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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:

Comprehensive Uncertainty Quantification and Sensitivity Analysis for Cardiac Action Potential Models
Pras Pathmanathan, Jonathan M. Cordeiro, Richard A. Gray
Frontiers in Physiology (2019) Vol. 10
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

The ‘Digital Twin’ to enable the vision of precision cardiology
Jorge Corral Acero, Francesca Margara, M Marciniak, et al.
European Heart Journal (2020) Vol. 41, Iss. 48, pp. 4556-4564
Open Access | Times Cited: 515
Towards developing multiscale-multiphysics models and their surrogates for digital twins of metal additive manufacturing
Dayalan Gunasegaram, Anthony B. Murphy, Amanda S. Barnard, et al.
Additive manufacturing (2021) Vol. 46, pp. 102089-102089
Open Access | Times Cited: 104
Credible practice of modeling and simulation in healthcare: ten rules from a multidisciplinary perspective
Ahmet Erdemir, Lealem Mulugeta, Joy P. Ku, et al.
Journal of Translational Medicine (2020) Vol. 18, Iss. 1
Open Access | Times Cited: 90
Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility
Flora T. Musuamba, Ine Skottheim Rusten, R Lesage, et al.
CPT Pharmacometrics & Systems Pharmacology (2021) Vol. 10, Iss. 8, pp. 804-825
Open Access | Times Cited: 85
Creation and application of virtual patient cohorts of heart models
Steven Niederer, 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. 20190558-20190558
Open Access | Times Cited: 79
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
3D‐Printed Synthetic Hydroxyapatite Scaffold With In Silico Optimized Macrostructure Enhances Bone Formation In Vivo
Dorien Van hede, Bingbing Liang, Sandy Anania, et al.
Advanced Functional Materials (2021) Vol. 32, Iss. 6
Closed Access | Times Cited: 54
A machine learning method for real-time numerical simulations of cardiac electromechanics
Francesco Regazzoni, Matteo Salvador, Luca Dede’, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 393, pp. 114825-114825
Open Access | Times Cited: 31
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
Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats
Stefano Longobardi, Alexandre Lewalle, Sam Coveney, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2020) Vol. 378, Iss. 2173, pp. 20190334-20190334
Open Access | Times Cited: 47
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
Virtual clinical QT exposure-response studies – A translational computational approach
Jazmín Aguado‐Sierra, Paula Dominguez-Gomez, Ani Amar, et al.
Journal of Pharmacological and Toxicological Methods (2024) Vol. 126, pp. 107498-107498
Open Access | Times Cited: 4
Navigating Uncertainty: A User-Perspective Survey of Trustworthiness of AI in Healthcare
Jaya Ojha, Oriana Presacan, Pedro G. Lind, et al.
ACM Transactions on Computing for Healthcare (2025)
Closed Access
Uncertainty in cardiovascular digital twins despite non-normal errors in 4D flow MRI: Identifying reliable biomarkers such as ventricular relaxation rate
Kajsa Tunedal, Tino Ebbers, Gunnar Cedersund
Computers in Biology and Medicine (2025) Vol. 188, pp. 109878-109878
Open Access
Incorporating social determinants of health into agent-based models of HIV transmission: methodological challenges and future directions
Anna Hotton, Pedro Nascimento de Lima, Arindam Fadikar, et al.
Frontiers in Epidemiology (2025) Vol. 5
Open Access
Sensitivity analysis of cardiac alternans in electrophysiology cell models: A Monte Carlo filtering approach
Rodrigo B. Pigozzo, Rodrigo Weber dos Santos, Bernardo Martins Rocha
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 4
Closed Access
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
Design and execution of a verification, validation, and uncertainty quantification plan for a numerical model of left ventricular flow after LVAD implantation
Alfonso Santiago, Constantine Butakoff, Beatriz Eguzkitza, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 6, pp. e1010141-e1010141
Open Access | Times Cited: 17
Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar
Suran K. Galappaththige, Richard A. Gray, Caroline Mendonça Costa, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 10, pp. e1010541-e1010541
Open Access | Times Cited: 17
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
Key aspects for effective mathematical modelling of fractional-diffusion in cardiac electrophysiology: A quantitative study
Nicole Cusimano, Alessio Gizzi, Flavio H. Fenton, et al.
Communications in Nonlinear Science and Numerical Simulation (2019) Vol. 84, pp. 105152-105152
Open Access | Times Cited: 23
Data-Driven Uncertainty Quantification for Cardiac Electrophysiological Models: Impact of Physiological Variability on Action Potential and Spiral Wave Dynamics
Pras Pathmanathan, Suran K. Galappaththige, Jonathan M. Cordeiro, et al.
Frontiers in Physiology (2020) Vol. 11
Open Access | Times Cited: 22
Quantitative analysis of variability in an integrated model of human ventricular electrophysiology and β-adrenergic signaling
Jingqi Q.X. Gong, Monica E. Susilo, Anna Sher, et al.
Journal of Molecular and Cellular Cardiology (2020) Vol. 143, pp. 96-106
Open Access | Times Cited: 21
Heart rhythm analysis using a nonlinear dynamics perspective
Augusto Luiz Cheffer de Melo, Marcelo A. Savi, Tiago Leite Pereira, et al.
Applied Mathematical Modelling (2021) Vol. 96, pp. 152-176
Closed Access | Times Cited: 19
Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators
Sam Coveney, Cesare Corrado, Jeremy E. Oakley, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 19
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