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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:

Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning
Juan Valverde, Alfonso Antón, Gianluca Fatti, et al.
Biomedical Optics Express (2019) Vol. 10, Iss. 2, pp. 892-892
Open Access | Times Cited: 228

Showing 1-25 of 228 citing articles:

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Xiaoxuan Liu, Livia Faes, Aditya U. Kale, et al.
The Lancet Digital Health (2019) Vol. 1, Iss. 6, pp. e271-e297
Open Access | Times Cited: 1390
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
José Ignacio Orlando, Huazhu Fu, João Barbosa–Breda, et al.
Medical Image Analysis (2019) Vol. 59, pp. 101570-101570
Open Access | Times Cited: 568
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
Ravi Aggarwal, Viknesh Sounderajah, Guy Martin, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 557
Transfer learning for medical image classification: a literature review
Kim Eun Hee, Alejandro Cosa‐Linan, Nandhini Santhanam, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 499
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 With Adaptive Fine-Tuning
Grega Vrbančič, Vili Podgorelec
IEEE Access (2020) Vol. 8, pp. 196197-196211
Open Access | Times Cited: 160
Deep Learning for Optic Disc Segmentation and Glaucoma Diagnosis on Retinal Images
Syna Sreng, Noppadol Maneerat, Kazuhiko Hamamoto, et al.
Applied Sciences (2020) Vol. 10, Iss. 14, pp. 4916-4916
Open Access | Times Cited: 140
AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning
Anas Bilal, Liucun Zhu, Anan Deng, et al.
Symmetry (2022) Vol. 14, Iss. 7, pp. 1427-1427
Open Access | Times Cited: 132
An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization
Marriam Nawaz, Tahira Nazir, Ali Javed, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 434-434
Open Access | Times Cited: 101
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
Automatic Detection of Diabetic Eye Disease Through Deep Learning Using Fundus Images: A Survey
Rubina Sarki, Khandakar Ahmed, Hua Wang, et al.
IEEE Access (2020) Vol. 8, pp. 151133-151149
Open Access | Times Cited: 122
Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy
David Le, Minhaj Nur Alam, Cham K. Yao, et al.
Translational Vision Science & Technology (2020) Vol. 9, Iss. 2, pp. 35-35
Open Access | Times Cited: 119
Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices
José Augusto Correa Martins, Jaime S. Cardoso, Filipe Soares
Computer Methods and Programs in Biomedicine (2020) Vol. 192, pp. 105341-105341
Closed Access | Times Cited: 89
Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform
Pradeep Kumar Chaudhary, Ram Bilas Pachori
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102237-102237
Closed Access | Times Cited: 86
A Comparison of Transfer Learning Performance Versus Health Experts in Disease Diagnosis From Medical Imaging
Hassaan Malik, Muhammad Shoaib Farooq, Adel Khelifi, et al.
IEEE Access (2020) Vol. 8, pp. 139367-139386
Open Access | Times Cited: 83
Glaucoma assessment from color fundus images using convolutional neural network
Poonguzhali Elangovan, Malaya Kumar Nath
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 2, pp. 955-971
Closed Access | Times Cited: 83
Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Feng Li, Lei Yan, Yuguang Wang, et al.
Graefe s Archive for Clinical and Experimental Ophthalmology (2020) Vol. 258, Iss. 4, pp. 851-867
Closed Access | Times Cited: 74
Deep Learning-Based Glaucoma Detection With Cropped Optic Cup and Disc and Blood Vessel Segmentation
Mir Tanvir Islam, Shafin T. Mashfu, Abrar Faisal, et al.
IEEE Access (2021) Vol. 10, pp. 2828-2841
Open Access | Times Cited: 73
Glaucoma diagnosis using multi-feature analysis and a deep learning technique
Nahida Akter, John Fletcher, Stuart Perry, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 63
Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development
Donald C. Hood, Sol La Bruna, Emmanouil Tsamis, et al.
Progress in Retinal and Eye Research (2022) Vol. 90, pp. 101052-101052
Open Access | Times Cited: 61
ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images
Jahanzaib Latif, Shanshan Tu, Chuangbai Xiao, et al.
SN Applied Sciences (2022) Vol. 4, Iss. 4
Open Access | Times Cited: 53
Deep learning system applicability for rapid glaucoma prediction from fundus images across various data sets
Law Kumar Singh, Pooja Sharma, Hitendra Garg, et al.
Evolving Systems (2022) Vol. 13, Iss. 6, pp. 807-836
Closed Access | Times Cited: 47
Deep learning-based classification network for glaucoma in retinal images
Mamta Juneja, Sarthak Thakur, Archit Uniyal, et al.
Computers & Electrical Engineering (2022) Vol. 101, pp. 108009-108009
Closed Access | Times Cited: 43
En‐ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks
Poonguzhali Elangovan, Malaya Kumar Nath
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 6, pp. 2034-2048
Closed Access | Times Cited: 41
Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion
Vijaya Kumar Velpula, Lakhan Dev Sharma
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 36
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