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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:

Pipeline condition monitoring towards digital twin system: A case study
Teng Wang, Ke Feng, Jiatong Ling, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 256-274
Closed Access | Times Cited: 13

Showing 13 citing articles:

Multi-fidelity strength monitoring method for dynamic response of deep-sea pipelines based on digital-twin technology
Jianxing Yu, Zihang Jin, Yu Yang, et al.
Applied Ocean Research (2025) Vol. 154, pp. 104414-104414
Open Access | Times Cited: 1
Towards a digital twin framework in additive manufacturing: Machine learning and bayesian optimization for time series process optimization
Vispi Karkaria, Anthony Goeckner, Rujing Zha, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 322-332
Open Access | Times Cited: 13
Digital twin technology in oil and gas infrastructure: Policy requirements and implementation strategies
Andrew Emuobosa Esiri, Oludayo Olatoye Sofoluwe, Ayemere Ukato
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 6, pp. 2039-2049
Open Access | Times Cited: 12
Force and Stress Simulation in Experimentable Digital Twins Using the Transfer Matrix Method
Sebastian Schmid, Dorit Kaufmann, U. Dahmen, et al.
Applied Mechanics (2025) Vol. 6, Iss. 1, pp. 8-8
Open Access
Deep-sea pipeline damage identification using digital twin-assisted enhanced meta-transfer learning
Jianxing Yu, Zihang Jin, Yang Yu, et al.
Ocean Engineering (2025) Vol. 324, pp. 120723-120723
Closed Access
Review of Data Processing Methods Used in Predictive Maintenance for Next Generation Heavy Machinery
Ietezaz Ul Hassan, Krishna Panduru, J. L. Walsh
Data (2024) Vol. 9, Iss. 5, pp. 69-69
Open Access | Times Cited: 3
Reducing false damage detections in guided ultrasonic wave monitoring systems using a denoising autoencoder
Yon Kong Chen, Norhisham Bakhary, Khairul Hazman Padil, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-31
Closed Access | Times Cited: 1
Iterative updating of digital twin for equipment: Progress, challenges, and trends
Bin Zhang, Guofu Ding, Qing Zheng, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102773-102773
Closed Access | Times Cited: 1
Resilience-oriented adaptive predictive maintenance optimization for continuous process manufacturing systems considering mission profile variation
Yuqi Cai, Yihai He, Rui Shi, et al.
Computers & Industrial Engineering (2024) Vol. 197, pp. 110532-110532
Closed Access | Times Cited: 1
An explainable approach for prediction of remaining useful life in turbofan condition monitoring
Zahra Mansourvar, Mustafa Jahangoshai Rezaee, Milad Eshkevari
Neural Computing and Applications (2024)
Closed Access | Times Cited: 1
Deep learning-based fault diagnosis of planetary gearbox: A systematic review
Hassaan Ahmad, Wei Cheng, Ji Xing, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 730-745
Closed Access
A digital twin framework for anomaly detection in industrial robot system based on multiple physics-informed hybrid convolutional autoencoder
Shijie Wang, Jianfeng Tao, Qincheng Jiang, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 798-809
Closed Access
Pipeline and Rotating Pump Condition Monitoring Based on Sound Vibration Feature-Level Fusion
Yu Wan, Shaochen Lin, Yan Gao
Machines (2024) Vol. 12, Iss. 12, pp. 921-921
Open Access
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