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: 515

Showing 26-50 of 515 citing articles:

The novel emergency hospital services for patients using digital twins
Rajanikanth Aluvalu, Swapna Mudrakola, V. Uma Maheswari, et al.
Microprocessors and Microsystems (2023) Vol. 98, pp. 104794-104794
Closed Access | Times Cited: 50

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

Metaverse Wearables for Immersive Digital Healthcare: A Review
Kisoo Kim, Hyosill Yang, Ji-Hun Lee, et al.
Advanced Science (2023) Vol. 10, Iss. 31
Open Access | Times Cited: 41

Digital twin: Data exploration, architecture, implementation and future
Md. Shezad Dihan, Anwar Islam Akash, Zinat Tasneem, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26503-e26503
Open Access | Times Cited: 31

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

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

Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data
Guillermo Lorenzo, Syed Rakin Ahmed, David A. Hormuth, et al.
Annual Review of Biomedical Engineering (2024) Vol. 26, Iss. 1, pp. 529-560
Open Access | Times Cited: 17

Generative-AI-Driven Human Digital Twin in IoT Healthcare: A Comprehensive Survey
Jiayuan Chen, You Shi, Changyan Yi, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 21, pp. 34749-34773
Open Access | Times Cited: 15

Concepts and applications of digital twins in healthcare and medicine
Kang Zhang, Hong-Yu Zhou, Daniel T. Baptista‐Hon, et al.
Patterns (2024) Vol. 5, Iss. 8, pp. 101028-101028
Open Access | Times Cited: 15

Cyber Resilience in Healthcare Digital Twin on Lung Cancer
Jun Zhang, Lin Li, Guanjun Lin, et al.
IEEE Access (2020) Vol. 8, pp. 201900-201913
Open Access | Times Cited: 97

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

Digital Biomarkers in Multiple Sclerosis
Anja Dillenseger, Marie Luise Weidemann, Katrin Trentzsch, et al.
Brain Sciences (2021) Vol. 11, Iss. 11, pp. 1519-1519
Open Access | Times Cited: 78

Perspectives on Precision Medicine Approaches to NAFLD Diagnosis and Management
Amedeo Lonardo, Juan Pablo Arab, Marco Arrese
Advances in Therapy (2021) Vol. 38, Iss. 5, pp. 2130-2158
Open Access | Times Cited: 66

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

A modular computational framework for medical digital twins
Joseph Masison, Jonathan Beezley, Yefeng Mei, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 20
Open Access | Times Cited: 62

The Future of Telemedicine in the Management of Heart Failure Patients
José Silva‐Cardoso, José Ramón González–Juanatey, Josep Comín‐Colet, et al.
Cardiac failure review (2021) Vol. 7
Open Access | Times Cited: 61

Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation
Andrew Gilbert, M Marciniak, Cristóbal Rodero, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 10, pp. 2783-2794
Open Access | Times Cited: 59

Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks
Stefano Buoso, T. A. Joyce, Sebastian Kozerke
Medical Image Analysis (2021) Vol. 71, pp. 102066-102066
Open Access | Times Cited: 59

How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management
Iván Olier, Sandra Ortega‐Martorell, Mark Pieroni, et al.
Cardiovascular Research (2021) Vol. 117, Iss. 7, pp. 1700-1717
Open Access | Times Cited: 59

Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging
Sergio Sanchez‐Martinez, Óscar Cámara, Gemma Piella, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 8
Open Access | Times Cited: 57

A Review of Artificial Intelligence and Robotics in Transformed Health Ecosystems
Kerstin Denecke, Claude R. Baudoin
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 55

The role ofAIfor developing digital twins in healthcare: The case of cancer care
Rohit Kaul, Chinedu I. Ossai, Abdur Rahim Mohammad Forkan, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 55

Pharmacological Management of Hypertrophic Cardiomyopathy: From Bench to Bedside
Chiara Palandri, Lorenzo Santini, Alessia Argirò, et al.
Drugs (2022) Vol. 82, Iss. 8, pp. 889-912
Open Access | Times Cited: 43

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

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