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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:

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

Showing 1-25 of 47 citing articles:

Gaussian process emulation of spatio-temporal outputs of a 2D inland flood model
James Donnelly, Soroush Abolfathi, Jonathan Pearson, et al.
Water Research (2022) Vol. 225, pp. 119100-119100
Open Access | Times Cited: 102
Physics-informed neural networks as surrogate models of hydrodynamic simulators
James Donnelly, Alireza Daneshkhah, Soroush Abolfathi
The Science of The Total Environment (2023) Vol. 912, pp. 168814-168814
Open Access | Times Cited: 69
An electromechanics-driven fluid dynamics model for the simulation of the whole human heart
Alberto Zingaro, Michele Bucelli, Roberto Piersanti, et al.
Journal of Computational Physics (2024) Vol. 504, pp. 112885-112885
Open Access | Times Cited: 20
Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators
Marina Strocchi, Stefano Longobardi, Christoph M. Augustin, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 6, pp. e1011257-e1011257
Open Access | Times Cited: 27
Bridging the gap between mechanistic biological models and machine learning surrogates
Ioana M. Gherman, Zahraa S. Abdallah, Wei Pang, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 4, pp. e1010988-e1010988
Open Access | Times Cited: 26
Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations
Matteo Salvador, Marina Strocchi, Francesco Regazzoni, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
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
Linking statistical shape models and simulated function in the healthy adult human heart
Cristóbal Rodero, Marina Strocchi, M Marciniak, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 4, pp. e1008851-e1008851
Open Access | Times Cited: 54
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
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
An Integrated Workflow for Building Digital Twins of Cardiac Electromechanics—A Multi-Fidelity Approach for Personalising Active Mechanics
Alexander Jung, Matthias A. F. Gsell, Christoph M. Augustin, et al.
Mathematics (2022) Vol. 10, Iss. 5, pp. 823-823
Open Access | Times Cited: 29
Fast and robust parameter estimation with uncertainty quantification for the cardiac function
Matteo Salvador, Francesco Regazzoni, Luca Dede’, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107402-107402
Open Access | Times Cited: 18
Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models
Elias Karabelas, Stefano Longobardi, Jana Fuchsberger, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 69, Iss. 10, pp. 3216-3223
Open Access | Times Cited: 24
Digital twinning of cardiac electrophysiology for congenital heart disease
Matteo Salvador, Fanwei Kong, Mathias Peirlinck, et al.
Journal of The Royal Society Interface (2024) Vol. 21, Iss. 215
Open Access | Times Cited: 4
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
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
Efficient approximation of cardiac mechanics through reduced‐order modeling with deep learning‐based operator approximation
Ludovica Cicci, Stefania Fresca, Andrea Manzoni, et al.
International Journal for Numerical Methods in Biomedical Engineering (2023) Vol. 40, Iss. 1
Open Access | Times Cited: 8
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
Accelerating the convergence to a limit cycle in 3D cardiac electromechanical simulations through a data-driven 0D emulator
Francesco Regazzoni, Alfio Quarteroni
Computers in Biology and Medicine (2021) Vol. 135, pp. 104641-104641
Open Access | Times Cited: 18
Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics
Ludovica Cicci, Stefania Fresca, Stefano Pagani, et al.
Mathematics in Engineering (2022) Vol. 5, Iss. 2, pp. 1-38
Open Access | Times Cited: 13
Modelling the interaction between stem cells derived cardiomyocytes patches and host myocardium to aid non-arrhythmic engineered heart tissue design
Damiano Fassina, Caroline Mendonça Costa, Stefano Longobardi, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 4, pp. e1010030-e1010030
Open Access | Times Cited: 12
Functional and structural differences between skinned and intact muscle preparations
Alexandre Lewalle, Kenneth S. Campbell, Stuart G. Campbell, et al.
The Journal of General Physiology (2022) Vol. 154, Iss. 2
Open Access | Times Cited: 9
Digital twinning of cardiac electrophysiology for congenital heart disease
Matteo Salvador, Fanwei Kong, Mathias Peirlinck, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Global Sensitivity Analysis of Thrombus Formation in the Left Atrial Appendage of Atrial Fibrillation Patients
Zineb Smine, Paolo Melidoro, Ahmed Qureshi, et al.
Lecture notes in computer science (2024), pp. 55-65
Closed Access | Times Cited: 1
Calibration of Cohorts of Virtual Patient Heart Models Using Bayesian History Matching
Cristóbal Rodero, Stefano Longobardi, Christoph M. Augustin, et al.
Annals of Biomedical Engineering (2022) Vol. 51, Iss. 1, pp. 241-252
Open Access | Times Cited: 6
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