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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:

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

Showing 23 citing articles:

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
Digital Twin Technology in Transportation Infrastructure: A Comprehensive Survey of Current Applications, Challenges, and Future Directions
Di Wu, Ao Zheng, Wenshuai Yu, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1911-1911
Open Access | Times Cited: 1
A Comprehensive Study on Additive Manufacturing Techniques, Machine Learning Integration, and Internet of Things-Driven Sustainability Opportunities
Santosh Kumar, Rakesh Kumar
Journal of Materials Engineering and Performance (2025)
Closed Access | Times Cited: 1
Digital Twins for Rapid In-Situ Qualification of Part Quality in Laser Powder Bed Fusion Additive Manufacturing
Benjamin D. Bevans, Antonio Carrington, Alex Riensche, et al.
(2024)
Closed Access | Times Cited: 5
Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review
Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, et al.
Future Internet (2024) Vol. 16, Iss. 11, pp. 394-394
Open Access | Times Cited: 5
A visualization method for cross-scale online monitoring of grinding state based on data-mechanism hybrid-driven digital twin system
Li Gan, Hongzhou Lu, Hao Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112293-112293
Closed Access
Role of artificial intelligence in data-centric additive manufacturing processes for biomedical applications
Saman Mohammadnabi, Nima Moslemy, Hadi Taghvaei, et al.
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2025) Vol. 166, pp. 106949-106949
Closed Access
Investigating performance and reliability of resistance spot welds on additively manufactured battery tabs using microscopic resolution ultrasonic imaging
Desmond Bourgeois, Jeong Na, Austin Tiley, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Open Access
Barriers to Adoption of Artificial Intelligence in Metal Additive Manufacturing
Wayne E. King
(2025)
Closed Access
DFFNet: a lightweight approach for efficient feature-optimized fusion in steel strip surface defect detection
Xianming Hu, Shouying Lin
Complex & Intelligent Systems (2024) Vol. 10, Iss. 5, pp. 6705-6723
Open Access | Times Cited: 3
Integrating industry 4.0 for enhanced sustainability: Pathways and prospects
Mohd Imran Khan, Tabassam Yasmeen, Mushtaq Khan, et al.
Sustainable Production and Consumption (2024)
Open Access | Times Cited: 2
Digital Twins for Rapid In-situ Qualification of Part Quality in Laser Powder Bed Fusion Additive Manufacturing
Benjamin D. Bevans, Antonio Carrington, Alex Riensche, et al.
Additive manufacturing (2024), pp. 104415-104415
Closed Access | Times Cited: 1
Machine learning-based digital twin of a conveyor belt for predictive maintenance
Valerio Pulcini, Gianfranco E. Modoni
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 11-12, pp. 6095-6110
Open Access | Times Cited: 1
Digital Twin Integration for Enhanced Control in FDM 3D Printing
Sourabh Anand, Manoj Kumar Satyarthi, Pushpendra S. Bharti, et al.
Springer series in advanced manufacturing (2024), pp. 373-388
Closed Access | Times Cited: 1
ENHANCED SURFACE QUALITY AND STRENGTH OF FDMed SPECIMENS USING BBD AND BIO-INSPIRED ALGORITHMS
A. Tamilarasan, A. Renugambal
Surface Review and Letters (2024) Vol. 32, Iss. 01
Closed Access
Digital Twins and Green Paths
Azeem Khan, N. Z. Jhanjhi, Sayan Kumar Ray
Advances in logistics, operations, and management science book series (2024), pp. 33-53
Closed Access
Improving Sustainability by Innovation in Electron and Laser Beam Powder Bed Fusion Technologies: A Patent-Analysis Approach
Fabrizia Devito, Angelo Natalicchio, Fulvio Lavecchia, et al.
(2024)
Closed Access
Developing an IoT-Enabled Digital Twin for Enhanced Industrial Refrigeration System Management
Zachary Nelson, Amal Alhosban
(2024), pp. 01-05
Closed Access
Digital twin technology training and research in health higher education: a review
Jyri Rajamäki
(2024), pp. 188-201
Open Access
Influence of Welding Processes on the Microstructure and Mechanical Properties of Duplex Stainless Steel Parts Fabricated by Wire Arc Additive Manufacturing
Prasanna Nagasai Bellamkonda, Maheshwar Dwivedy, S. Malarvizhi, et al.
Metals and Materials International (2024)
Closed Access
Twinning the future: Implementing digital twin technology in the optimisation of fibre-reinforced polymers
Abdalrahman Alajmi
MATEC Web of Conferences (2024) Vol. 401, pp. 11005-11005
Open Access
Blockchain Based Digital Twin for Smart Manufacturing
Amit Kumar Tyagi, Shabnam Kumari, Richa Richa, et al.
(2024), pp. 143-178
Closed Access
Advancing sustainability in Electron and laser beam powder Bed Fusion technologies via Innovation: Insights from patent analysis
Fabrizia Devito, Angelo Natalicchio, Fulvio Lavecchia, et al.
Computers & Industrial Engineering (2024), pp. 110794-110794
Open Access
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