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:

Coherent convolution neural network based retinal disease detection using optical coherence tomographic images
Pawan Kumar Upadhyay, Somil Rastogi, K. Vimal Kumar
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 10, pp. 9688-9695
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A Deep Learning-Based Framework for Retinal Disease Classification
Amit Choudhary, Savita Ahlawat, Shabana Urooj, et al.
Healthcare (2023) Vol. 11, Iss. 2, pp. 212-212
Open Access | Times Cited: 34

A deep feature fusion and selection‐based retinal eye disease detection from OCT images
Muhammad Junaid Umer, Muhammad Sharif, Mudassar Raza, et al.
Expert Systems (2023) Vol. 40, Iss. 6
Closed Access | Times Cited: 14

Multi-Stage Classification of Retinal OCT Using Multi-Scale Ensemble Deep Architecture
Oluwatunmise Akinniyi, Md Mahmudur Rahman, Harpal S. Sandhu, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 823-823
Open Access | Times Cited: 14

Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review
Pavithra Kodiyalbail Chakrapani, Preetham Kumar, M. Kalaiselvi Geetha, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 1, pp. 157-188
Closed Access | Times Cited: 13

CLAHE-CapsNet: Efficient retina optical coherence tomography classification using capsule networks with contrast limited adaptive histogram equalization
Michael Opoku, Benjamin Asubam Weyori, Adebayo Felix Adekoya, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0288663-e0288663
Open Access | Times Cited: 13

Deep learning based retinal disease classification using an autoencoder and generative adversarial network
G. Jeyasri, R. Karthiyayini
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107852-107852
Closed Access

Enhanced CNV classification in OCT images: Leveraging efficiently fine-tuned MobileNet and VGG19 models for choroidal neovascularization (CNV) detection
Jalpesh Vasa, Bimal Patel, Megha Goriya, et al.
AIP conference proceedings (2025) Vol. 3255, pp. 020001-020001
Closed Access

Deep Learning Architectures for OCT Images Retinal Disease Classification
Ranjitha Rajan, S. N. Kumar
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access

Detection of retinal diseases from OCT images using a VGG16 and transfer learning
W. J. Jaimes, Wilson J. Arenas, Humberto J. Navarro, et al.
Deleted Journal (2025) Vol. 7, Iss. 3
Open Access

Deep convolutional neural network for multi-class detection of diabetic Macular Edema
Enas Hamood Al-Saadi, Ali Yakoob Al-Sultan, Asaad Noori Hashim
AIP conference proceedings (2025) Vol. 3282, pp. 030015-030015
Closed Access

Retinopathy screening from OCT imagery via deep learning
Ramsha Ahmed, Bilal Hassan, Ali Khan, et al.
Elsevier eBooks (2024), pp. 1-20
Closed Access | Times Cited: 2

A Comparative Investigation of Transfer Learning Frameworks Using OCT Pictures for Retinal Disorder Identification
Ghadah Alwakid, Mamoona Humayun, Walaa Gouda
IEEE Access (2024) Vol. 12, pp. 138510-138518
Open Access | Times Cited: 2

Review On Ocular Disease Recognition Using Deep Learning
Sivarathri Susrutha, Robin Prakash Mathur
(2023), pp. 316-321
Closed Access | Times Cited: 4

In-depth analysis of research hotspots and emerging trends in AI for retinal diseases over the past decade
Mingkai Guo, Di Gong, Weihua Yang
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1

Classification of Choroidal Neovascularization (CNV) from Optical Coherence Tomography (OCT) Images Using Efficient Fine-Tuned ResNet and DenseNet Deep Learning Models
Megha Goriya, Zeel Amrutiya, Ayush Ghadiya, et al.
Lecture notes in networks and systems (2023), pp. 457-470
Closed Access | Times Cited: 3

OCT DEEPNET 1—A Deep Learning Approach for Retinal OCT Image Classification
Ranjitha Rajan, S. N. Kumar
Lecture notes in networks and systems (2023), pp. 689-701
Closed Access | Times Cited: 2

A Review on Applications of Computer Vision
Gaurav Singh, Parth Pidadi, Dnyaneshwar S. Malwad
Lecture notes in networks and systems (2023), pp. 464-479
Closed Access | Times Cited: 2

Automatic Detection and Classification of Retinal Disease using Improved Firefly Algorithm-based Gated Recurrent Unit
Manju Mohan, Kassem Al-Attabi, V. Malathy, et al.
(2024), pp. 1-5
Closed Access

A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images
S. Vishnu Priyan, R. Vinod Kumar, Chitti R. Moorthy, et al.
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 4, pp. 1011-1039
Closed Access

RetMobileNet: A New Deep Learning Approach for Multi-Class Eye Disease Identification
Anjar Wanto, Yuhandri Yunus, Okfalisa Okfalisa
Revue d intelligence artificielle (2024) Vol. 38, Iss. 4
Open Access

Enhancing Deep Learning Models for Eye Disease Classification
Patil Pallavi Shamrao, Brijendra Gupta
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 31-40
Open Access

DeepRetNet: Retinal Disease Classification using Attention UNet++ based Segmentation and Optimized Deep Learning Technique
W Nancy, R. R. Prianka, R. Porselvi, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

An Efficient Tournament Based Levy Flight Multiverse Optimization for Feature Selection Using Optical Coherence Tomography
Jyothirmai Joshi, Malini Mudigonda, Raghava Morusupalli
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 6, pp. 298-311
Open Access | Times Cited: 1

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