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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:

Cross-modal autoencoder framework learns holistic representations of cardiovascular state
Adityanarayanan Radhakrishnan, Samuel Friedman, Shaan Khurshid, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Artificial Intelligence in Cardiovascular Care—Part 2: Applications
Sneha S. Jain, Pierre Elias, Timothy J. Poterucha, et al.
Journal of the American College of Cardiology (2024) Vol. 83, Iss. 24, pp. 2487-2496
Closed Access | Times Cited: 16
Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management
Evan D. Muse, Eric J. Topol
Cell Metabolism (2024) Vol. 36, Iss. 4, pp. 670-683
Closed Access | Times Cited: 12
Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction
Taedong Yun, Justin Cosentino, Babak Behsaz, et al.
Nature Genetics (2024) Vol. 56, Iss. 8, pp. 1604-1613
Open Access | Times Cited: 11
TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology
Feng-ao Wang, Zhenfeng Zhuang, Feng Gao, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 9
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging
Özgün Turgut, Philip Müller, Paul Hager, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103451-103451
Closed Access | Times Cited: 1
Cardiovascular care with digital twin technology in the era of generative artificial intelligence
Phyllis Thangaraj, S. Benson, Evangelos K. Oikonomou, et al.
European Heart Journal (2024)
Closed Access | Times Cited: 6
Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes
Julian Libiseller-Egger, Jody Phelan, Zachi I. Attia, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 22
Machine learning integrative approaches to advance computational immunology
Fabiola Curion, Fabian J. Theis
Genome Medicine (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Chronic Disease Modeling
WayWay M. Hlaing, Yiliang Zhu
Elsevier eBooks (2024), pp. 405-413
Closed Access | Times Cited: 5
A generalizable normative deep autospecific brain feature, the higher the average difference and the encoder for brain morphological anomaly detection: Application to the multi-site StratiBip dataset on bipolar disorder in an external validation framework
Inês Won Sampaio, Emma Tassi, Marcella Bellani, et al.
Artificial Intelligence in Medicine (2025) Vol. 161, pp. 103063-103063
Closed Access
Prediction of sudden cardiac death using artificial intelligence: Current status and future directions
Maarten Z H Kolk, Samuel Ruipérez-Campillo, Arthur A. M. Wilde, et al.
Heart Rhythm (2024) Vol. 22, Iss. 3, pp. 756-766
Open Access | Times Cited: 3
Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features
Frederick M. Howard, Hanna M. Hieromnimon, Siddhi Ramesh, et al.
Science Advances (2024) Vol. 10, Iss. 46
Open Access | Times Cited: 3
The Use of Artificial Intelligence to Predict the Development of Atrial Fibrillation
Daniel Pipilas, Samuel Friedman, Shaan Khurshid
Current Cardiology Reports (2023) Vol. 25, Iss. 5, pp. 381-389
Open Access | Times Cited: 7
Deep Learning of radiology-genomics integration for computational oncology: A mini review
Feng-ao Wang, Y Li, Tao Zeng
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2708-2716
Open Access | Times Cited: 2
Multimodal explainable artificial intelligence identifies patients with non-ischaemic cardiomyopathy at risk of lethal ventricular arrhythmias
Maarten Z H Kolk, Samuel Ruipérez-Campillo, Cornelis P. Allaart, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Designing medical artificial intelligence systems for global use: focus on interoperability, scalability, and accessibility
Evangelos K. Oikonomou, Rohan Khera
Hellenic Journal of Cardiology (2024)
Open Access | Times Cited: 2
Novel multi-omics deconfounding variational autoencoders can obtain meaningful disease subtyping
Zuqi Li, Sonja Katz, Edoardo Saccenti, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features
Frederick M. Howard, Hanna M. Hieromnimon, Siddhi Ramesh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images
Y. Zhang, Chen Chen, Suprosanna Shit, et al.
Lecture notes in computer science (2024), pp. 359-369
Closed Access | Times Cited: 1
Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features
Zhengyao Ding, Yujian Hu, Ziyu Li, et al.
Lecture notes in computer science (2024), pp. 109-119
Closed Access | Times Cited: 1
Unsupervised representation learning improves genomic discovery and risk prediction for respiratory and circulatory functions and diseases
Taedong Yun, Justin Cosentino, Babak Behsaz, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Exploring multi-omics latent embedding spaces for characterizing tumor heterogeneity and tumoral fitness effects
Feng-ao Wang, Junwei Liu, Feng Gao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
COMPRER: A MULTIMODAL MULTI-OBJECTIVE PRETRAINING FRAMEWORK FOR ENHANCED MEDICAL IMAGE REPRESENTATION
Guy Lutsker, Hagai Rossman, Nastya Godneva, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A generalizable normative deep autoencoder for brain morphological anomaly detection: application to the multi-site StratiBip dataset on bipolar disorder in an external validation framework.
Inês Won Sampaio, Emma Tassi, Marcella Bellani, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Unsupervised cardiac MRI phenotyping with 3D diffusion autoencoders reveals novel genetic insights
Sara Ometto, Soumick Chatterjee, Andrea Mario Vergani, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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