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OpenAlex Citation Counts

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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:

Detection of Diabetic Retinopathy in Retinal Fundus Images Using CNN Classification Models
Al-Omaisi Asia, Chengzhang Zhu, Sara A. Althubiti, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2740-2740
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Development of revised ResNet-50 for diabetic retinopathy detection
Chun‐Ling Lin, Kun-Chi Wu
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 45
A hybrid evolutionary weighted ensemble of deep transfer learning models for retinal vessel segmentation and diabetic retinopathy detection
Richa Vij, Sakshi Arora
Computers & Electrical Engineering (2024) Vol. 115, pp. 109107-109107
Closed Access | Times Cited: 14
Classification of Diabetic Retinopathy by Deep Learning
Roaa Al-ahmadi, Hatoon Al-ghamdi, Lobna Hsairi
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 01, pp. 74-88
Open Access | Times Cited: 5
A unified 2D medical image segmentation network (SegmentNet) through distance-awareness and local feature extraction
Chukwuebuka Joseph Ejiyi, Zhen Qin, Chiagoziem C. Ukwuoma, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 431-449
Closed Access | Times Cited: 5
A novel deep learning model for diabetic retinopathy detection in retinal fundus images using pre-trained CNN and HWBLSTM
S V Hemanth, Saravanan Alagarsamy, T. Dhiliphan Rajkumar
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-19
Closed Access | Times Cited: 4
Diabetic retinopathy detection by fundus images using fine tuned deep learning model
Satya Prakash Singh, Pankaj Gupta, Rakshita Dung
Multimedia Tools and Applications (2024) Vol. 83, Iss. 39, pp. 86657-86679
Closed Access | Times Cited: 4
Empirical analysis on retinal segmentation using PSO-based thresholding in diabetic retinopathy grading
Booma Devi Sekar, Subashini Parthasarathy
Biomedical Engineering / Biomedizinische Technik (2025)
Closed Access
Grad-CAM based explanations for multiocular disease detection using Xception net
M Raveenthini, R Lavanya, Raúl Benítez
Image and Vision Computing (2025), pp. 105419-105419
Closed Access
Advanced Hybridization and Optimization of DNNs for Medical Imaging: A Survey on Disease Detection Techniques
Maneet Kaur Bohmrah, Harjot Kaur
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Diabetic retinopathy detection via exudates and hemorrhages segmentation using iterative NICK thresholding, watershed, and Chi2 feature ranking
Patsaphon Chandhakanond, Pakinee Aimmanee
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Diabetic Retinopathy Grade Assessment Using ResNetRS
Yahia Bouslimi, Dhia Elhak Bouslimi, Afef Kacem Echi, et al.
Communications in computer and information science (2025), pp. 130-140
Closed 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
Exploring the Impact of Artificial Intelligence on Patient Care: A Comprehensive Review of Healthcare Advancements
Sharmila Nirojini P, K Kanaga, S.V. Devika, et al.
Scholars Academic Journal of Pharmacy (2024) Vol. 13, Iss. 02, pp. 67-81
Open Access | Times Cited: 3
Hybrid hunter-prey ladybug beetle optimization enabled deep learning for diabetic retinopathy classification
Vidya Sagvekar, Manjusha Joshi, Minu Ramakrishnan, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106346-106346
Closed Access | Times Cited: 3
Detection of diabetic retinopathy and age-related macular degeneration using DenseNet based neural networks
Manpinder Singh, Saiba Dalmia, Ranjeet Kumar Ranjan
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
An Experimental Survey of Incremental Transfer Learning for Multicenter Collaboration
Yixing Huang, Christoph Bert, Ahmed M. Gomaa, et al.
IEEE Access (2024) Vol. 12, pp. 101210-101227
Open Access | Times Cited: 2
Deep learning based binary classification of diabetic retinopathy images using transfer learning approach
Dimple Saproo, Aparna N. Mahajan, Seema Narwal
Journal of Diabetes & Metabolic Disorders (2024) Vol. 23, Iss. 2, pp. 2289-2314
Closed Access | Times Cited: 2
Segmentation of Retinal Blood Vessels Using U-Net++ Architecture and Disease Prediction
Manizheh Safarkhani Gargari, MirHojjat Seyedi, Mehdi Alilou
Electronics (2022) Vol. 11, Iss. 21, pp. 3516-3516
Open Access | Times Cited: 10
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection
Chun‐Ling Lin, Zhi‐Xiang Jiang
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 4, pp. 1450-1466
Closed Access | Times Cited: 4
U-Net based Segmentation and Transfer Learning Based-Classification for Diabetic-Retinopathy Diagnosis
B D Parameshachari, B M Nalini, H M LeenaShruthi, et al.
(2023), pp. 01-07
Closed Access | Times Cited: 4
Automated Decision Making ResNet Feed-Forward Neural Network based Methodology for Diabetic Retinopathy Detection
A. Aruna Kumari, Avinash Bhagat, Santosh Kumar Henge, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 4
Diabetic Retinopathy Blood Vessel Detection Using CNN and RNN Techniques
Adithya Kusuma Whardana, Parma Hadi Rentelinggi, Hezkiel Dokta Timothy
Journal of Information Technology and Cyber Security (2024) Vol. 1, Iss. 2, pp. 68-75
Open Access | Times Cited: 1
AI-based methods for detecting and classifying age-related macular degeneration: a comprehensive review
Niveen Nasr El-Den, Mohamed Elsharkawy, Ibrahim A. Hameed, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 1
Artificial intelligence in mental health landscape: A qualitative analysis of ethics and law
Swati Malik, Adya Surbhi
AIP conference proceedings (2024) Vol. 3220, pp. 020030-020030
Closed Access | Times Cited: 1
Deep neural network model for diagnosing diabetic retinopathy detection: An efficient mechanism for diabetic management
Dharmalingam Muthusamy, Parimala Palani
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107035-107035
Closed Access | Times Cited: 1
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