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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:

Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
Ganeshsree Selvachandran, Shio Gai Quek, Raveendran Paramesran, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 915-964
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Revolutionizing Diabetic Retinopathy Diagnostics and Therapy Through Artificial Intelligence
R. S. M. Lakshmi Patibandla, B. Tarakeswara Rao, M. Ramakrishna Murty
Advances in healthcare information systems and administration book series (2024), pp. 136-155
Closed Access | Times Cited: 21
Artificial intelligence promotes the diagnosis and screening of diabetic retinopathy
Xuan Huang, Hui Wang, Chongyang She, et al.
Frontiers in Endocrinology (2022) Vol. 13
Open Access | Times Cited: 49
Analysis of Diabetic Retinopathy (DR) Based on the Deep Learning
Abdul Muiz Fayyaz, Muhammad Imran Sharif, Sami Azam, et al.
Information (2023) Vol. 14, Iss. 1, pp. 30-30
Open Access | Times Cited: 38
Vision Transformer Model for Predicting the Severity of Diabetic Retinopathy in Fundus Photography-Based Retina Images
Waleed Nazih, Ahmad O. Aseeri, Osama Youssef Atallah, et al.
IEEE Access (2023) Vol. 11, pp. 117546-117561
Open Access | Times Cited: 22
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
Oxidative Stress Implication in Retinal Diseases—A Review
Marcella Nebbioso, Federica Franzone, Alessandro Lambìase, et al.
Antioxidants (2022) Vol. 11, Iss. 9, pp. 1790-1790
Open Access | Times Cited: 32
Diabetic retinopathy disease detection using shapley additive ensembled densenet-121 resnet-50 model
A. Rosline Mary, P. Kavitha
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69797-69824
Closed Access | Times Cited: 7
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 Deep Learning Model for Detecting Diabetic Retinopathy Stages with Discrete Wavelet Transform
A. M. Mutawa, Khalid Al-Sabti, Seemant Raizada, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4428-4428
Open Access | Times Cited: 5
Supervised fine-tuned approach for automated detection of diabetic retinopathy
Kriti Ohri, Mukesh Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 5, pp. 14259-14280
Closed Access | Times Cited: 12
The Economic Burden of Diabetic Retinopathy in Jordan: Cost Analysis and Associated Factors
Rami Al-Dwairi, Abdelwahab Aleshawi, Laith Abu-zreig, et al.
ClinicoEconomics and Outcomes Research (2024) Vol. Volume 16, pp. 161-171
Open Access | Times Cited: 4
Fine-Grained Self-Supervised Learning with Jigsaw puzzles for medical image classification
Wongi Park, Jongbin Ryu
Computers in Biology and Medicine (2024) Vol. 174, pp. 108460-108460
Open Access | Times Cited: 4
When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity
Weiwei Huo, Q. Li, Bingqian Liang, et al.
Behavioral Sciences (2025) Vol. 15, Iss. 1, pp. 88-88
Open Access
Economic Market Transaction Risk Management of High-Frequency Data Models in Computer System-Assisted Environment
Shiqi Liu, Yingying Yang, Boyu Zhang
Lecture notes in electrical engineering (2025), pp. 162-171
Closed Access
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standards
Ying Cui, Qi Yu, Amita K. Manatunga, et al.
Biometrics (2025) Vol. 81, Iss. 1
Closed Access
A Systematic Review on Fundus Image-Based Diabetic Retinopathy Detection and Grading: Current Status and Future Directions
Amna Ikram, Azhar Imran, Jianqiang Li, et al.
IEEE Access (2024) Vol. 12, pp. 96273-96303
Open Access | Times Cited: 3
A Deep Learning Model for Detecting the Diabetic Retinopathy Stages with Discrete Wavelet Transform
A. M. Mutawa, Khalid Al-Sabti, Seemant Raizada, et al.
(2024)
Open Access | Times Cited: 3
CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images
Haider Ali, Mingzhao Wang, Juanying Xie
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1176-1197
Closed Access | Times Cited: 3
Graph-based multi-level feature fusion network for diabetic retinopathy grading using ultra-wide-field images
Dan Zhang, Mengting Liu, Fangsheng Chen, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106134-106134
Closed Access | Times Cited: 2
Optical coherence tomography technology in clinical applications
Jack C. Tang, Regina Magalhães, Anna Wisniowiecki, et al.
Elsevier eBooks (2024), pp. 285-346
Closed Access | Times Cited: 2
Minimized Computations of Deep Learning Technique for Early Diagnosis of Diabetic Retinopathy Using IoT-Based Medical Devices
Shahnawaz Ayoub, Mohiuddin Ali Khan, Vaishali Prashant Jadhav, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 10
Hybrid Fusion of High-Resolution and Ultra-Widefield OCTA Acquisitions for the Automatic Diagnosis of Diabetic Retinopathy
Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2770-2770
Open Access | Times Cited: 5
Detection and Grade Classification of Diabetic Retinopathy and Adult Vitelliform Macular Dystrophy Based on Ophthalmoscopy Images
Saravanan Srinivasan, Rajalakshmi Nagarnaidu Rajaperumal, Sandeep Kumar Mathivanan, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 862-862
Open Access | Times Cited: 5
A Computational Intelligence-Based Approach for Detection of Diabetic Retinopathy Using Residual Recurrent Neural Network
S. Shilpa, B. Karthik
(2023), pp. 1735-1739
Closed Access | Times Cited: 4
Advancing diabetic retinopathy diagnosis with fundus imaging: A comprehensive survey of computer-aided detection, grading and classification methods
S Prathibha, Siddappaji
Global Transitions (2024) Vol. 6, pp. 93-112
Open Access | Times Cited: 1
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