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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:

Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili, Jérôme Lapuyade‐Lahorgue, Su Ruan
Journal of Imaging (2023) Vol. 9, Iss. 4, pp. 81-81
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications
Luís Coelho
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1435-1435
Open Access | Times Cited: 159
Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024
Alessandro Carriero, Léon Groenhoff, Elizaveta Vologina, et al.
Diagnostics (2024) Vol. 14, Iss. 8, pp. 848-848
Open Access | Times Cited: 27
Comparative analysis of vision transformers and convolutional neural networks in osteoporosis detection from X-ray images
Ali Sarmadi, Zahra Sadat Razavi, André J. van Wijnen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 456-456
Open Access | Times Cited: 5
Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges
Mahmoud K. Ibrahim, Yasmina Al Khalil, Sina Amirrajab, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109834-109834
Open Access | Times Cited: 5
Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions
Panagiotis Alimisis, Ioannis Mademlis, Panagiotis Radoglou-Grammatikis, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 3
Dilated SE-DenseNet for brain tumor MRI classification
Yu M, Jiwook Kim, Lena Podina, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
How Artificial Intelligence is Shaping Medical Imaging Technology: A Survey of Innovations and Applications
Luís Coelho
(2023)
Open Access | Times Cited: 30
Variational Autoencoders for Data Augmentation in Clinical Studies
Dimitris Papadopoulos, Vangelis Karalis
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8793-8793
Open Access | Times Cited: 27
A comprehensive survey for generative data augmentation
Y. Chen, Zihui Yan, Yunjie Zhu
Neurocomputing (2024) Vol. 600, pp. 128167-128167
Closed Access | Times Cited: 8
Large language model assisted fine-grained knowledge graph construction for robotic fault diagnosis
Xingming Liao, Chong Chen, Zhuowei Wang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103134-103134
Closed Access | Times Cited: 1
An Advanced Deep Learning Framework for Multi-Class Diagnosis from Chest X-ray Images
Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris, et al.
J — Multidisciplinary Scientific Journal (2024) Vol. 7, Iss. 1, pp. 48-71
Open Access | Times Cited: 7
Application and Potential of Artificial Intelligence in Heart Failure: Past, Present, and Future
Minjae Yoon, Jin Joo Park, Taeho Hur, et al.
International Journal of Heart Failure (2023) Vol. 6, Iss. 1, pp. 11-11
Open Access | Times Cited: 15
Enhancing Fetal Anomaly Detection in Ultrasonography Images: A Review of Machine Learning-Based Approaches
Ramin Yousefpour Shahrivar, Fatemeh Karami, Ebrahim Karami
Biomimetics (2023) Vol. 8, Iss. 7, pp. 519-519
Open Access | Times Cited: 13
Combining State-of-the-Art Pre-Trained Deep Learning Models: A Noble Approach for Skin Cancer Detection Using Max Voting Ensemble
Md Hossain, Md. Moazzem Hossain, Most. Binoee Arefin, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 89-89
Open Access | Times Cited: 13
How widespread use of generative AI for images and video can affect the environment and the science of ecology
Matthias C. Rillig, India Mansour, Stefan Hempel, et al.
Ecology Letters (2024) Vol. 27, Iss. 3
Open Access | Times Cited: 5
A review on leukemia detection and classification using Artificial Intelligence-based techniques
Aswathy Elma Aby, S. Salaji, K. Anilkumar, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109446-109446
Closed Access | Times Cited: 5
Artificial-Intelligence-Enhanced Analysis of In Vivo Confocal Microscopy in Corneal Diseases: A Review
Katarzyna Kryszan, Adam Wylęgała, Magdalena Kijonka, et al.
Diagnostics (2024) Vol. 14, Iss. 7, pp. 694-694
Open Access | Times Cited: 4
GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes
İbrahim Ethem Hamamcı, Sezgin Er, Anjany Sekuboyina, et al.
Lecture notes in computer science (2024), pp. 126-143
Closed Access | Times Cited: 4
EEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks
Bahman Abdi‐Sargezeh, Sepehr Shirani, Antonio Valentı́n, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 494-494
Open Access
Domain shift, domain adaptation, and generalization
Jonas Richiardi, Veronica Ravano, Nataliia Molchanova, et al.
Elsevier eBooks (2025), pp. 127-151
Closed Access
GeoAI-based drainage crossing detection for elevation-derived hydrographic mapping
Michael Edidem, Ruopu Li, Di Wu, et al.
Environmental Modelling & Software (2025), pp. 106338-106338
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
The potential of generative AI with prostate-specific membrane antigen (PSMA) PET/CT: challenges and future directions
Md Zobaer Islam, Ergi Spiro, Pew‐Thian Yap, et al.
Medical Review (2025)
Open Access
Similarity and quality metrics for MR image-to-image translation
Melanie Dohmen, Mark A. Klemens, Ivo M. Baltruschat, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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