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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:

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

Showing 1-25 of 43 citing articles:

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
Automated Glaucoma Screening and Diagnosis Based on Retinal Fundus Images Using Deep Learning Approaches: A Comprehensive Review
Mohammad J. M. Zedan, Mohd Asyraf Zulkifley, Ahmad Asrul Ibrahim, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2180-2180
Open Access | Times Cited: 40
Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images
Law Kumar Singh, Munish Khanna, Shankar Thawkar, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 42851-42899
Closed Access | Times Cited: 29
CA-Net: A Novel Cascaded Attention-Based Network for Multistage Glaucoma Classification Using Fundus Images
Dipankar Das, Deepak Ranjan Nayak, Ram Bilas Pachori
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 26
Glaucoma diagnosis from fundus images using modified Gauss-Kuzmin-distribution-based Gabor features in 2D-FAWT
Rajneesh Kumar Patel, Siddharth Singh Chouhan, Hemraj Shobharam Lamkuche, et al.
Computers & Electrical Engineering (2024) Vol. 119, pp. 109538-109538
Closed Access | Times Cited: 10
A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images
Law Kumar Singh, Munish Khanna, Shankar Thawkar, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 46087-46159
Closed Access | Times Cited: 18
A CNN-based hybrid model to detect glaucoma disease
Çinare Oğuz, Tolga Aydın, Mete Yağanoğlu
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 17921-17939
Closed Access | Times Cited: 17
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: 17
CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus images
Dipankar Das, Deepak Ranjan Nayak, Sulatha V. Bhandary, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108454-108454
Closed Access | Times Cited: 7
Glaucoma detection with explainable AI using convolutional neural networks based feature extraction and machine learning classifiers
Vijaya Kumar Velpula, Diksha Sharma, Lakhan Dev Sharma, et al.
IET Image Processing (2024) Vol. 18, Iss. 13, pp. 3827-3853
Open Access | Times Cited: 7
GLIM-Net: Chronic Glaucoma Forecast Transformer for Irregularly Sampled Sequential Fundus Images
Xiaoyan Hu, Lingxiao Zhang, Lin Gao, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 6, pp. 1875-1884
Open Access | Times Cited: 16
Analysis of Deep Learning Techniques for Prediction of Eye Diseases: A Systematic Review
Akanksha Bali, Vibhakar Mansotra
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 487-520
Closed Access | Times Cited: 15
Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma
Cemil Közkurt, Aykut Dıker, Abdullah Elen, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 11, pp. 15485-15516
Closed Access | Times Cited: 4
AES-Net: An adapter and enhanced self-attention guided network for multi-stage glaucoma classification using fundus images
Dipankar Das, Deepak Ranjan Nayak, Ram Bilas Pachori
Image and Vision Computing (2024) Vol. 146, pp. 105042-105042
Closed Access | Times Cited: 4
Enhanced Glaucoma Detection Using U-Net and U-Net+ Architectures Using Deep Learning Techniques
Pradeep Kumar, Pramod Rangaiah, Robin Augustine
(2025)
Closed Access
A deep retinal vision network for glaucoma classification
Krishna Santosh Naidana, Madhu Hasitha Manne, Hema Yalavarthi
Deleted Journal (2025) Vol. 7, Iss. 3
Open Access
Machine Learning Based Prediction of Retinopathy Diseases Using Segmented Retinal Images
Sushil Kumar Saroj, Rakesh Kumar, N. P. Singh
ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL (2025) Vol. 14, pp. e31737-e31737
Open Access
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
Vision transformer based interpretable metabolic syndrome classification using retinal Images
Tae Kwan Lee, So Yeon Kim, Hyuk Jin Choi, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Adaptive cluster-based superpixel segmentation and BMWMMBO-based DCNN classification for glaucoma detection
B. S. Sujithra, S. Albert Jerome
Signal Image and Video Processing (2023) Vol. 18, Iss. 1, pp. 465-474
Closed Access | Times Cited: 7
Glaucoma Detection Using Explainable AI and Deep Learning
Najeeba Afreen, Rajanikanth Aluvalu
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 2
Introduction to the special section on Biomedical Data and Image Analysis using Advanced Machine Learning Methods
Gaurav Garg, Simranjit Kaur
Computers & Electrical Engineering (2024) Vol. 114, pp. 109087-109087
Closed Access | Times Cited: 1
Advancing Glaucoma Diagnosis: Employing Confidence-Calibrated Label Smoothing Loss for Model Calibration
Midhula Vijayan, Deepthi K Prasad, Venkatakrishnan Srinivasan
Ophthalmology Science (2024) Vol. 4, Iss. 6, pp. 100555-100555
Open Access | Times Cited: 1
A residual network integrated with multimodal fundus features for automatic glaucoma classification
Sangeetha Jayaraman, D. Rekha, M. Priyanka
Computers & Electrical Engineering (2024) Vol. 122, pp. 109880-109880
Closed Access | Times Cited: 1
DEEP PERONA–MALIK DIFFUSIVE MEAN SHIFT IMAGE CLASSIFICATION FOR EARLY GLAUCOMA AND STARGARDT DISEASE DETECTION
Senthil Kumar Arunachalam, Somasundaram Devaraj, Bhavani Sridharan
Malaysian Journal of Computer Science (2023) Vol. 36, Iss. 1, pp. 14-39
Open Access | Times Cited: 3
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