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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.

Requested Article:

Review of digital twin about concepts, technologies, and industrial applications
Mengnan Liu, Shuiliang Fang, Huiyue Dong, et al.
Journal of Manufacturing Systems (2020) Vol. 58, pp. 346-361
Closed Access | Times Cited: 1236

Showing 1-25 of 1236 citing articles:

Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
Yogesh K. Dwivedi, Laurie Hughes, Abdullah M. Baabdullah, et al.
International Journal of Information Management (2022) Vol. 66, pp. 102542-102542
Open Access | Times Cited: 1676
Digital Twin: Origin to Future
Maulshree Singh, Evert Fuenmayor, Eoin P. Hinchy, et al.
Applied System Innovation (2021) Vol. 4, Iss. 2, pp. 36-36
Open Access | Times Cited: 584
Digital twin application in the construction industry: A literature review
De-Graft Joe Opoku, Srinath Perera, Robert Osei‐Kyei, et al.
Journal of Building Engineering (2021) Vol. 40, pp. 102726-102726
Closed Access | Times Cited: 468
Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis
Ahmed Tlili, Ronghuai Huang, Boulus Shehata, et al.
Smart Learning Environments (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 441
A Survey on the Metaverse: The State-of-the-Art, Technologies, Applications, and Challenges
Hang Wang, Huansheng Ning, Yujia Lin, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 16, pp. 14671-14688
Open Access | Times Cited: 422
Digital Twins: State of the art theory and practice, challenges, and open research questions
Angira Sharma, Edward Elson Kosasih, Jie Zhang, et al.
Journal of Industrial Information Integration (2022) Vol. 30, pp. 100383-100383
Open Access | Times Cited: 253
Differentiating Digital Twin from Digital Shadow: Elucidating a Paradigm Shift to Expedite a Smart, Sustainable Built Environment
Samad M. E. Sepasgozar
Buildings (2021) Vol. 11, Iss. 4, pp. 151-151
Open Access | Times Cited: 248
A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics
Ziqi Huang, Yang Shen, Jiayi Li, et al.
Sensors (2021) Vol. 21, Iss. 19, pp. 6340-6340
Open Access | Times Cited: 225
Energy digital twin technology for industrial energy management: Classification, challenges and future
Wei Yu, Panos Patros, Brent R. Young, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 161, pp. 112407-112407
Open Access | Times Cited: 215
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
Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
Swarna Priya Ramu, Parimala Boopalan, Quoc‐Viet Pham, et al.
Sustainable Cities and Society (2022) Vol. 79, pp. 103663-103663
Closed Access | Times Cited: 183
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
External corrosion of oil and gas pipelines: A review of failure mechanisms and predictive preventions
Muhammad Wasim, Milos B. Djukic
Journal of Natural Gas Science and Engineering (2022) Vol. 100, pp. 104467-104467
Closed Access | Times Cited: 181
Applications of Digital Twin across Industries: A Review
Maulshree Singh, Rupal Srivastava, Evert Fuenmayor, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5727-5727
Open Access | Times Cited: 181
Human Digital Twin in the context of Industry 5.0
Baicun Wang, Huiying Zhou, Xingyu Li, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102626-102626
Closed Access | Times Cited: 174
Metaverse in Education: Vision, Opportunities, and Challenges
Honghuang Lin, Shicheng Wan, Wensheng Gan, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 2857-2866
Open Access | Times Cited: 168
Digital Twin: A Comprehensive Survey of Security Threats
Cristina Alcaraz, Javier López
IEEE Communications Surveys & Tutorials (2022) Vol. 24, Iss. 3, pp. 1475-1503
Closed Access | Times Cited: 167
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
Exploring the role of green and Industry 4.0 technologies in achieving sustainable development goals in food sectors
Abdo Hassoun, Miguel A. Prieto, María Carpena, et al.
Food Research International (2022) Vol. 162, pp. 112068-112068
Closed Access | Times Cited: 148
From simple digital twin to complex digital twin Part I: A novel modeling method for multi-scale and multi-scenario digital twin
Wenjie Jia, Wei Wang, Zhenzu Zhang
Advanced Engineering Informatics (2022) Vol. 53, pp. 101706-101706
Closed Access | Times Cited: 137
Digital Twin in Aerospace Industry: A Gentle Introduction
Luning Li, Sohaib Aslam, Andrew Wileman, et al.
IEEE Access (2021) Vol. 10, pp. 9543-9562
Open Access | Times Cited: 133
Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries
Shuaiyin Ma, Wei Ding, Yang Liu, et al.
Applied Energy (2022) Vol. 326, pp. 119986-119986
Open Access | Times Cited: 127
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
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