in mechanical engineering (2024), pp. 129-148
Closed Access
Visual Impairment Prevention by Early Detection of Diabetic Retinopathy Based on Stacked Auto- Encoder
Shagufta Almas, Fazli Wahid, Sikandar Ali, et al.
Research Square (Research Square) (2024)
Open Access
Diabetic retinopathy classification using improved metaheuristics with deep residual network on fundus imaging
R. Ramesh, S. Sathiamoorthy
Multimedia Tools and Applications (2024)
Closed Access
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