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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:

An enhanced swarm optimization-based deep neural network for diabetic retinopathy classification in fundus images
A. Mary Dayana, W. R. Sam Emmanuel
Multimedia Tools and Applications (2022) Vol. 81, Iss. 15, pp. 20611-20642
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Detection and classification of red lesions from retinal images for diabetic retinopathy detection using deep learning models
P. Saranya, R Pranati, Sneha Shruti Patro
Multimedia Tools and Applications (2023) Vol. 82, Iss. 25, pp. 39327-39347
Closed Access | Times Cited: 47
Artificial intelligence for diabetic retinopathy detection: A systematic review
Archana Senapati, Hrudaya Kumar Tripathy, Vandana Sharma, et al.
Informatics in Medicine Unlocked (2024) Vol. 45, pp. 101445-101445
Open Access | Times Cited: 16
Automated diabetic retinopathy screening using deep learning
Sarra Guefrachi, Amira Echtioui, Habib Hamam
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65249-65266
Closed Access | Times Cited: 14
An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection
F. M. Javed Mehedi Shamrat, Rashiduzzaman Shakil, Sharmin, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100303-100303
Open Access | Times Cited: 13
Diabetic Retinopathy Classification With Deep Learning via Fundus Images: A Short Survey
Shanshan Zhu, Changchun Xiong, Qingshan Zhong, et al.
IEEE Access (2024) Vol. 12, pp. 20540-20558
Open Access | Times Cited: 11
Diabetic retinopathy detection and severity classification using optimized deep learning with explainable AI technique
B. Lalithadevi, S. Krishnaveni
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 10
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
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
A systematic review on diabetic retinopathy detection and classification based on deep learning techniques using fundus images
Dasari Bhulakshmi, Dharmendra Singh Rajput
PeerJ Computer Science (2024) Vol. 10, pp. e1947-e1947
Open Access | Times Cited: 6
A Literature Review of Early-Stage Diabetic Retinopathy Detection Using Deep Learning and Evolutionary Computing Techniques
Sachin Bhandari, Sunil Pathak, Sonal Jain
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 2, pp. 799-810
Closed Access | Times Cited: 27
Deep learning enabled optimized feature selection and classification for grading diabetic retinopathy severity in the fundus image
A. Mary Dayana, W. R. Sam Emmanuel
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 18663-18683
Closed Access | Times Cited: 25
A Comprehensive Review of the Tunicate Swarm Algorithm: Variations, Applications, and Results
Rong Zheng, Abdelazim G. Hussien, Anas Bouaouda, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
A multi model deep net with an explainable AI based framework for diabetic retinopathy segmentation and classification
Neeraj Sharma, Praveen Lalwani
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Comprehensive Review of Diabetic Retinopathy Detection and Grading Based on Deep Learning and Metaheuristic Optimization Techniques
A. Mary Dayana, W. R. Sam Emmanuel
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4565-4599
Closed Access | Times Cited: 9
Multi-Label Classification of Fundus Images with Optimized Vision Transformer Based Wasserstein Deep Convolutional Generative Adversarial Network
K. Sreekumar, E. R. Vimina
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access | Times Cited: 3
Feature fusion and optimization integrated refined deep residual network for diabetic retinopathy severity classification using fundus image
A. Mary Dayana, W. R. Sam Emmanuel, C. Harriet Linda
Multimedia Systems (2023) Vol. 29, Iss. 3, pp. 1629-1650
Closed Access | Times Cited: 8
Revolutionizing diabetic retinopathy diagnosis through advanced deep learning techniques: Harnessing the power of GAN model with transfer learning and the DiaGAN-CNN model
Mohamed R. Shoaib, Heba M. Emara, Ahmed S. Mubarak, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106790-106790
Closed Access | Times Cited: 2
A deep learning framework with edge computing for severity level detection of diabetic retinopathy
Ahmed Al-Karawi, Ercan Avşar
Multimedia Tools and Applications (2023) Vol. 82, Iss. 24, pp. 37687-37708
Closed Access | Times Cited: 4
Classification of diabetic retinopathy based on Functional Linked Neural network utilizing segmented fundus image features
D. Sasikala, T. Kowsalya, P. Padmaloshani, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106252-106252
Closed Access | Times Cited: 1
Diabetic retinopathy detection with fundus images based on deep model enabled chronological rat swarm optimization
Neelima Gullipalli, V B K L Aruna, Veerraju Gampala, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 75407-75435
Closed Access | Times Cited: 1
Analysis and design of optimal deep neural network model for image recognition using hybrid cuckoo search with self-adaptive particle swarm intelligence
Alankar Shantaram Shelar, Raj Kulkarni
Signal Image and Video Processing (2024) Vol. 18, Iss. 10, pp. 6987-6995
Closed Access | Times Cited: 1
Diabetic Retinopathy Classification Using Deep Residual Network with Remora Tuna Swarm Optimization
H R Manjunatha, P. Sathish
Sensing and Imaging (2024) Vol. 25, Iss. 1
Closed Access | Times Cited: 1
A deep-learning enhanced algorithm for the automated detection of diabetic retinopathy
A. Rafega Beham, V. Thanikaiselvan
International Journal of Systems Assurance Engineering and Management (2023)
Closed Access | Times Cited: 2
Improved Diabetic Retinopathy Severity Classification Using Squeeze-and-excitation and Sparse Light Weight Multi-level Attention U-net With Transfer Learning From Xception
Sachin Bhandari, Sunil Pathak, Sonal Jain, et al.
Research Square (Research Square) (2024)
Open Access
Evolutionary Discriminative Deep Belief Network Based Diabetic Retinopathy Classification
S. Saranya Rubini, K. Sathya, R. Saveeth, et al.
Lecture notes in networks and systems (2024), pp. 335-345
Closed Access
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