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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:

Sensitivity analysis of a strongly-coupled human-based electromechanical cardiac model: Effect of mechanical parameters on physiologically relevant biomarkers
Francesc Levrero-Florencio, Francesca Margara, Ernesto Zacur, et al.
Computer Methods in Applied Mechanics and Engineering (2019) Vol. 361, pp. 112762-112762
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Electro-Mechanical Whole-Heart Digital Twins: A Fully Coupled Multi-Physics Approach
Tobias Gerach, Steffen Schuler, Jonathan Fröhlich, et al.
Mathematics (2021) Vol. 9, Iss. 11, pp. 1247-1247
Open Access | Times Cited: 81
In-silico human electro-mechanical ventricular modelling and simulation for drug-induced pro-arrhythmia and inotropic risk assessment
Francesca Margara, Zhinuo Jenny Wang, Francesc Levrero-Florencio, et al.
Progress in Biophysics and Molecular Biology (2020) Vol. 159, pp. 58-74
Open Access | Times Cited: 73
A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart
Michele Bucelli, Alberto Zingaro, Pasquale Claudio Africa, et al.
International Journal for Numerical Methods in Biomedical Engineering (2022) Vol. 39, Iss. 3
Open Access | Times Cited: 63
3D–0D closed-loop model for the simulation of cardiac biventricular electromechanics
Roberto Piersanti, Francesco Regazzoni, Matteo Salvador, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 391, pp. 114607-114607
Open Access | Times Cited: 43
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
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
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia
Matteo Salvador, Francesco Regazzoni, Stefano Pagani, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105203-105203
Open Access | Times Cited: 28
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
Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia
Matteo Salvador, Marco Fedele, Pasquale Claudio Africa, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104674-104674
Open Access | Times Cited: 39
Differential effects of mechano‐electric feedback mechanisms on whole‐heart activation, repolarization, and tension
Tobias Gerach, Axel Loewe
The Journal of Physiology (2024) Vol. 602, Iss. 18, pp. 4605-4624
Open Access | Times Cited: 5
Stabilization of loosely coupled schemes for 0D–3D fluid–structure interaction problems with application to cardiovascular modelling
Francesco Regazzoni
Numerische Mathematik (2025)
Open Access
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images
Marcel Beetz, Abhirup Banerjee, Julius Ossenberg-Engels, et al.
Medical Image Analysis (2023) Vol. 90, pp. 102975-102975
Open Access | Times Cited: 12
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
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
A stable loosely-coupled scheme for cardiac electro-fluid-structure interaction
Michele Bucelli, Martin Geraint Gabriel, Alfio Quarteroni, et al.
Journal of Computational Physics (2023) Vol. 490, pp. 112326-112326
Open Access | Times Cited: 10
Clinical phenotypes in acute and chronic infarction explained through human ventricular electromechanical modelling and simulations
Xin Zhou, Zhinuo Jenny Wang, Julià Camps, et al.
eLife (2024) Vol. 13
Open Access | Times Cited: 3
Human biventricular electromechanical simulations on the progression of electrocardiographic and mechanical abnormalities in post-myocardial infarction
Zhinuo Jenny Wang, Alfonso Santiago, Xin Zhou, et al.
EP Europace (2020) Vol. 23, Iss. Supplement_1, pp. i143-i152
Open Access | Times Cited: 26
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
An Implementation of Patient-Specific Biventricular Mechanics Simulations With a Deep Learning and Computational Pipeline
Renee Miller, Eric Kerfoot, Charlène A. Mauger, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 21
An accurate, robust, and efficient finite element framework with applications to anisotropic, nearly and fully incompressible elasticity
Elias Karabelas, Matthias A. F. Gsell, Gundolf Haase, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 394, pp. 114887-114887
Open Access | Times Cited: 15
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
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
Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle
Agnieszka Borowska, Hao Gao, Alan Lazarus, et al.
International Journal for Numerical Methods in Biomedical Engineering (2022) Vol. 38, Iss. 5
Open Access | Times Cited: 13
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