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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:

A dynamic data driven reliability prognosis method for structural digital twin and experimental validation
Yumei Ye, Qiang Yang, Jingang Zhang, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109543-109543
Closed Access | Times Cited: 15

Showing 15 citing articles:

A Physical‒Data-Driven Combined Strategy for Load Identification of Tire Type Rail Transit Vehicle
Yuanjin Ji, Youpei Huang, Junwei Zeng, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110493-110493
Closed Access | Times Cited: 21
Digital twin Bayesian entropy framework for corrosion fatigue life prediction and calibration of bridge suspender
Yu He, Yafei Ma, Ke Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110456-110456
Closed Access | Times Cited: 8
Diagnostic-prognostic framework for assessing the health status of composite structures
Yang Zhang, Maciej Radzieński, Wiesław Ostachowicz
International Journal of Mechanical Sciences (2024) Vol. 278, pp. 109461-109461
Closed Access | Times Cited: 6
A robust hybrid reliability index solution approach for a novel reliability digital twin updating process framework of composite structures
Xiaojun Ding, Ling Zhou, Jiale Zuo, et al.
Journal of Mechanical Science and Technology (2025)
Closed Access
A Credible Interval Model Updating Method for Structural Population Analysis and Design Stages Based on Small Samples
Yang Cao, Xiaojun Wang
Reliability Engineering & System Safety (2025), pp. 110996-110996
Closed Access
Predictive maintenance of standalone steel industrial components powered by a dynamic reliability digital twin model with artificial intelligence
Diego D’Urso, Ferdinando Chıacchıo, Salvatore Cavalieri, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109859-109859
Closed Access | Times Cited: 14
Dynamic Structural Reliability Analysis of Hypersonic Vehicles Based on Stochastic Processes
Jiale He, Mengqun Ou, Yuhui Wang, et al.
Lecture notes in electrical engineering (2025), pp. 1-10
Closed Access
3D laser scanning for automated structural modeling and deviation monitoring of multi-section prefabricated cable domes
Ailin Zhang, Hao Ma, Xi Zhao, et al.
Automation in Construction (2024) Vol. 165, pp. 105573-105573
Closed Access | Times Cited: 3
A life cycle reliability testing and assessment method for deepwater oil and gas equipment systems
Chuntan Gao, Baoping Cai, Yanping Zhang, et al.
Ocean Engineering (2024) Vol. 311, pp. 118928-118928
Closed Access | Times Cited: 2
A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data
Tapas Tripura, Souvik Chakraborty
Mechanical Systems and Signal Processing (2024) Vol. 221, pp. 111737-111737
Open 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
A Shared Metrological Framework for Trustworthy Virtual Experiments and Digital Twins
Giacomo Maculotti, Manuel Marschall, Gertjan Kok, et al.
Metrology (2024) Vol. 4, Iss. 3, pp. 337-363
Open Access
Joint optimization of production, inspection, and maintenance under finite time for smart manufacturing systems
Xiaolei Lv, Liangxing Shi, Yingdong He, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110490-110490
Closed Access
A novel multi-stage precision reliability assessment method for mechanical system by Bayesian fusion
Xiaogang Zhang, Wei Chen, Hongwei Wang, et al.
Computers & Industrial Engineering (2024), pp. 110744-110744
Closed Access
A digital twin modeling method based on multi-source crack growth prediction data fusion
Xin Fang, Guijie Liu, Honghui Wang, et al.
Engineering Failure Analysis (2023) Vol. 154, pp. 107645-107645
Closed Access
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