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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:

Precision medicine in human heart modeling
Mathias Peirlinck, Francisco Sahli Costabal, Yao Jiang, et al.
Biomechanics and Modeling in Mechanobiology (2021) Vol. 20, Iss. 3, pp. 803-831
Open Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

Digital twin in healthcare: Recent updates and challenges
Tianze Sun, Xiwang He, Zhonghai Li
Digital Health (2023) Vol. 9
Open Access | Times Cited: 194
The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field
Genevieve Coorey, Gemma A. Figtree, David F. Fletcher, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 153
Sex Matters: A Comprehensive Comparison of Female and Male Hearts
Skyler R. St. Pierre, Mathias Peirlinck, Ellen Kuhl
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 110
Digital twin for healthcare systems
Alexandre Vallée
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 84
A comprehensive and biophysically detailed computational model of the whole human heart electromechanics
Marco Fedele, Roberto Piersanti, Francesco Regazzoni, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 410, pp. 115983-115983
Open Access | Times Cited: 57
Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
Iman Salahshoori, Mahdi Golriz, Marcos A.L. Nobre, et al.
Journal of Molecular Liquids (2023) Vol. 395, pp. 123888-123888
Open Access | Times Cited: 49
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
Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins
Alexandre Vallée
Journal of Medical Internet Research (2024) Vol. 26, pp. e50204-e50204
Open Access | Times Cited: 18
Automated model discovery for human cardiac tissue: Discovering the best model and parameters
Denisa Martonová, Mathias Peirlinck, Kevin Linka, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 428, pp. 117078-117078
Open Access | Times Cited: 17
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
Chengyue Wu, Guillermo Lorenzo, David A. Hormuth, et al.
Biophysics Reviews (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 66
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
Beyond CFD: Emerging methodologies for predictive simulation in cardiovascular health and disease
Erica L. Schwarz, Luca Pegolotti, Martin R. Pfaller, et al.
Biophysics Reviews (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 40
Artificial Intelligence, Computational Simulations, and Extended Reality in Cardiovascular Interventions
Saurabhi Samant, Jules Joel Bakhos, Wei Wu, et al.
КАРДИОЛОГИЯ УЗБЕКИСТАНА (2023) Vol. 16, Iss. 20, pp. 2479-2497
Open Access | Times Cited: 34
GPU accelerated digital twins of the human heart open new routes for cardiovascular research
Francesco Viola, Giulio Del Corso, Ruggero De Paulis, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 32
Patient-specific modeling of blood flow in the coronary arteries
Charles A. Taylor, Kersten Petersen, Nan Xiao, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 417, pp. 116414-116414
Open Access | Times Cited: 30
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
Anirban Chaudhuri, Graham Pash, David A. Hormuth, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 28
Literature review of digital twin in healthcare
Tatiana Mallet Machado, Fernando Tobal Berssaneti
Heliyon (2023) Vol. 9, Iss. 9, pp. e19390-e19390
Open Access | Times Cited: 27
The potential of the Medical Digital Twin in diabetes management: a review
Yanting Chu, Shanhong Li, Jie Tang, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 24
Digital patient twins for personalized therapeutics and pharmaceutical manufacturing
Rene-Pascal Fischer, Annika Volpert, Pablo Oliveira Antonino, et al.
Frontiers in Digital Health (2024) Vol. 5
Open Access | Times Cited: 12
Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks
Francesco Regazzoni, Stefano Pagani, Matteo Salvador, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Democratizing biomedical simulation through automated model discovery and a universal material subroutine
Mathias Peirlinck, Kevin Linka, Juan A. Hurtado, et al.
Computational Mechanics (2024)
Open Access | Times Cited: 10
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: 9
A universal material model subroutine for soft matter systems
Mathias Peirlinck, Juan A. Hurtado, Manuel K. Rausch, et al.
Engineering With Computers (2024)
Open Access | Times Cited: 8
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
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