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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:

An audit of uncertainty in multi-scale cardiac electrophysiology models
Richard H. Clayton, Yasser Aboelkassem, Chris D. Cantwell, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2020) Vol. 378, Iss. 2173, pp. 20190335-20190335
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Building Digital Twins for Cardiovascular Health: From Principles to Clinical Impact
Kaan Sel, Deen Osman, Fatemeh Zare, et al.
Journal of the American Heart Association (2024) Vol. 13, Iss. 19
Open Access | Times Cited: 10
Deep learning-based reduced order models in cardiac electrophysiology
Stefania Fresca, Andrea Manzoni, Luca Dede’, et al.
PLoS ONE (2020) Vol. 15, Iss. 10, pp. e0239416-e0239416
Open Access | Times Cited: 62
Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium
Li Cai, Lei Ren, Yongheng Wang, et al.
Royal Society Open Science (2021) Vol. 8, Iss. 1, pp. 201121-201121
Open Access | Times Cited: 50
EP-PINNs: Cardiac Electrophysiology Characterisation Using Physics-Informed Neural Networks
Clara Herrero Martin, Alon Oved, Rasheda A. Chowdhury, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 8
Open Access | Times Cited: 30
Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation
Natalia A. Trayanova, Aurore Lyon, Julie K. Shade, et al.
Physiological Reviews (2023) Vol. 104, Iss. 3, pp. 1265-1333
Open Access | Times Cited: 17
A fast computational model for the electrophysiology of the whole human heart
Giulio Del Corso, Roberto Verzicco, Francesco Viola
Journal of Computational Physics (2022) Vol. 457, pp. 111084-111084
Open Access | Times Cited: 22
lifex-ep: a robust and efficient software for cardiac electrophysiology simulations
Pasquale Claudio Africa, Roberto Piersanti, Francesco Regazzoni, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 14
Considering discrepancy when calibrating a mechanistic electrophysiology model
Chon Lok Lei, Sanmitra Ghosh, David J. Whittaker, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2020) Vol. 378, Iss. 2173, pp. 20190349-20190349
Open Access | Times Cited: 36
Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics
Alan Lazarus, David R. Dalton, Dirk Husmeier, et al.
Biomechanics and Modeling in Mechanobiology (2022) Vol. 21, Iss. 3, pp. 953-982
Open Access | Times Cited: 16
The fickle heart: uncertainty quantification in cardiac and cardiovascular modelling and simulation
Gary R. Mirams, Steven Niederer, Richard H. Clayton
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2020) Vol. 378, Iss. 2173, pp. 20200119-20200119
Open Access | Times Cited: 24
Geometric uncertainty in patient-specific cardiovascular modeling with convolutional dropout networks
Gabriel D. Maher, Casey Fleeter, Daniele E. Schiavazzi, et al.
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 386, pp. 114038-114038
Open Access | Times Cited: 22
Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning
Stefano Pagani, Andrea Manzoni
International Journal for Numerical Methods in Biomedical Engineering (2021) Vol. 37, Iss. 6
Open Access | Times Cited: 22
Personalized biomechanical insights in atrial fibrillation: opportunities & challenges
Åshild Telle, Clarissa Bargellini, Yaacoub Chahine, et al.
Expert Review of Cardiovascular Therapy (2023) Vol. 21, Iss. 11, pp. 817-837
Closed Access | Times Cited: 5
Neural Network Differential Equations For Ion Channel Modelling
Chon Lok Lei, Gary R. Mirams
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 12
Computational modeling approaches to cAMP/PKA signaling in cardiomyocytes
Kimberly J. McCabe, Padmini Rangamani
Journal of Molecular and Cellular Cardiology (2021) Vol. 154, pp. 32-40
Closed Access | Times Cited: 11
Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment
Hui Jia Farm, Michael Clerx, Fergus Cooper, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 4
Editorial: Diagnosis, monitoring, and treatment of heart rhythm: new insights and novel computational methods
Jieyun Bai, Jichao Zhao, Haibo Ni, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 4
Deep Learning‐Based Reduced Order Models for Cardiac Electrophysiology
Stefania Fresca, Luca Dede’, Andrea Manzoni
(2024), pp. 115-147
Open Access | Times Cited: 1
Using UncertainSCI to Quantify Uncertainty in Cardiac Simulations
Lindsay Rupp, Zexin Liu, Jake Bergquist, et al.
Computing in cardiology (2020)
Open Access | Times Cited: 11
Data integration for the numerical simulation of cardiac electrophysiology
Stefano Pagani, Luca Dede’, Andrea Manzoni, et al.
Pacing and Clinical Electrophysiology (2021) Vol. 44, Iss. 4, pp. 726-736
Open Access | Times Cited: 10
Translational applications of computational modelling for patients with cardiac arrhythmias
Savannah Bifulco, Nazem Akoum, Patrick M. Boyle
Heart (2020) Vol. 107, Iss. 6, pp. 456-461
Open Access | Times Cited: 10
Variability in electrophysiological properties and conducting obstacles controls re-entry risk in heterogeneous ischaemic tissue
Brodie Lawson, Rafael Sachetto Oliveira, Lucas Arantes Berg, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2020) Vol. 378, Iss. 2173, pp. 20190341-20190341
Open Access | Times Cited: 9
Space–time shape uncertainties in the forward and inverse problem of electrocardiography
Lia Gander, Rolf Krause, Michael Multerer, et al.
International Journal for Numerical Methods in Biomedical Engineering (2021) Vol. 37, Iss. 10
Open Access | Times Cited: 8
Simultaneous data assimilation and cardiac electrophysiology model correction using differentiable physics and deep learning
Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, et al.
Interface Focus (2023) Vol. 13, Iss. 6
Open Access | Times Cited: 3
Global Sensitivity Analysis and Uncertainty Quantification for Simulated Atrial Electrocardiograms
Benjamin Winkler, Claudia Nagel, Nando Farchmin, et al.
Metrology (2022) Vol. 3, Iss. 1, pp. 1-28
Open Access | Times Cited: 5
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