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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:

The advance of digital twin for predictive maintenance: The role and function of machine learning
Chong Chen, Huibin Fu, Yu Zheng, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 581-594
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Generative artificial intelligence of things systems, multisensory immersive extended reality technologies, and algorithmic big data simulation and modelling tools in digital twin industrial metaverse
Tomáš Klieštik, Pavol Kráľ, Martin Bugaj, et al.
Equilibrium Quarterly Journal of Economics and Economic Policy (2024) Vol. 19, Iss. 2, pp. 429-461
Open Access | Times Cited: 22
PREDICTIVE ANALYTICS IN THE MAINTENANCE AND RELIABILITY OF SATELLITE TELECOMMUNICATIONS INFRASTRUCTURE: A CONCEPTUAL REVIEW OF STRATEGIES AND TECHNOLOGICAL ADVANCEMENTS
Nneka Adaobi Ochuba, Favour Oluwadamilare Usman, Enyinaya Stefano Okafor, et al.
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 3, pp. 704-715
Open Access | Times Cited: 15
Artificial Intelligence, Machine Learning, and Smart Technologies for Nondestructive Evaluation
Hossein Taheri, A. Beni
(2025), pp. 1-29
Closed Access | Times Cited: 1
Prognostics and health management for predictive maintenance: A review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 78-101
Closed Access | Times Cited: 12
Digital Twins Enabling Intelligent Manufacturing: From Methodology to Application
Shuguo Hu, Changhe Li, Benkai Li, et al.
Intelligent and sustainable manufacturing (2024) Vol. 1, Iss. 1, pp. 10007-10007
Open Access | Times Cited: 10
Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects
Y Wan, Ying Liu, Zhenyuan Chen, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 103-132
Open Access | Times Cited: 8
Applications of Machine Learning in Real-Time Control Systems: A Review
Xiaoning Zhao, Yougang Sun, Y.Y. Li, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012003-012003
Closed 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
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Incentivizing task offloading in IoT: A distributed auctions-based DRL approach
Soumeya Demil, Mohammed Riyadh Abdmeziem
Internet of Things (2025) Vol. 30, pp. 101493-101493
Closed Access
Online behavioral matching for proton exchange membrane water electrolyzers: A digital twin approach
Shaojie Liu, YangQuan Chen, Yongdong Wang, et al.
Applied Energy (2025) Vol. 384, pp. 125375-125375
Closed Access
Integrating large language model and digital twins in the context of industry 5.0: Framework, challenges and opportunities
Chong Chen, K Zhao, Jiewu Leng, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102982-102982
Closed Access
Digital twin for product design collaboration: a systematic literature review
Eduardo Silveira da Trindade, Cristiano André da Costa, Vinicius Costa de Souza
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Digital twin for smart wireless sensor networks
Abidemi Emmanuel Adeniyi, Halleluyah Oluwatobi Aworinde, Odunayo Dauda Olanloye, et al.
Elsevier eBooks (2025), pp. 271-302
Closed Access
A Hierarchical and Self-Evolving Digital Twin (HSE-DT) Method for Multi-Faceted Battery Situation Awareness Realisation
Kai Zhao, Ying Liu, Yue Zhou, et al.
Machines (2025) Vol. 13, Iss. 3, pp. 175-175
Open Access
Overview: Application Status and Prospects of Digital Twin Technology in Mechanical Cutting Processing
Xin Li, Gao Hanjun, Chen Xioman, et al.
Journal of Industrial Information Integration (2025), pp. 100822-100822
Closed Access
Recent Progress in Digital Twin-Driven Fault Diagnosis of Rotating Machinery：A Comprehensive Review
Zhang Pengbo, Renxiang Chen, Lixia Yang, et al.
Neurocomputing (2025), pp. 129914-129914
Closed Access
Advances and Challenges of Enhancing Operational Efficiency and Maintenance Protocols in the Construction Industry by Combining DT, AI, and Optimization
Mateja Držečnik, Uroš Klanšek
Advances in business information systems and analytics book series (2025), pp. 225-284
Closed Access
GARCH family models oriented health indicators for bearing degradation monitoring
Zongyang Liu, Hao Li, Jing Lin, et al.
Measurement (2024) Vol. 231, pp. 114604-114604
Closed Access | Times Cited: 3
A chance-constrained net revenue model for online dynamic predictive maintenance decision-making
Guannan Shi, Xiaohong Zhang, Jianchao Zeng, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110233-110233
Closed Access | Times Cited: 3
Cognitive digital twin-based Internet of Robotic Things, multi-sensory extended reality and simulation modeling technologies, and generative artificial intelligence and cyber–physical manufacturing systems in the immersive industrial metaverse
George Lăzăroiu, Tom Gedeon, Katarína Valašková, et al.
Equilibrium Quarterly Journal of Economics and Economic Policy (2024) Vol. 19, Iss. 3, pp. 719-748
Open Access | Times Cited: 3
Enhancing the maintenance strategy and cost in systems with surrogate assisted multiobjective evolutionary algorithms
David Greiner, Andrés Cacereño
Developments in the Built Environment (2024) Vol. 19, pp. 100478-100478
Open Access | Times Cited: 2
Towards an extensible model-based digital twin framework for space launch vehicles
Ran Wei, Ruizhe Yang, Shijun Liu, et al.
Journal of Industrial Information Integration (2024) Vol. 41, pp. 100641-100641
Open Access | Times Cited: 2
A Review of Digital Twinning for Rotating Machinery
Vamsi Inturi, Bidisha Ghosh, G. R. Sabareesh, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 5002-5002
Open Access | Times Cited: 2
A novel fault early warning method for centrifugal blowers based on stacked denoising autoencoder and transfer learning
Zhang You, Congbo Li, Ying Tang, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 443-456
Closed Access | Times Cited: 2
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