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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:

Cloud-based manufacturing equipment and big data analytics to enable on-demand manufacturing services
Yuqian Lu, Xun Xu
Robotics and Computer-Integrated Manufacturing (2018) Vol. 57, pp. 92-102
Closed Access | Times Cited: 246

Showing 1-25 of 246 citing articles:

Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues
Yuqian Lu, Chao Liu, Kevin I‐Kai Wang, et al.
Robotics and Computer-Integrated Manufacturing (2019) Vol. 61, pp. 101837-101837
Open Access | Times Cited: 1058
A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives
Kendrik Yan Hong Lim, Pai Zheng, Chun‐Hsien Chen
Journal of Intelligent Manufacturing (2019) Vol. 31, Iss. 6, pp. 1313-1337
Closed Access | Times Cited: 549
The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review
Ting Zheng, Marco Ardolino, Andrea Bacchetti, et al.
International Journal of Production Research (2020) Vol. 59, Iss. 6, pp. 1922-1954
Closed Access | Times Cited: 531
Connecting circular economy and industry 4.0
Shubhangini Rajput, Surya Prakash Singh
International Journal of Information Management (2019) Vol. 49, pp. 98-113
Closed Access | Times Cited: 502
Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios
Yuqian Lu, Xun Xu, Lihui Wang
Journal of Manufacturing Systems (2020) Vol. 56, pp. 312-325
Closed Access | Times Cited: 391
A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin
Weichao Luo, Tianliang Hu, Yingxin Ye, et al.
Robotics and Computer-Integrated Manufacturing (2020) Vol. 65, pp. 101974-101974
Closed Access | Times Cited: 384
The Potential of Additive Manufacturing in the Smart Factory Industrial 4.0: A Review
Mehrshad Mehrpouya, Amir Dehghanghadikolaei, Behzad Fotovvati, et al.
Applied Sciences (2019) Vol. 9, Iss. 18, pp. 3865-3865
Open Access | Times Cited: 323
Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions
Anbesh Jamwal, Rajeev Agrawal, Monica Sharma, et al.
Applied Sciences (2021) Vol. 11, Iss. 12, pp. 5725-5725
Open Access | Times Cited: 298
Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model
Jiewu Leng, Qiang Liu, Shide Ye, et al.
Robotics and Computer-Integrated Manufacturing (2019) Vol. 63, pp. 101895-101895
Closed Access | Times Cited: 278
Industry 4.0 smart reconfigurable manufacturing machines
Jeff Morgan, Mark Halton, Yuansong Qiao, et al.
Journal of Manufacturing Systems (2021) Vol. 59, pp. 481-506
Open Access | Times Cited: 232
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities
Adrien Bécue, Isabel Praça, João Gama
Artificial Intelligence Review (2021) Vol. 54, Iss. 5, pp. 3849-3886
Closed Access | Times Cited: 226
A review of industrial big data for decision making in intelligent manufacturing
Chunquan Li, Yaqiong Chen, Yuling Shang
Engineering Science and Technology an International Journal (2021) Vol. 29, pp. 101021-101021
Open Access | Times Cited: 221
Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework
Sachin Kamble, Angappa Gunasekaran, Harsh Parekh, et al.
Technological Forecasting and Social Change (2021) Vol. 176, pp. 121448-121448
Closed Access | Times Cited: 200
A digital twin-driven approach for the assembly-commissioning of high precision products
Xuemin Sun, Jinsong Bao, Jie Li, et al.
Robotics and Computer-Integrated Manufacturing (2019) Vol. 61, pp. 101839-101839
Closed Access | Times Cited: 188
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: 186
Digital Twins for the built environment: learning from conceptual and process models in manufacturing
Juan Manuel Dávila Delgado, Lukumon O. Oyedele
Advanced Engineering Informatics (2021) Vol. 49, pp. 101332-101332
Open Access | Times Cited: 183
Web-based digital twin modeling and remote control of cyber-physical production systems
Chao Liu, Pingyu Jiang, Wenlei Jiang
Robotics and Computer-Integrated Manufacturing (2020) Vol. 64, pp. 101956-101956
Closed Access | Times Cited: 180
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems
Chao Liu, Léopold Le Roux, Carolin Körner, et al.
Journal of Manufacturing Systems (2020) Vol. 62, pp. 857-874
Open Access | Times Cited: 167
A review on the characteristics of cyber-physical systems for the future smart factories
Alessia Napoleone, Marco Macchi, Alessandro Pozzetti
Journal of Manufacturing Systems (2020) Vol. 54, pp. 305-335
Open Access | Times Cited: 158
Industry 4.0 for SMEs
Dominik T. Matt, Vladimír Modrák, Helmut Zsifkovits
Springer eBooks (2020)
Closed Access | Times Cited: 143
Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept
Kamil Židek, Ján Piteľ, Milan Adámek, et al.
Sustainability (2020) Vol. 12, Iss. 9, pp. 3658-3658
Open Access | Times Cited: 139
Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing
Gang Wang, Geng Zhang, Xin Guo, et al.
Journal of Manufacturing Systems (2021) Vol. 59, pp. 165-179
Closed Access | Times Cited: 113
The application of digital twin technology in operations and supply chain management: a bibliometric review
Rajinder Bhandal, Royston Meriton, Richard Kavanagh, et al.
Supply Chain Management An International Journal (2022) Vol. 27, Iss. 2, pp. 182-206
Closed Access | Times Cited: 86
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Dinesh Soni, Neetesh Kumar
Journal of Network and Computer Applications (2022) Vol. 205, pp. 103419-103419
Closed Access | Times Cited: 68
Digital twin and its potential applications in construction industry: State-of-art review and a conceptual framework
Shuaiming Su, Ray Y. Zhong, Yishuo Jiang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102030-102030
Closed Access | Times Cited: 49
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