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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:

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

Showing 1-25 of 27 citing articles:

EXNet: (2+1)D Extreme Xception Net for Hyperspectral Image Classification
Usman Ghous, Muhammad Shahzad Sarfraz, Muhammad Ahmad, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5159-5172
Open Access | Times Cited: 8
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
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
Automated polyp segmentation in colonoscopy images via deep network with lesion-aware feature selection and refinement
Guanghui Yue, Wanwan Han, Siying Li, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103846-103846
Closed Access | Times Cited: 25
Mixed‐decomposed convolutional network: A lightweight yet efficient convolutional neural network for ocular disease recognition
Xiaoqing Zhang, Xiao Wu, Zunjie Xiao, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 9, Iss. 2, pp. 319-332
Open Access | Times Cited: 13
AI for glaucoma, Are we reporting well? a systematic literature review of DECIDE-AI checklist adherence
Benedict Leonard‐Hawkhead, Bethany E. Higgins, David M. Wright, et al.
Eye (2025)
Open Access
Automatic Multilabel Classification of Multiple Fundus Diseases Based on Convolutional Neural Network With Squeeze-and-Excitation Attention
Zhenzhen Lu, Jingpeng Miao, Jingran Dong, et al.
Translational Vision Science & Technology (2023) Vol. 12, Iss. 1, pp. 22-22
Open Access | Times Cited: 11
Enhanced Glaucoma Detection Using U-Net and U-Net+ Architectures Using Deep Learning Techniques
Pradeep Kumar, Pramod Rangaiah, Robin Augustine
(2025)
Closed Access
Automatic classification of retinal diseases with transfer learning-based lightweight convolutional neural network
Zhenzhen Lu, Jingpeng Miao, Jingran Dong, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104365-104365
Closed Access | Times Cited: 18
A Novel Approach for Prediction of Lung Disease Using Chest X-ray Images Based on DenseNet and MobileNet
Adem Tekerek, Ismael Abdullah Mohammed Al-Rawe
Wireless Personal Communications (2023)
Open Access | Times Cited: 10
Automated classification of choroidal neovascularization, diabetic macular edema, and drusen from retinal OCT images using vision transformers: a comparative study
Said Akça, Zeynep Garip, Ekin Ekıncı, et al.
Lasers in Medical Science (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 2
OCT Images Diagnosis Based on Deep Learning – A Review
Abdo Sulaiman Abdi, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 2
FundusGAN: Fundus image synthesis based on semi-supervised learning
Sangil Ahn, Su Jeong Song, Jitae Shin
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105289-105289
Closed Access | Times Cited: 5
IMoVR-Net: A robust interpretable network for multi-ocular lesion recognition from TAO facial images
Haipeng Zhu, Hong He, Huifang Zhou
Computers in Biology and Medicine (2023) Vol. 168, pp. 107771-107771
Closed Access | Times Cited: 3
A Survey of Glaucoma Detection Algorithms using Fundus and OCT Images
Riley Kiefer, Jessica Steen, Muhammad Adeel Abid, et al.
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (2022), pp. 0191-0196
Closed Access | Times Cited: 5
Classification of ocular diseases using transfer learning approaches and glaucoma severity grading
D. Selvathi
Elsevier eBooks (2023), pp. 1-15
Closed Access | Times Cited: 2
A multi-scale convolutional neural network with adaptive weight fusion strategy for assisting glaucoma screening
Xugang Zhang, Mo Shen, Lujiang Zhao, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106775-106775
Closed Access
Matching fusion framework on multi-modal data for glaucoma severity diagnosis
Sanli Yi, Xueli Feng
Computers & Electrical Engineering (2024) Vol. 123, pp. 109982-109982
Closed Access
Early diagnosis of Alzhiemer’s disease using wavelet-pooling based deep convolutional neural network
Manu Raju, Varun P. Gopi, Anitha Venugopal, et al.
Sadhana (2023) Vol. 48, Iss. 3
Closed Access | Times Cited: 1
Effects of Open-Source Image Preprocessing on Glaucoma and Glaucoma Suspect Fundus Image Differentiation with CNN
Mustafa Ege Şeker, Yılmaz Onat Köylüoğlu, Ali Rıza Cenk Çelebi, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 2
AdaRes: ResNet50 with AdaSwarm for Glaucoma Classification & Detection
Sudeshna Pattanaik, Subhasikta Behera, Pratyusa Kumar Dwibedy, et al.
2022 3rd International Conference for Emerging Technology (INCET) (2022)
Closed Access | Times Cited: 2
Automatic Classification of Retinal Diseases with Transfer Learning-Based Lightweight Convolutional Neural Network
Zhenzhen Lu, Jingpeng Miao, Jingran Dong, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 2
Image Recognition Based on the Depth-Wise Separable Convolution and Softpool
Linlin Wang, Xiaoyu Fang, Tao Hong, et al.
2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI) (2022), pp. 147-152
Closed Access | Times Cited: 2
MULTI-SCALE DIRECTED ACYCLIC GRAPH-CNN FOR AUTOMATED CLASSIFICATION OF DIABETIC RETINOPATHY FROM OCT IMAGES
A. P. Sunija, Adithya K. Krishna, Varun P. Gopi, et al.
Biomedical Engineering Applications Basis and Communications (2022) Vol. 34, Iss. 05
Closed Access | Times Cited: 1
D-DAGNet: AN IMPROVED HYBRID DEEP NETWORK FOR AUTOMATED CLASSIFICATION OF GLAUCOMA FROM OCT IMAGES
A. P. Sunija, Varun P. Gopi, Adithya K. Krishna
Biomedical Engineering Applications Basis and Communications (2022) Vol. 35, Iss. 01
Closed Access | Times Cited: 1
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