EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues MATEC Web of Conferences, 172 (2018) 01009 Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

A review of digital twins in smart industries: Concepts, milestones, trends, applications, opportunities and challenges

Peipei Ding, Shi Qiang Liu, Raymond Chiong, Sandeep Dhakal, Dewang Chen, Debiao Li, Hoi-Lam Ma and Sai-Ho Chung
Computers in Industry 174 104398 (2026)
https://doi.org/10.1016/j.compind.2025.104398

A Conceptual Framework for Digital Twin in Healthcare: Evidence from a Systematic Meta-Review

Giulia Pellegrino, Massimiliano Gervasi, Mario Angelelli and Angelo Corallo
Information Systems Frontiers 27 (1) 7 (2025)
https://doi.org/10.1007/s10796-024-10536-4

A 2D computational model of chemically- and mechanically-induced platelet plug formation

Giulia Cardillo and Abdul I. Barakat
Biomechanics and Modeling in Mechanobiology 24 (5) 1465 (2025)
https://doi.org/10.1007/s10237-025-01966-3

A comprehensive review on CFD simulations of left ventricle hemodynamics: numerical methods, experimental validation techniques, and emerging trends

Priyanshu Soni, Sumit Kumar, B. V. Rathish Kumar, Sanjay Kumar Rai, Ashish Verma and Om Shankar
Journal of the Brazilian Society of Mechanical Sciences and Engineering 46 (5) (2024)
https://doi.org/10.1007/s40430-024-04875-1

Digital Twin - An Innovative Strategy in Healthcare Transformation: An Extensive Review

R. Subashini, M. Kanishghasriee, S. Grace, C. Shifa Sidhiq Fatima, Anupama Sankar and C. Rifa Sidhik Fathima
Journal for Research in Applied Sciences and Biotechnology 3 (6) 7 (2024)
https://doi.org/10.55544/jrasb.3.6.2

Using the Non-Adoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework to Identify Barriers and Facilitators for the Implementation of Digital Twins in Cardiovascular Medicine

Peter D. Winter and Timothy J. A. Chico
Sensors 23 (14) 6333 (2023)
https://doi.org/10.3390/s23146333

The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare

Mohanad Alkhodari, Zhaohan Xiong, Ahsan H. Khandoker, et al.
Expert Review of Cardiovascular Therapy 21 (7) 531 (2023)
https://doi.org/10.1080/14779072.2023.2223978

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 5 (1) (2022)
https://doi.org/10.1038/s41746-022-00640-7

A Cross-Domain Systematic Mapping Study on Software Engineering for Digital Twins

Manuela Dalibor, Nico Jansen, Bernhard Rumpe, David Schmalzing, Louis Wachtmeister, Manuel Wimmer and Andreas Wortmann
Journal of Systems and Software 193 111361 (2022)
https://doi.org/10.1016/j.jss.2022.111361

Reprint of: Basic considerations for a digital twin of biointelligent systems: Applying technical design patterns to biological systems

R. Miehe, J. Horbelt, Y. Baumgarten and T. Bauernhansl
CIRP Journal of Manufacturing Science and Technology 34 133 (2021)
https://doi.org/10.1016/j.cirpj.2021.06.004

Basic considerations for a digital twin of biointelligent systems: Applying technical design patterns to biological systems

R. Miehe, J. Horbelt, Y. Baumgarten and T. Bauernhansl
CIRP Journal of Manufacturing Science and Technology 31 548 (2020)
https://doi.org/10.1016/j.cirpj.2020.08.006