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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:

Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Kaveri A. Thakoor, Xinhui Li, Emmanouil Tsamis, et al.
(2019)
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102470-102470
Open Access | Times Cited: 648
A scoping review of transfer learning research on medical image analysis using ImageNet
Mohammad Amin Morid, Alireza Borjali, Guilherme Del Fiol
Computers in Biology and Medicine (2020) Vol. 128, pp. 104115-104115
Open Access | Times Cited: 367
Transfer learning techniques for medical image analysis: A review
Padmavathi Kora, Chui Ping Ooi, Oliver Faust, et al.
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 79-107
Closed Access | Times Cited: 234
Automatic Diagnosis of Glaucoma from Retinal Images Using Deep Learning Approach
Ayesha Shoukat, Shahzad Akbar, Syed Ale Hassan, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1738-1738
Open Access | Times Cited: 43
Automated Tool Support for Glaucoma Identification With Explainability Using Fundus Images
Thisara Shyamalee, Dulani Meedeniya, Gilbert Lim, et al.
IEEE Access (2024) Vol. 12, pp. 17290-17307
Open Access | Times Cited: 30
Residual Connection-Based Encoder Decoder Network (RCED-Net) for Retinal Vessel Segmentation
Tariq M. Khan, Musaed Alhussein, Khursheed Aurangzeb, et al.
IEEE Access (2020) Vol. 8, pp. 131257-131272
Open Access | Times Cited: 75
Glaucoma Detection with Retinal Fundus Images Using Segmentation and Classification
Thisara Shyamalee, Dulani Meedeniya
Deleted Journal (2022) Vol. 19, Iss. 6, pp. 563-580
Closed Access | Times Cited: 45
An Adoptive Threshold-Based Multi-Level Deep Convolutional Neural Network for Glaucoma Eye Disease Detection and Classification
Muhammad Aamir, Muhammad Irfan, Tariq Ali, et al.
Diagnostics (2020) Vol. 10, Iss. 8, pp. 602-602
Open Access | Times Cited: 56
Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images
Kaveri A. Thakoor, Sharath Koorathota, Donald C. Hood, et al.
IEEE Transactions on Biomedical Engineering (2020) Vol. 68, Iss. 8, pp. 2456-2466
Open Access | Times Cited: 56
Detection of microscopic glaucoma through fundus images using deep transfer learning approach
Shahzad Akbar, Syed Ale Hassan, Ayesha Shoukat, et al.
Microscopy Research and Technique (2022) Vol. 85, Iss. 6, pp. 2259-2276
Closed Access | Times Cited: 34
Performance evaluation of various deep learning based models for effective glaucoma evaluation using optical coherence tomography images
Law Kumar Singh, Pooja Sharma, Hitendra Garg, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 19, pp. 27737-27781
Open Access | Times Cited: 28
An Unsupervised Retinal Vessel Segmentation Using Hessian and Intensity Based Approach
Musaed Alhussein, Khursheed Aurangzeb, Syed Irtaza Haider
IEEE Access (2020) Vol. 8, pp. 165056-165070
Open Access | Times Cited: 45
Glaucoma Detection from Raw SD-OCT Volumes: A Novel Approach Focused on Spatial Dependencies
Gabriel García, Adrián Colomer, Valery Naranjo
Computer Methods and Programs in Biomedicine (2020) Vol. 200, pp. 105855-105855
Closed Access | Times Cited: 43
Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network
Muhammad Aamir, Tariq Ali, Muhammad Irfan, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2648-2648
Open Access | Times Cited: 33
CNN Based Fundus Images Classification For Glaucoma Identification
Thisara Shyamalee, Dulani Meedeniya
(2022), pp. 200-205
Closed Access | Times Cited: 23
Ocular Biomarkers for Alzheimer Disease Dementia
Eliana Costanzo, Imre Lengyel, Mariacristina Parravano, et al.
JAMA Ophthalmology (2022) Vol. 141, Iss. 1, pp. 84-84
Open Access | Times Cited: 23
Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions
Md. Imran Hossain, Ghada Zamzmi, Peter R. Mouton, et al.
ACM Computing Surveys (2023)
Open Access | Times Cited: 13
Redundancy reduced depthwise separable convolution for glaucoma classification using OCT images
A. P. Sunija, Varun P. Gopi, P. Palanisamy
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103192-103192
Closed Access | Times Cited: 27
Ophthalmic digital health
Bradley Cunningham, Rachana Visaria
Elsevier eBooks (2025), pp. 179-208
Closed Access
Multi-label fundus image classification model based on deep learning for multiclass imbalanced ocular disease dataset
Vinodhini Velleangiri, Sathiyabhama Balasubramaniam, Vijay Kumar, et al.
AIP conference proceedings (2025) Vol. 3279, pp. 020076-020076
Closed Access
Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks
Gabriel García, Rocío del Amor, Adrián Colomer, et al.
Artificial Intelligence in Medicine (2021) Vol. 118, pp. 102132-102132
Open Access | Times Cited: 25
Recognition of eye diseases based on deep neural networks for transfer learning and improved D-S evidence theory
FANYU DU, Lishuai Zhao, Hui Luo, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Early Glaucoma Detection using LSTM-CNN integrated with Multi Class SVM
Vijaya Madhavi Vuppu, P. Lalitha Surya Kumari
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15645-15650
Open Access | Times Cited: 3
Explainable AI Based Glaucoma Detection Using Transfer Learning and LIME
Touhidul Islam Chayan, Anita Islam, Eftykhar Rahman, et al.
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2022)
Open Access | Times Cited: 15
G-Net Light: A Lightweight Modified Google Net for Retinal Vessel Segmentation
Shahzaib Iqbal, Syed S. Naqvi, Haroon Ahmed Khan, et al.
Photonics (2022) Vol. 9, Iss. 12, pp. 923-923
Open Access | Times Cited: 14
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