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:

OCT-based deep-learning models for the identification of retinal key signs
Inferrera Leandro, Borsatti Lorenzo, Aleksandar Miladinović, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 16

Showing 16 citing articles:

OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Mikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 23

A Survey on Optical Coherence Tomography—Technology and Application
Ali Mokhtari, Bogdan Maris, Paolo Fiorini
Bioengineering (2025) Vol. 12, Iss. 1, pp. 65-65
Open 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 Approach Predicts Longitudinal Retinal Nerve Fiber Layer Thickness Changes
Jalil Jalili, Evan Walker, Christopher Bowd, et al.
Bioengineering (2025) Vol. 12, Iss. 2, pp. 139-139
Open Access

Todo lo que Debo Saber Sobre las Bases de la Angiotomografía (OCT-A) de Retina
Antonio López Bolaños, Daniel Muñoz
Highlights of Vitreoretina (2025) Vol. 17, Iss. 4, pp. 4-16
Closed Access

Recent Optical Coherence Tomography (OCT) Innovations for Increased Accessibility and Remote Surveillance
Brigid C. Devine, Alan B. Dogan, Warren M. Sobol
Bioengineering (2025) Vol. 12, Iss. 5, pp. 441-441
Open Access

Diagnostic report generation for macular diseases by natural language processing algorithms
Xufeng Zhao, Chunshi Li, Jingyuan Yang, et al.
British Journal of Ophthalmology (2025), pp. bjo-326064
Closed Access

OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis
Samya Acharja, Md. Zahid Hasan, Farjana Haque Chamok, et al.
Cognitive Computation (2025) Vol. 17, Iss. 3
Open Access

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: 3

Multimodal LLMs for Retinal Disease Diagnosis via OCT: Few-Shot vs Single-Shot Learning
Reem Agbareia, Mahmud Omar, Ofira Zloto, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

Teleophthalmology in retinal diseases
Kamal El-Badawi, Christine Goodchild, Hadassah Drukarch, et al.
Biomedical engineering (2024)
Open Access | Times Cited: 1

OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Mikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1

Association of Hyperautofluorescence Signals with Geographic Atrophy Progression in the METforMIN Trial
Abu Tahir Taha, Liangbo L. Shen, Antonio Maieli Diaz, et al.
Ophthalmology Science (2024) Vol. 5, Iss. 1, pp. 100620-100620
Open Access

Using Diffusion Models for Data Augmentation on Limited Rodent OCT Datasets
Fernando García-Torres, Rocío del Amor, Sandra Morales-Martínez, et al.
Lecture notes in computer science (2024), pp. 313-324
Closed Access

Detection of Disease Features on Retinal OCT Scans Using RETFound
Katherine Du, A R Nair, Stavan Shah, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1186-1186
Open Access

Evaluating deep learning models for classifying OCT images with limited data and noisy labels
Aleksandar Miladinović, Alessandro Biscontin, Miloš Ajčević, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

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