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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:

Wavelet scattering transform application in classification of retinal abnormalities using OCT images
Zahra Baharlouei, Hossein Rabbani, Gerlind Plonka
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

Wavelet-Based Compression Method for Scale-Preserving SWIR Hyperspectral Data
Hridoy Biswas, Rui Tang, Shamim Mollah, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Deep learning with adaptive convolutions for classification of retinal diseases via optical coherence tomography
K. Karthik, Manjunatha Mahadevappa
Image and Vision Computing (2024) Vol. 146, pp. 105044-105044
Closed Access | Times Cited: 4
A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis
Sadia Sultana Chowa, Md. Rahad Islam Bhuiyan, Israt Jahan Payel, et al.
Journal of Healthcare Informatics Research (2025) Vol. 9, Iss. 1, pp. 1-40
Open Access
Distributed training of foundation models for ophthalmic diagnosis
Sina Gholami, Fatema-E- Jannat, Atalie C. Thompson, et al.
Communications Engineering (2025) Vol. 4, Iss. 1
Open Access
Central serous retinopathy classification with deep learning-based multilevel feature extraction from optical coherence tomography images
Hüseyin Üzen, Hüseyin Fırat, Salih Taha Alperen Özçelik, et al.
Optics & Laser Technology (2025) Vol. 184, pp. 112519-112519
Closed Access
Integrating lightweight convolutional neural network with entropy-informed channel attention and adaptive spatial attention for OCT-based retinal disease classification
Mohamed Ahmed, Mohamed Shehata, Patricia Lasserre
Computers in Biology and Medicine (2025) Vol. 190, pp. 110071-110071
Open Access
Unsupervised machine learning analysis of optical coherence tomography radiomics features for predicting treatment outcomes in diabetic macular edema
Xuemei Liang, Sheng‐Wei Luo, Zhigao Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Stitched vision transformer for age-related macular degeneration detection using retinal optical coherence tomography images
Mohammad Mahdi Azizi, Setareh Abhari, Hedieh Sajedi
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0304943-e0304943
Open Access | Times Cited: 2
A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification
Roya Arian, Alireza Vard, Rahele Kafieh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Proposed Model for the Detection of Diabetic Retinopathy Using Convolutional Neural Networks
Carlos Torres, Pablo Torres, Wilfredo Ticona
Lecture notes in networks and systems (2024), pp. 270-286
Closed Access
Retinopathy Identification in OCT Images with A Semi-supervised Learning Approach via Complementary Expert Pooling and Expert-wise Batch Normalization
Arman Mohammad Nakib, Yuan Li, Yuemei Luo
(2024), pp. 170-174
Closed Access
Recent advances in the application of artificial intelligence in age-related macular degeneration
Yundi Gao, Fen Xiong, Jian Xiong, et al.
BMJ Open Ophthalmology (2024) Vol. 9, Iss. 1, pp. e001903-e001903
Open Access
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