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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.

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Showing 17 citing articles:

Exploring human-based digital twins in healthcare: a scoping review
Nilmini Wickramasinghe, Nalika Ulapane
Elsevier eBooks (2025), pp. 465-476
Closed Access
Overcoming barriers and enabling artificial intelligence adoption in allied health clinical practice: A qualitative study
Jane Hoffman, Rachel Wenke, Rebecca Angus, et al.
Digital Health (2025) Vol. 11
Open Access
Integrating Remote Monitoring Into the Pregnancy Care
Susanna Likitalo, Anni Pakarinen, Anna Axelin
CIN Computers Informatics Nursing (2025)
Closed Access
Barriers and Challenges for Digital Twin Adoption in Healthcare Supply Chain and Operations Management
Anil Kumar Sharma, Manoj Kumar Srivastava, Ritu Sharma
Global Business Review (2025)
Closed Access
Cardiovascular care with digital twin technology in the era of generative artificial intelligence
Phyllis Thangaraj, S. Benson, Evangelos K. Oikonomou, et al.
European Heart Journal (2024)
Closed Access | Times Cited: 4
Digital twins: a new paradigm in oncology in the era of big data
Luigina Mollica, Claudia Leli, Federico Sottotetti, et al.
ESMO Real World Data and Digital Oncology (2024) Vol. 5, pp. 100056-100056
Closed Access | Times Cited: 3
3D Printing Approach in Maxillofacial Surgery in Iran: An Evaluation Using the Non-Adoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework
Rosana Farjaminejad, Samira Farjaminejad, Ludovica Nucci, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 3075-3075
Open Access | Times Cited: 2
ETHICA: Designing Human Digital Twins—A Systematic Review and Proposed Methodology
Martin Wolfgang Lauer-Schmaltz, Philip Cash, David Gabriel Tacdeo Rivera
IEEE Access (2024) Vol. 12, pp. 86947-86973
Open Access | Times Cited: 2
Recent Advances in Artificial Intelligence to Improve Immunotherapy and the Use of Digital Twins to Identify Prognosis of Patients with Solid Tumors
Laura D’Orsi, Biagio Capasso, Giuseppe Lamacchia, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 21, pp. 11588-11588
Open Access | Times Cited: 2
Insights into implementation planning for point-of-care testing to guide treatment of chronic obstructive pulmonary disease exacerbation: a mixed methods feasibility study
Julie Hart, Alexander D. Edwards, Andrew Stainthorpe
Frontiers in Health Services (2024) Vol. 3
Open Access | Times Cited: 1
Revolutionising agriculture for food security and environmental sustainability: A perspective on the role of digital twin technology
Divine Senanu Ametefe, Norhayati Hussin, Dah John, et al.
CABI Reviews (2024)
Closed Access | Times Cited: 1
Allied health professionals’ perceptions of artificial intelligence in the clinical setting: a cross sectional survey (Preprint)
Jane Hoffman, Laetitia Hattingh, Lucy Shinners, et al.
JMIR Formative Research (2024) Vol. 8, pp. e57204-e57204
Open Access | Times Cited: 1
Immune digital twins for complex human pathologies: applications, limitations, and challenges
Anna Niarakis, Reinhard Laubenbacher, Gary An, et al.
npj Systems Biology and Applications (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven cardiac auscultation research for low-income settings
Felix H. Krones, Benjamin J. Walker
PLOS Digital Health (2024) Vol. 3, Iss. 12, pp. e0000437-e0000437
Open Access | Times Cited: 1
From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven healthcare research for low-income settings
Felix H. Krones, Benjamin J. Walker
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Stroke physicians’ and staff perspectives on machine learning to optimise thrombolysis decision making in stroke: a qualitative study
Rachel Jarvie, Julia Frost, Keira Pratt-Boyden, et al.
(2024)
Open Access
Allied Health Professionals’ Perceptions of Artificial Intelligence in the Clinical Setting: Cross-Sectional Survey (Preprint)
Jane Hoffman, Laetitia Hattingh, Lucy Shinners, et al.
(2024)
Closed Access
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