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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:

A digital twin hierarchy for metal additive manufacturing
Arden Phua, C.H.J. Davies, Gary W. Delaney
Computers in Industry (2022) Vol. 140, pp. 103667-103667
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges
Ravil I. Mukhamediev, Yelena Popova, Yan Kuchin, et al.
Mathematics (2022) Vol. 10, Iss. 15, pp. 2552-2552
Open Access | Times Cited: 142
Research and application of artificial intelligence techniques for wire arc additive manufacturing: a state-of-the-art review
Fengyang He, Lei Yuan, Haochen Mu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 82, pp. 102525-102525
Closed Access | Times Cited: 67
A digital twin framework for civil engineering structures
Matteo Torzoni, Marco Tezzele, Stefano Mariani, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 418, pp. 116584-116584
Open Access | Times Cited: 53
Review of Intelligence for Additive and Subtractive Manufacturing: Current Status and Future Prospects
M. Rahman, Tanveer Saleh, Muhammad P. Jahan, et al.
Micromachines (2023) Vol. 14, Iss. 3, pp. 508-508
Open Access | Times Cited: 51
Big data, machine learning, and digital twin assisted additive manufacturing: A review
Liuchao Jin, Xiaoya Zhai, Kang Wang, et al.
Materials & Design (2024) Vol. 244, pp. 113086-113086
Open Access | Times Cited: 45
High Fidelity Digital Twin-Based Anomaly Detection and Localization for Smart Water Grid Operation Management
Zheng Yi Wu, Alvin Wei Ze Chew, Xue Meng, et al.
Sustainable Cities and Society (2023) Vol. 91, pp. 104446-104446
Closed Access | Times Cited: 41
Wire arc additive manufacturing: A review on digital twinning and visualization process
Hengrui Li, Xichun Shi, Bintao Wu, et al.
Journal of Manufacturing Processes (2024) Vol. 116, pp. 293-305
Closed Access | Times Cited: 27
Digital twins in additive manufacturing: a state-of-the-art review
Tao Shen, Bo Li
The International Journal of Advanced Manufacturing Technology (2024) Vol. 131, Iss. 1, pp. 63-92
Closed Access | Times Cited: 23
A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control
Qingwei Nie, Dunbing Tang, Changchun Liu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 82, pp. 102543-102543
Closed Access | Times Cited: 37
A machine learning digital twin approach for critical process parameter prediction in a catalyst manufacturing line
Matteo Perno, Lars Hvam, Anders Haug
Computers in Industry (2023) Vol. 151, pp. 103987-103987
Open Access | Times Cited: 24
A state-of-the-art digital factory integrating digital twin for laser additive and subtractive manufacturing processes
Usman Tariq, Ranjit Joy, Sung-Heng Wu, et al.
Rapid Prototyping Journal (2023) Vol. 29, Iss. 10, pp. 2061-2097
Closed Access | Times Cited: 23
Height consistency compensation in laser-directed energy deposition of thin-walled parts
Jinsheng Ning, Yunhang Zhao, Lida Zhu, et al.
International Journal of Mechanical Sciences (2024) Vol. 266, pp. 108963-108963
Closed Access | Times Cited: 12
Digital twin-based architecture for wire arc additive manufacturing using OPC UA
Mohammad Mahruf Mahdi, Mahdi Sadeqi Bajestani, Sang Do Noh, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102944-102944
Closed Access | Times Cited: 1
Anomaly detection in laser powder bed fusion using machine learning: A review
Tayyaba Sahar, Muhammad Rauf, Ahmar Murtaza, et al.
Results in Engineering (2022) Vol. 17, pp. 100803-100803
Open Access | Times Cited: 32
Vision on metal additive manufacturing: Developments, challenges and future trends
Alain Bernard, Jean‐Pierre Kruth, Jian Cao, et al.
CIRP journal of manufacturing science and technology (2023) Vol. 47, pp. 18-58
Open Access | Times Cited: 19
Digital twins for electro-physical, chemical, and photonic processes
Y. B. Guo, A. Klink, Paulo Bártolo, et al.
CIRP Annals (2023) Vol. 72, Iss. 2, pp. 593-619
Open Access | Times Cited: 18
Smart recoating: A digital twin framework for optimisation and control of powder spreading in metal additive manufacturing
Arden Phua, Peter S. Cook, C.H.J. Davies, et al.
Journal of Manufacturing Processes (2023) Vol. 99, pp. 382-391
Open Access | Times Cited: 14
A digital twin–driven monitoring framework for dual-robot collaborative manipulation
Jianguo Duan, Xiangrong Gong, Qinglei Zhang, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 9-10, pp. 4579-4599
Closed Access | Times Cited: 13
Advanced manufacturing and digital twin technology for nuclear energy*
Kunal Mondal, Oscar Martínez, Prashant Jain
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 5
A multi-level digital twin construction method of assembly line based on hybrid worker digital twin models
Xi Zhang, Ye Yang, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102597-102597
Closed Access | Times Cited: 5
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts
Haolin Fan, Hongji Zhang, Changyu Ma, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 257-269
Open Access | Times Cited: 5
A Proposed Methodology to Develop Digital Twin Framework for Plasma Processing
Alasdair Mitchell, Xinyang Wei, Rongyan Sun, et al.
Results in Engineering (2024) Vol. 24, pp. 103462-103462
Open Access | Times Cited: 5
Simulation-in-the-loop additive manufacturing for real-time structural validation and digital twin development
Yanzhou Fu, Austin Downey, Lang Yuan, et al.
Additive manufacturing (2025), pp. 104631-104631
Closed Access
Industrial applications of digital twins: A systematic investigation based on bibliometric analysis
Jiangzhuo Ren, Rafiq Ahmad, Dabing Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103264-103264
Closed Access
Digital Twin for Autonomous Decision-Making in Gas Lift Operations: Improving Reliability and Adaptability
Carine M. Rebello, Johannes Jäschke, Idelfonso B. R. Nogueira
IFAC-PapersOnLine (2025) Vol. 59, Iss. 1, pp. 55-60
Open Access
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