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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:

Automated glaucoma diagnosis using deep learning approach
Baidaa Al‐Bander, Waleed Al‐Nuaimy, Majid A. Al-Taee, et al.
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) (2017), pp. 207-210
Closed Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

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
A combined convolutional and recurrent neural network for enhanced glaucoma detection
Soheila Gheisari, Sahar Shariflou, Jack Phu, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 104
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
Retinal Image Analysis for Diabetes-Based Eye Disease Detection Using Deep Learning
Tahira Nazir, Aun Irtaza, Ali Javed, et al.
Applied Sciences (2020) Vol. 10, Iss. 18, pp. 6185-6185
Open Access | Times Cited: 96
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
Transfer Learning for Early and Advanced Glaucoma Detection with Convolutional Neural Networks
Ali Serener, Sertan Serte
2020 Medical Technologies Congress (TIPTEKNO) (2019), pp. 1-4
Closed Access | Times Cited: 79
An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus
Law Kumar Singh, Pooja Sharma, Hitendra Garg, et al.
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 2, pp. 333-353
Closed Access | Times Cited: 62
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
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection
Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020)
Open Access | Times Cited: 60
A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning‐nature driven computing
Law Kumar Singh, Munish Khanna, Shankar Thawkar
Expert Systems (2022) Vol. 39, Iss. 10
Closed Access | Times Cited: 30
Artificial intelligence in glaucoma: opportunities, challenges, and future directions
Xiaoqin Huang, Md Rafiqul Islam, Shanjita Akter, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 16
An hybrid feature space from texture information and transfer learning for glaucoma classification
Maíla Claro, Rodrigo Veras, André M. Santana, et al.
Journal of Visual Communication and Image Representation (2019) Vol. 64, pp. 102597-102597
Closed Access | Times Cited: 50
G-Eyenet: A Convolutional Autoencoding Classifier Framework for the Detection of Glaucoma from Retinal Fundus Images
Abhishek Pal, Manav Rajiv Moorthy, A. Shahina
(2018), pp. 2775-2779
Closed Access | Times Cited: 47
Multiple eye disease detection using Deep Neural Network
K.S.R Krishna Prasad, P S Sajith, Mohit Neema, et al.
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2019), pp. 2148-2153
Closed Access | Times Cited: 46
A Comparative Study of Deep Learning Models for Diagnosing Glaucoma From Fundus Images
Manal Alghamdi, Mohamed Abdel-Mottaleb
IEEE Access (2021) Vol. 9, pp. 23894-23906
Open Access | Times Cited: 40
A robust framework for glaucoma detection using CLAHE and EfficientNet
Neeraj Gupta, Hitendra Garg, Rohit Agarwal
The Visual Computer (2021) Vol. 38, Iss. 7, pp. 2315-2328
Closed Access | Times Cited: 33
An ensemble framework based on Deep CNNs architecture for glaucoma classification using fundus photography
Aziz-Ur Rehman, Imtiaz Ahmad Taj, Muhammad Sajid, et al.
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 5, pp. 5321-5346
Open Access | Times Cited: 33
Classification of Glaucoma Based on Elephant-Herding Optimization Algorithm and Deep Belief Network
Mona A. S. Ali, Kishore Balasubramanian, K. Gayathri Devi, et al.
Electronics (2022) Vol. 11, Iss. 11, pp. 1763-1763
Open Access | Times Cited: 25
Semi-supervised Transfer Learning for Convolutional Neural Networks for Glaucoma Detection
Manal Alghamdi, Mingqi Li, Mohamed Abdel-Mottaleb, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019), pp. 3812-3816
Closed Access | Times Cited: 39
GC-NET for classification of glaucoma in the retinal fundus image
Mamta Juneja, Niharika Thakur, Sarthak Thakur, et al.
Machine Vision and Applications (2020) Vol. 31, Iss. 5
Closed Access | Times Cited: 35
Optic Disc and Optic Cup Segmentation for Glaucoma Detection from Blur Retinal Images Using Improved Mask-RCNN
Tahira Nazir, Aun Irtaza, В. В. Старовойтов
International Journal of Optics (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 30
A real time cloud-based framework for glaucoma screening using EfficientNet
Hitendra Garg, Neeraj Gupta, Rohit Agrawal, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 24, pp. 34737-34758
Closed Access | Times Cited: 21
A Review of Deep Learning Techniques for Glaucoma Detection
Takfarines Guergueb, Moulay A. Akhloufi
SN Computer Science (2023) Vol. 4, Iss. 3
Closed Access | Times Cited: 12
Cloud-Based Optimized Deep Learning Framework for Automated Glaucoma Detection Using Stationary Wavelet Transform and Improved Grey-Wolf-Optimization with ELM Approach
Debendra Muduli, Syed Irfan Yaqoob, Santosh Kumar Sharma, et al.
Results in Engineering (2025), pp. 104682-104682
Open Access
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