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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:

Deep learning for diabetic retinopathy assessments: a literature review
Ayoub Skouta, Abdelali Elmoufidi, Said Jai Andaloussi, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 41701-41766
Closed Access | Times Cited: 19

Showing 19 citing articles:

Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
Ayesha Jabbar, Shahid Naseem, Jianqiang Li, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 5
Modeling and Recognition of Retinal Blood Vessels Tortuosity in ROP Plus Disease: A Hybrid Segmentation–Classification Scheme
Alice Varyšová, Jan Kubíček, Marek Penhaker, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Predicting diabetic retinopathy stage using Siamese Convolutional Neural Network
Maria Santos, Carlos Valadão, Cassius Zanetti Resende, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Haemorrhage diagnosis in colour fundus images using a fast-convolutional neural network based on a modified U-Net
R. Sathiyaseelan, R. Krishnamoorthy, Ramesh Ramamoorthy, et al.
Network Computation in Neural Systems (2024), pp. 1-22
Closed Access | Times Cited: 2
Diabetic retinopathy detection using EADBSC and improved dilated ensemble CNN-based classification
Neetha Merin Thomas, S. Albert Jerome
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33573-33595
Closed Access | Times Cited: 6
DFCAFNet: Dual-feature co-attentive fusion network for diabetic retinopathy grading
Sandeep Madarapu, Samit Ari, Kamalakanta Mahapatra
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106564-106564
Closed Access | Times Cited: 1
Explainable Artificial Intelligence in Deep Learning Neural Nets-Based Digital Images Analysis
Alexey N. Averkin, Egor N. Volkov, Sergey Yarushev
Journal of Computer and Systems Sciences International (2024) Vol. 63, Iss. 1, pp. 175-203
Closed Access | Times Cited: 1
Explainable artificial intelligence in deep learning neural nets-based digital images analysis
Alexey N. Averkin, Egor N. Volkov, Sergey Yarushev
Известия Российской академии наук Теория и системы управления (2024), Iss. 1, pp. 150-178
Closed Access | Times Cited: 1
OCTFormer: An Efficient Hierarchical Transformer Network Specialized for Retinal Optical Coherence Tomography Image Recognition
Haoran Wang, Xinyu Guo, Kaiwen Song, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-17
Closed Access | Times Cited: 4
Multi-Modal Deep Learning Architecture for Improved Colposcopy Image Classification
Priyadarshini Chatterjee, Shadab Siddiqui
(2024)
Open Access | Times Cited: 1
Adversarial learning-based domain adaptation algorithm for intracranial artery stenosis detection on multi-source datasets
Yuan Gao, Chenbin Ma, Lishuang Guo, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108001-108001
Closed Access
DIA-VXNET: A framework for automated diabetic eye disease detection using transfer learning with feature fusion network
Md Najib Hasan, Md Ehashan Rabbi Pial, Sunanda Das, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106907-106907
Open Access
Computer-Aided Diagnosis of Early-Stage Retinopathy of Prematurity in Neonatal Fundus Images Using Artificial Intelligence
V Sankari, U. Snekhalatha
Biomedical Physics & Engineering Express (2024) Vol. 11, Iss. 1, pp. 015015-015015
Closed Access
Multi-Modal Deep Learning Architecture for Improved Colposcopy Image Classification
Priyadarshini Chatterjee, Shadab Siddiqui
Research Square (Research Square) (2024)
Open Access
Optimizing Fine-Tuning Strategies for Diabetic Retinopathy Detection: A Comparative Evaluation of ResNet, Inception, and DenseNet
Komal B. Umare, T. Kishore Kumar
Lecture notes in electrical engineering (2024), pp. 455-465
Closed Access
IoMT enabled diabetic retinopathy segmentation and classification using ensemble efficient net model
Vinodkumar Bhutnal, Nageswara Rao Moparthi
Multimedia Tools and Applications (2024)
Closed Access
CLRD: Collaborative Learning for Retinopathy Detection Using Fundus Images
Yuan Gao, Chenbin Ma, Lishuang Guo, et al.
Bioengineering (2023) Vol. 10, Iss. 8, pp. 978-978
Open Access | Times Cited: 1
Empowering Rural Healthcare: MobileNet-Driven Deep Learning for Early Diabetic Retinopathy Detection in Nepal
Saurav Dev Bhatta
Journal of Electronics Electromedical Engineering and Medical Informatics (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 1
Advances in the Application of Convolutional Neural Networks for Glaucoma Diagnosis
Ayoub Skouta, Abdelali Elmoufidi, Said Jai Andaloussi, et al.
(2023), pp. 1-8
Closed Access
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