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:

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: 517

Showing 51-75 of 517 citing articles:

Toward a Digital Twin for Arthroscopic Knee Surgery: A Systematic Review
Øystein Bjelland, Bismi Rasheed, Hans Georg Schaathun, et al.
IEEE Access (2022) Vol. 10, pp. 45029-45052
Open Access | Times Cited: 41

Digital Twin and Smart Manufacturing in Industries: A Bibliometric Analysis with a Focus on Industry 4.0
Georgiana Moiceanu, G. Paraschiv
Sensors (2022) Vol. 22, Iss. 4, pp. 1388-1388
Open Access | Times Cited: 39

Enhancing innovation via the digital twin
Nobuyuki Fukawa, Aric Rindfleisch
Journal of Product Innovation Management (2023) Vol. 40, Iss. 4, pp. 391-406
Closed Access | Times Cited: 31

Multi-modality cardiac image computing: A survey
Lei Li, Wangbin Ding, Liqin Huang, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102869-102869
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: 30

Artificial intelligence-driven drug development against autoimmune diseases
Philippe Moingeon
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 7, pp. 411-424
Open Access | Times Cited: 25

The evolving state of cardiac resynchronization therapy and conduction system pacing: 25 years of research at EP Europace journal
Kenneth A. Ellenbogen, Angelo Auricchio, Haran Burri, et al.
EP Europace (2023) Vol. 25, Iss. 8
Open Access | Times Cited: 24

Physics-informed graph neural network emulation of soft-tissue mechanics
David R. Dalton, Dirk Husmeier, Hao Gao
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 417, pp. 116351-116351
Open Access | Times Cited: 24

AugmentA: Patient-specific augmented atrial model generation tool
Luca Azzolin, Martin Eichenlaub, Claudia Nagel, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 108, pp. 102265-102265
Open Access | Times Cited: 23

Study on the Applicability of Digital Twins for Home Remote Motor Rehabilitation
Piotr Falkowski, Tomasz Osiak, Julia Wilk, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 911-911
Open Access | Times Cited: 22

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: 14

Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review
Zofia Rudnicka, Klaudia Proniewska, Mark D. Perkins, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 866-866
Open Access | Times Cited: 14

The effectiveness of digital twins in promoting precision health across the entire population: a systematic review
Meidi Shen, Si-bing Chen, Xiang-dong Ding
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 13

Whole-heart modelling with valves in a fluid–structure interaction framework
Liuyang Feng, Hao Gao, Xiaoyu Luo
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 420, pp. 116724-116724
Open Access | Times Cited: 11

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

Credibility assessment of in silico clinical trials for medical devices
Pras Pathmanathan, Kenneth N. Aycock, Andreu Badal, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 8, pp. e1012289-e1012289
Open Access | Times Cited: 10

The future of valvular heart disease assessment and therapy
Partho P. Sengupta, Jolanda Kluin, Seung‐Pyo Lee, et al.
The Lancet (2024) Vol. 403, Iss. 10436, pp. 1590-1602
Open Access | Times Cited: 9

Digitale Zwillinge in der kardialen Elektrophysiologie – aktueller Entwicklungsstand und kommende Herausforderungen
Matthijs Cluitmans, Gernot Plank, Jordi Heijman
Herzschrittmachertherapie + Elektrophysiologie (2024) Vol. 35, Iss. 2, pp. 118-123
Open Access | Times Cited: 9

Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
Lei Li, Julià Camps, Zhinuo Jenny Wang, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 7, pp. 2466-2478
Open Access | Times Cited: 8

Digital Twins’ Advancements and Applications in Healthcare, Towards Precision Medicine
Konstantinos Papachristou, Paraskevi Katsakiori, Panagiotis Papadimitroulas, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 11, pp. 1101-1101
Open Access | Times Cited: 8

Digital twin assisted surgery, concept, opportunities, and challenges
Lisa Asciak, Justicia Kyeremeh, Xichun Luo, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1

Challenges and opportunities for digital twins in precision medicine from a complex systems perspective
Manlio De Domenico, Luca Allegri, Guido Caldarelli, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1

Seeking a Definition of Digital Twins for Construction and Infrastructure Management
Ángel Aragón, Mathieu Arquier, Onur Behzat Tokdemir, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1557-1557
Open Access | Times Cited: 1

Challenges and opportunities in uncertainty quantification for healthcare and biological systems
Louise Kimpton, L. Mihaela Păun, Mitchel J. Colebank, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2025) Vol. 383, Iss. 2292
Open Access | Times Cited: 1

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