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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:

A vision transformer architecture for the automated segmentation of retinal lesions in spectral domain optical coherence tomography images
Daniel Philippi, Kai Rothaus, Mauro Castelli
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

Transformers in medical imaging: A survey
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102802-102802
Open Access | Times Cited: 562
Llama 2: Early Adopters' Utilization of Meta's New Open-Source Pretrained Model
Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios Κ. Nasiopoulos
(2023)
Open Access | Times Cited: 23
Advancements in medical image segmentation: A review of transformer models
S. S. Kumar
Computers & Electrical Engineering (2025) Vol. 123, pp. 110099-110099
Closed Access
Explainable Deep Learning for Glaucomatous Visual Field Prediction: Artifact Correction Enhances Transformer Models
Kornchanok Sriwatana, Chanon Puttanawarut, Yanin Suwan, et al.
Translational Vision Science & Technology (2025) Vol. 14, Iss. 1, pp. 22-22
Open Access
Enhancing lung cancer diagnostic accuracy and reliability with LCDViT: an expressly developed vision transformer model featuring explainable AI
Amol Satsangi, K. Srinivas, A. Charan Kumari
Multimedia Tools and Applications (2025)
Closed Access
Automated Foveal Avascular Zone Segmentation in Optical Coherence Tomography Angiography Across Multiple Eye Diseases Using Knowledge Distillation
Peter Racioppo, Aya Alhasany, Nhu‐An Pham, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 334-334
Open Access
Llama 2: Early Adopters' Utilization of Meta's New Open-Source Pretrained Model
Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios Κ. Nasiopoulos
(2023)
Open Access | Times Cited: 10
A comprehensive review of artificial intelligence models for screening major retinal diseases
Bilal Hassan, Hina Raja, Taimur Hassan, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 3
A deep learning approach to explore the association of age‐related macular degeneration polygenic risk score with retinal optical coherence tomography: A preliminary study
Adam Sendecki, Daniel Ledwoń, Julia Nycz, et al.
Acta Ophthalmologica (2024) Vol. 102, Iss. 7
Closed Access | Times Cited: 3
Multi-Dataset Comparison of Vision Transformers and Convolutional Neural Networks for Detecting Glaucomatous Optic Neuropathy from Fundus Photographs
Elizabeth E. Hwang, Dake Chen, Ying Han, et al.
Bioengineering (2023) Vol. 10, Iss. 11, pp. 1266-1266
Open Access | Times Cited: 8
Artificial intelligence for diagnosing exudative age-related macular degeneration
Chaerim Kang, Jui‐En Lo, Helen Zhang, et al.
Cochrane library (2024) Vol. 2024, Iss. 10
Closed Access | Times Cited: 2
Discriminative, generative artificial intelligence, and foundation models in retina imaging
Paisan Ruamviboonsuk, Niracha Arjkongharn, Nattaporn Vongsa, et al.
Taiwan Journal of Ophthalmology (2024) Vol. 14, Iss. 4, pp. 473-485
Open Access | Times Cited: 2
Vision transformers: The next frontier for deep learning-based ophthalmic image analysis
Jo‐Hsuan Wu, Neslihan Dilruba Köseoğlu, Craig Jones, et al.
Saudi Journal of Ophthalmology (2023) Vol. 37, Iss. 3, pp. 173-178
Open Access | Times Cited: 5
Enhancing Organizing Pneumonia Diagnosis: A Novel Super-token Transformer Approach for Masson Body Segmentation
Jing-Tong Fu, Yi-Siang Tan, Pau-Choo Chung, et al.
In Vivo (2024) Vol. 38, Iss. 5, pp. 2239-2244
Open Access | Times Cited: 1
Efficient diagnostic classification of diverse pathologies through contextual eye movement data analysis with a novel hybrid architecture
Alae Eddine El Hmimdi, Themis Palpanas, Zoı̈ Kapoula
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Transformer-based cross-modal multi-contrast network for ophthalmic diseases diagnosis
Yang Yu, Hongqing Zhu
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 3, pp. 507-527
Closed Access | Times Cited: 4
Enhancing Retinal Disease Classification with Dual Scale Twin Vision Transformers using OCT Imaging
Prakash Kumar Karn, Waleed H. Abdulla
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (2023), pp. 2362-2369
Closed Access | Times Cited: 3
Vlfatrollout: Fully Transformer-Based Classifier for Retinal Oct Volumes
Marzieh Oghbaie, Teresa Araújo, Ursula Schmidt‐Erfurth, et al.
(2024)
Closed Access
Unveiling the Urban Morphology of Small Towns in the Eastern Qinba Mountains: Integrating Earth Observation and Morphometric Analysis
Xin Zhao, Zuobin Wu
Buildings (2024) Vol. 14, Iss. 7, pp. 2015-2015
Open Access
Self-supervised learning-enhanced deep learning method for identifying myopic maculopathy in high myopia patients
Juzhao Zhang, Fan Xiao, Haidong Zou, et al.
iScience (2024) Vol. 27, Iss. 8, pp. 110566-110566
Open Access
Harmonizing Unets: Attention Fusion module in cascaded-Unets for low-quality OCT image fluid segmentation
Zhuoyu Wu, Qinchen Wu, Wenqi Fang, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109223-109223
Closed Access
VLFATRollout: Fully transformer-based classifier for retinal OCT volumes
Marzieh Oghbaie, Teresa Araújo, Ursula Schmidt‐Erfurth, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 118, pp. 102452-102452
Open Access
MUMR: Mask-UnMask Regions Framework for AMD Grades Classification Based on Inter-regional Interactions
Ibrahim Abdelhalim, Mohamed Elsharkawy, Namuunaa Nadmid, et al.
Lecture notes in computer science (2024), pp. 213-223
Closed Access
Contextual Self-Attention Based UNet Architecture for Fluid Segmentation in Retinal OCT B-scans
Himashree Kalita, Samarendra Dandapat, P. Bora
(2024), pp. 1-8
Closed Access
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