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 26-50 of 65 citing articles:

Digital-Twin-Assisted Skill Learning for 3C Assembly Tasks
Fuchun Sun, Naijun Liu, Xinzhou Wang, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 7, pp. 3852-3863
Closed Access | Times Cited: 4

Digital Twin Implementation in Additive Manufacturing: A Comprehensive Review
Sabrine Ben Amor, Nessrine Elloumi, Ameni Eltaief, et al.
Processes (2024) Vol. 12, Iss. 6, pp. 1062-1062
Open Access | Times Cited: 4

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

Review of Digital Twin in the Automotive Industry on Products, Processes and Systems
Heli Liu, Binyuan Zhang, Vincent Wu, et al.
International Journal of Automotive Manufacturing and Materials (2025), pp. 6-6
Closed Access

Digital Twin for Maintenance and Smart Manufacturing: The Mediating Role of Replacement Maintenance in the Saudi Industrial Sector
Hamdy Elgebaly, Basma Elhariry, Amr Noureldin, et al.
Journal of Lifestyle and SDGs Review (2025) Vol. 5, Iss. 4, pp. 06107-06107
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

Integrating 3D printing, Simulations and Surrogate Modelling: A Comprehensive Study on Additive Manufacturing focusing on a metal Twin-Cantilever benchmark
C. Mallor, Sébastien Lani, V. Zambrano, et al.
Advances in Industrial and Manufacturing Engineering (2025), pp. 100162-100162
Open Access

General purpose digital twin framework using digital shadow and distributed system concepts
Ayman AboElHassan, Ahmed H. Sakr, Soumaya Yacout
Computers & Industrial Engineering (2023) Vol. 183, pp. 109534-109534
Closed Access | Times Cited: 10

A digital twin for smart manufacturing of structural composites by liquid moulding
Joaquín Fernández-León, Keayvan Keramati, Luis Baumela, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 130, Iss. 9-10, pp. 4679-4697
Closed Access | Times Cited: 3

ThermoPore: Predicting part porosity based on thermal images using deep learning
P. S. Pak, Francis Ogoke, Andrew Polonsky, et al.
Additive manufacturing (2024) Vol. 95, pp. 104503-104503
Open Access | Times Cited: 3

A Comprehensive Review and Future Perspectives of Simulation Approaches in Wire Arc Additive Manufacturing (WAAM)
Chen Zhao, Lei Yuan, Zhenxiao Pan, et al.
International Journal of Extreme Manufacturing (2024) Vol. 7, Iss. 2, pp. 022016-022016
Open Access | Times Cited: 3

A deep encoder-decoder for surrogate modelling of liquid moulding of composites
Joaquín Fernández-León, Keayvan Keramati, C. González, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105945-105945
Open Access | Times Cited: 7

HIDT: A Digital Twin modeling approach through hierarchical integration for industrial internet
Hongxia Zhang, Qiqi Feng, Mengde Wu, et al.
Computers & Industrial Engineering (2023) Vol. 181, pp. 109306-109306
Closed Access | Times Cited: 6

Fundamental requirements of a machine learning operations platform for industrial metal additive manufacturing
Mutahar Safdar, Padma Polash Paul, Guy Lamouche, et al.
Computers in Industry (2023) Vol. 154, pp. 104037-104037
Closed Access | Times Cited: 6

Understanding the structure and dynamics of local powder packing density variations in metal additive manufacturing using set Voronoi analysis
Arden Phua, J. R. Smith, C.H.J. Davies, et al.
Powder Technology (2023) Vol. 418, pp. 118272-118272
Open Access | Times Cited: 4

Heuristic evaluation for progressive additive manufacturing of industrial bending tubes based on reconfigurable transfer learning
Jinghua Xu, Linxuan Wang, Mingyu Gao, et al.
Progress in Additive Manufacturing (2023) Vol. 9, Iss. 4, pp. 959-981
Closed Access | Times Cited: 4

Improving sustainability of additive manufacturing processes based on digital twins – a case study
Jessica Kos, Philipp Schröder, Jakob Trauer, et al.
Proceedings of the Design Society (2024) Vol. 4, pp. 2089-2098
Open Access | Times Cited: 1

Exploring the integration of digital twin and additive manufacturing technologies
Nursultan Jyeniskhan, Kemel Shomenov, Md. Hazrat Ali, et al.
International Journal of Lightweight Materials and Manufacture (2024) Vol. 7, Iss. 6, pp. 860-881
Open Access | Times Cited: 1

Digital twin approach for machining with robotic manipulator
Van Chuong Le, Xuanyu Mao, M.Q. Tran, et al.
(2024), pp. 12-17
Closed Access | Times Cited: 1

Development of a digital twin system for acquiring surface features of solid models in light-curing additive manufacturing
Zhaoqi Zheng, Yonghong Wang, Jianfei Li, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 1

Subtractive manufacturing of composite materials with robotic manipulators: a comprehensive review
Van Chuong Le, M.Q. Tran, Songlin Ding
The International Journal of Advanced Manufacturing Technology (2024)
Open Access | Times Cited: 1

Enabling additive manufacturing part inspection of digital twins via collaborative virtual reality
Vuthea Chheang, Saurabh Narain, Garrett Hooten, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Towards intelligent cooperative robotics in additive manufacturing: Past, present, and future
Sean Rescsanski, Rainer J. Hebert, Azadeh Haghighi, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 93, pp. 102925-102925
Closed Access | Times Cited: 1

Current development of the metal additive manufacturing sustainability – A systematic review
Bruna Moura, Helena Monteiro
Environmental Impact Assessment Review (2024) Vol. 112, pp. 107778-107778
Closed Access | Times Cited: 1

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