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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 five severity levels of diabetic retinopathy using ensemble deep learning model
Yatharth Kale, Sanjeev Sharma
Multimedia Tools and Applications (2022) Vol. 82, Iss. 12, pp. 19005-19020
Closed Access | Times Cited: 13

Showing 13 citing articles:

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
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
Construction Engineering Defect Detection and Diagnosis Technology Based on Deep Learning
Xue Li, Lijuan Wang
Sustainable civil infrastructures (2025), pp. 185-195
Closed Access
Optic-GAN: a generalized data augmentation model to enhance the diabetic retinopathy detection
Preeti Kapoor, Shaveta Arora
International Journal of Information Technology (2025)
Closed Access
Hybrid model of feature-driven modular neural network–based grasshopper optimization algorithm for diabetic retinopathy classification using fundus images
Deva Durai, T. Jaya
Medical & Biological Engineering & Computing (2025)
Closed Access
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
Deep learning based diabetic retinopathy screening for resource constraint applications
Majida Kazmi, Basra Hafeez, Duae Fatima, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 33, pp. 79559-79588
Closed Access | Times Cited: 2
Enhancing multi-class diabetic retinopathy detection using tuned hyper-parameters and modified deep transfer learning
Yeganeh Modaresnia, Farhad Abedinzadeh Torghabeh, Seyyed Abed Hosseini
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 81455-81476
Closed Access | Times Cited: 2
Research on Image Processing and Recognition Algorithms in Software Information Systems Based on Deep Learning
Xiaojun Tang
(2024), pp. 116-121
Closed Access | Times Cited: 1
Enhancing diabetic retinopathy classification using deep learning
Ghadah Alwakid, Walaa Gouda, Mamoona Humayun, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 2
iDP: ML-driven diabetes prediction framework using deep-ensemble modeling
Ajay Kumar, Seema Bawa, Neeraj Kumar
Neural Computing and Applications (2023) Vol. 36, Iss. 5, pp. 2525-2548
Closed Access | Times Cited: 2
Pavement Binder Course Optimization
Abrar Alazawi, Hassan Musa Al-Mousawi
Al-Nahrain Journal for Engineering Sciences (2024) Vol. 27, Iss. 2, pp. 155-163
Open Access
FedDL: personalized federated deep learning for enhanced detection and classification of diabetic retinopathy
Dasari Bhulakshmi, Dharmendra Singh Rajput
PeerJ Computer Science (2024) Vol. 10, pp. e2508-e2508
Open Access
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