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:

Digital Twin for maintenance: A literature review
Itxaro Errandonea, Sergio Beltrán, Saioa Arrizabalaga
Computers in Industry (2020) Vol. 123, pp. 103316-103316
Closed Access | Times Cited: 506

Showing 1-25 of 506 citing articles:

Digital twin modeling
Fei Tao, Bin Xiao, Qinglin Qi, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 372-389
Closed Access | Times Cited: 535

Predictive maintenance using digital twins: A systematic literature review
Raymon van Dinter, Bedir Teki̇nerdoğan, Cagatay Catal
Information and Software Technology (2022) Vol. 151, pp. 107008-107008
Open Access | Times Cited: 223

Design, Modeling and Implementation of Digital Twins
Mariana Segovia, Joaquín García-Alfaro
Sensors (2022) Vol. 22, Iss. 14, pp. 5396-5396
Open Access | Times Cited: 188

Digital Twins From Smart Manufacturing to Smart Cities: A Survey
Georgios Mylonas, Αθανάσιος Καλογεράς, Georgios Kalogeras, et al.
IEEE Access (2021) Vol. 9, pp. 143222-143249
Open Access | Times Cited: 184

Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers
Matteo Perno, Lars Hvam, Anders Haug
Computers in Industry (2021) Vol. 134, pp. 103558-103558
Open Access | Times Cited: 184

A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
Adam Thelen, Xiaoge Zhang, Olga Fink, et al.
Structural and Multidisciplinary Optimization (2022) Vol. 65, Iss. 12
Open Access | Times Cited: 182

A systematic review of digital twin about physical entities, virtual models, twin data, and applications
Xin Liu, Du Jiang, Bo Tao, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101876-101876
Closed Access | Times Cited: 164

Digital Twin applications toward Industry 4.0: A Review
Mohd Javaid, Abid Haleem, Rajiv Suman
Cognitive Robotics (2023) Vol. 3, pp. 71-92
Open Access | Times Cited: 149

BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review
Corentin Coupry, Sylvain Noblecourt, Paul Richard, et al.
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 6810-6810
Open Access | Times Cited: 139

Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
Ahmad K. Sleiti, Jayanta Kapat, Ladislav Veselý
Energy Reports (2022) Vol. 8, pp. 3704-3726
Open Access | Times Cited: 123

Digital twins: An analysis framework and open issues
Hugh Boyes, Tim Watson
Computers in Industry (2022) Vol. 143, pp. 103763-103763
Open Access | Times Cited: 120

Blockchain-Empowered Digital Twins Collaboration: Smart Transportation Use Case
Radhya Sahal, Saeed Hamood Alsamhi, Kenneth N. Brown, et al.
Machines (2021) Vol. 9, Iss. 9, pp. 193-193
Open Access | Times Cited: 119

Archetypes of Digital Twins
Hendrik van der Valk, Hendrik Haße, Frederik Möller, et al.
Business & Information Systems Engineering (2021) Vol. 64, Iss. 3, pp. 375-391
Open Access | Times Cited: 118

Digital twin-enabled smart modular integrated construction system for on-site assembly
Yishuo Jiang, Ming Li, Daqiang Guo, et al.
Computers in Industry (2021) Vol. 136, pp. 103594-103594
Closed Access | Times Cited: 117

Digital twin of a city: Review of technology serving city needs
Ville Lehtola, Mila Koeva, Sander Oude Elberink, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 102915-102915
Open Access | Times Cited: 111

Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet
Shenle Pan, Damien Trentesaux, Duncan McFarlane, et al.
Computers in Industry (2021) Vol. 128, pp. 103435-103435
Open Access | Times Cited: 108

Recent progress on reliability analysis of offshore wind turbine support structures considering digital twin solutions
Mengmeng Wang, Cheng‐Ye Wang, Anna Hnydiuk-Stefan, et al.
Ocean Engineering (2021) Vol. 232, pp. 109168-109168
Closed Access | Times Cited: 106

Digital Twin for Civil Engineering Systems: An Exploratory Review for Distributed Sensing Updating
Mattia Francesco Bado, Daniel Tonelli, Francesca Poli, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3168-3168
Open Access | Times Cited: 90

Digital twin applications in aviation industry: A review
Minglan Xiong, Huawei Wang
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 9-10, pp. 5677-5692
Closed Access | Times Cited: 90

A literature review and design methodology for digital twins in the era of zero defect manufacturing
Foivos Psarommatis, Gökan May
International Journal of Production Research (2022) Vol. 61, Iss. 16, pp. 5723-5743
Open Access | Times Cited: 83

Industry application of digital twin: from concept to implementation
Xin Fang, Honghui Wang, Guijie Liu, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 7-8, pp. 4289-4312
Closed Access | Times Cited: 82

End-to-end industrial IoT platform for Quality 4.0 applications
Ioannis T. Christou, Nikos Kefalakis, John Soldatos, et al.
Computers in Industry (2022) Vol. 137, pp. 103591-103591
Closed Access | Times Cited: 78

Digital twin technology for thermal comfort and energy efficiency in buildings: A state-of-the-art and future directions
Victor Adetunji Arowoiya, Robert C. Moehler, Yihai Fang
Energy and Built Environment (2023) Vol. 5, Iss. 5, pp. 641-656
Open Access | Times Cited: 75

Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm
Qi Yan, Hongfeng Wang, Fang Wu
Computers & Operations Research (2022) Vol. 144, pp. 105823-105823
Closed Access | Times Cited: 74

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