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:

Development of Digital Twins to Optimize Trauma Surgery and Postoperative Management. A Case Study Focusing on Tibial Plateau Fracture
K. Aubert, Arnaud Germaneau, Michel Rochette, et al.
Frontiers in Bioengineering and Biotechnology (2021) Vol. 9
Open Access | Times Cited: 56

Showing 1-25 of 56 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: 187

Digital twins for health: a scoping review
Evangelia Katsoulakis, Qi Wang, Huanmei Wu, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 97

Personal Digital Twin: A Close Look into the Present and a Step towards the Future of Personalised Healthcare Industry
Radhya Sahal, Saeed Hamood Alsamhi, Kenneth N. Brown
Sensors (2022) Vol. 22, Iss. 15, pp. 5918-5918
Open Access | Times Cited: 92

The Digital Twin in Medicine: A Key to the Future of Healthcare?
Tianze Sun, Xiwang He, Xueguan Song, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 89

Digital Twins in Healthcare: An Architectural Proposal and Its Application in a Social Distancing Case Study
Alessandra De Benedictis, Nicola Mazzocca, Alessandra Somma, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 10, pp. 5143-5154
Open Access | Times Cited: 70

Human-Centric Digital Twins in Industry: A Comprehensive Review of Enabling Technologies and Implementation Strategies
Usman Asad, Madeeha Khan, Azfar Khalid, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3938-3938
Open Access | Times Cited: 58

A Systematic Literature Review of Digital Twin Research for Healthcare Systems: Research Trends, Gaps, and Realization Challenges
Md Doulotuzzaman Xames, Taylan G. Topcu
IEEE Access (2024) Vol. 12, pp. 4099-4126
Open Access | Times Cited: 26

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 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

Toward an artificial intelligence‐assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response
Hossein Ahmadian, Prasath Mageswaran, Benjamin A. Walter, et al.
International Journal for Numerical Methods in Biomedical Engineering (2022) Vol. 38, Iss. 6
Open Access | Times Cited: 31

Digital Twin: Exploring the Intersection of Virtual and Physical Worlds
Devika Menon, Bharath Anand, Chiranji Lal Chowdhary
IEEE Access (2023) Vol. 11, pp. 75152-75172
Open Access | Times Cited: 18

Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning
Gil-Sun Hong, Miso Jang, Sunggu Kyung, et al.
Korean Journal of Radiology (2023) Vol. 24, Iss. 11, pp. 1061-1061
Open Access | Times Cited: 17

When is a simulation a digital twin? A systematic literature review
Ana Wooley, Daniel F. Silva, Julia Bitencourt
Manufacturing Letters (2023) Vol. 35, pp. 940-951
Open Access | Times Cited: 16

The Digital Twin: A Potential Solution for the Personalized Diagnosis and Treatment of Musculoskeletal System Diseases
Tianze Sun, Jinzuo Wang, Moran Suo, et al.
Bioengineering (2023) Vol. 10, Iss. 6, pp. 627-627
Open Access | Times Cited: 14

Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine
Kaan Sel, Andrea Hawkins‐Daarud, Anirban Chaudhuri, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access

Technological Advances for Digital Twins in the Metaverse for Sustainable Healthcare
Anupama K. Ingale, Hyung Seok Kim, J. Divya Udayan, et al.
Advances in healthcare information systems and administration book series (2025), pp. 77-106
Closed Access

Digital twin systems for musculoskeletal applications: A current concepts review
Pedro Diniz, Bernd Grimm, Fernando García, et al.
Knee Surgery Sports Traumatology Arthroscopy (2025)
Closed Access

Individual postoperative and preoperative workflow for patients with fractures of the lower extremities
Annchristin Andres, Michael Roland, Kerstin Wickert, et al.
Clinical Biomechanics (2025), pp. 106503-106503
Closed Access

Computer-assisted preoperative planning of bone fracture fixation surgery: A state-of-the-art review
Jet Zoë Moolenaar, N. Tümer, Sara Checa
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 17

Beyond Reality: A Study of Integrating Digital Twins
Ajit B. Kolekar, S. Shalgar, I. Malawade
Journal of Physics Conference Series (2023) Vol. 2601, Iss. 1, pp. 012030-012030
Open Access | Times Cited: 8

Importance of the Posterior Plate in Three‐Column Tibial Plateau Fractures: A Finite Element Analysis and Clinical Validation
Chendong Liu, Sun-Jun Hu, Shi‐Min Chang, et al.
Orthopaedic Surgery (2024) Vol. 16, Iss. 4, pp. 930-942
Open Access | Times Cited: 2

Empowering Healthcare With Cyber-Physical System—A Systematic Literature Review
Heba M. Khater, Farag Sallabi, Mohamed Adel Serhani, et al.
IEEE Access (2024) Vol. 12, pp. 83952-83993
Open Access | Times Cited: 2

Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding
Hao Ding, Lalithkumar Seenivasan, Benjamin D. Killeen, et al.
Artificial Intelligence Surgery (2024) Vol. 4, Iss. 3, pp. 109-38
Open Access | Times Cited: 2

A Conceptual Framework for Digital Twin in Healthcare: Evidence from a Systematic Meta-Review
Giulia Pellegrino, Massimiliano Gervasi, Mario Angelelli, et al.
Information Systems Frontiers (2024)
Open Access | Times Cited: 2

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