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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:

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

Showing 1-25 of 153 citing articles:

Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation
Kaushik P. Venkatesh, Marium Raza, Joseph C. Kvedar
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 122
Exploring the revolution in healthcare systems through the applications of digital twin technology
Abid Haleem, Mohd Javaid, Ravi Pratap Singh, et al.
Biomedical Technology (2023) Vol. 4, pp. 28-38
Open Access | Times Cited: 94
Digital twin for healthcare systems
Alexandre Vallée
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 84
Advancements and challenges of digital twins in industry
Fei Tao, He Zhang, Chenyuan Zhang
Nature Computational Science (2024) Vol. 4, Iss. 3, pp. 169-177
Open Access | Times Cited: 51
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
Muhammad Turab, Sonain Jamil
BioMedInformatics (2023) Vol. 3, Iss. 3, pp. 563-584
Open Access | Times Cited: 48
Health Digital Twins in Life Science and Health Care Innovation
Kaushik P. Venkatesh, Gabriel Brito, Maged N. Kamel Boulos
The Annual Review of Pharmacology and Toxicology (2023) Vol. 64, Iss. 1, pp. 159-170
Open Access | Times Cited: 45
Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study
Željko Kraljević, Daniel Bean, Anthony Shek, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 4, pp. e281-e290
Open Access | Times Cited: 25
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
Manasvi Singh, Ashish Kumar, Narendra N. Khanna, et al.
EClinicalMedicine (2024) Vol. 73, pp. 102660-102660
Open Access | Times Cited: 23
A roadmap for the development of human body digital twins
Chenyu Tang, Wentian Yi, Edoardo Occhipinti, et al.
Nature Reviews Electrical Engineering (2024) Vol. 1, Iss. 3, pp. 199-207
Open Access | Times Cited: 19
Data Security and Privacy in the Age of AI and Digital Twins
Mamoon M. Saeed, Rashid A. Saeed, Zeinab E. Ahmed
Advances in business information systems and analytics book series (2024), pp. 99-124
Closed Access | Times Cited: 18
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
Value Creation Through Artificial Intelligence and Cardiovascular Imaging: A Scientific Statement From the American Heart Association
Kate Hanneman, David Playford, Damini Dey, et al.
Circulation (2024) Vol. 149, Iss. 6
Open Access | Times Cited: 17
Digital twins as global learning health and disease models for preventive and personalized medicine
Xinxiu Li, Joseph Loscalzo, A. K. M. Firoj Mahmud, et al.
Genome Medicine (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Advancing Healthcare with Digital Twins: A Meta-Review of Applications and Implementation Challenges (Preprint)
Mickaël Ringeval, Faustin Armel Etindele Sosso, Martin Cousineau, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e69544-e69544
Open Access | Times Cited: 1
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
Improving Humanization through Metaverse-Related Technologies: A Systematic Review
María González Moreno, Paula Andrade-Pino, Carlos Monfort-Vinuesa, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1727-1727
Open Access | Times Cited: 22
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
Potentials of digital twin system for analyzing travel behavior decisions
Mahdi Aghaabbasi, Soheil Sabri
Travel Behaviour and Society (2024) Vol. 38, pp. 100902-100902
Closed Access | Times Cited: 13
The intelligent Impella: Future perspectives of artificial intelligence in the setting of Impella support
Filippo Consolo, Jacopo D’Andria Ursoleo, Marina Pieri, et al.
ESC Heart Failure (2024) Vol. 11, Iss. 5, pp. 2933-2940
Open Access | Times Cited: 11
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: 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
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
Integrating Social Dimensions into Urban Digital Twins: A Review and Proposed Framework for Social Digital Twins
Saleh Qanazi, Éric Leclerc, Pauline Bosredon
Smart Cities (2025) Vol. 8, Iss. 1, pp. 23-23
Open Access | Times Cited: 1
Digital twins and AI transforming healthcare systems through innovation and data-driven decision making
Adel Oulefki, Abbes Amira, Sebti Foufou
Health and Technology (2025)
Closed Access | Times Cited: 1
Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator
Maarten Z H Kolk, Samuel Ruipérez-Campillo, Laura Alvarez-Florez, et al.
EBioMedicine (2023) Vol. 99, pp. 104937-104937
Open Access | Times Cited: 20
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