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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 Novel Framework for Integration of Abstracted Inspection Data and Structural Health Monitoring for Damage Prognosis of Miter Gates
Manuel A. Vega, Zhen Hu, Travis B. Fillmore, et al.
Reliability Engineering & System Safety (2021) Vol. 211, pp. 107561-107561
Closed Access | Times Cited: 21

Showing 21 citing articles:

A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
Adam Thelen, Xiaoge Zhang, Olga Fink, et al.
Structural and Multidisciplinary Optimization (2022) Vol. 65, Iss. 12
Open Access | Times Cited: 191
Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges
Yanwen Xu, Sara Kohtz, Jessica Boakye, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108900-108900
Open Access | Times Cited: 185
A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring
Sahar Hassani, Ulrike Dackermann
Sensors (2023) Vol. 23, Iss. 4, pp. 2204-2204
Open Access | Times Cited: 175
Deep learning-based structural health monitoring
Young‐Jin Cha, Rahmat Ali, J. S. Lewis, et al.
Automation in Construction (2024) Vol. 161, pp. 105328-105328
Open Access | Times Cited: 80
A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
Adam Thelen, Xiaoge Zhang, Olga Fink, et al.
Structural and Multidisciplinary Optimization (2022) Vol. 66, Iss. 1
Closed Access | Times Cited: 78
Structural health monitoring of inland navigation structures and ports: a review on developments and challenges
Prateek Negi, Rolands Kromanis, Andries G. Dorée, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 605-645
Open Access | Times Cited: 22
An Intelligent Health diagnosis and Maintenance Decision-making approach in Smart Manufacturing
Guibing Gao, Dengming Zhou, Hao Tang, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 107965-107965
Closed Access | Times Cited: 34
An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters
D.J. Jerez, H.A. Jensen, Michael Beer
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108634-108634
Closed Access | Times Cited: 25
A review of physics-based learning for system health management
Samir Khan, Takehisa Yairi, Seiji Tsutsumi, et al.
Annual Reviews in Control (2024) Vol. 57, pp. 100932-100932
Closed Access | Times Cited: 5
Model correction and updating of a stochastic degradation model for failure prognostics of miter gates
Chen Jiang, Manuel A. Vega, Michael D. Todd, et al.
Reliability Engineering & System Safety (2021) Vol. 218, pp. 108203-108203
Open Access | Times Cited: 24
A recursive inference method based on invertible neural network for multi-level model updating using video monitoring data
Jice Zeng, Michael D. Todd, Zhen Hu
Mechanical Systems and Signal Processing (2023) Vol. 203, pp. 110736-110736
Closed Access | Times Cited: 9
Metrics for evaluating the performance of complex engineering system health monitoring models
Austin D. Lewis, Katrina M. Groth
Reliability Engineering & System Safety (2022) Vol. 223, pp. 108473-108473
Closed Access | Times Cited: 15
An optimal sensor design framework accounting for sensor reliability over the structural life cycle
Yichao Yang, Mayank Chadha, Zhen Hu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110673-110673
Closed Access | Times Cited: 8
Diagnostics and prognostics of multi-mode failure scenarios in miter gates using multiple data sources and a dynamic Bayesian network
Zihan Wu, Travis B. Fillmore, Manuel A. Vega, et al.
Structural and Multidisciplinary Optimization (2022) Vol. 65, Iss. 9
Closed Access | Times Cited: 13
Optimization of unmanned aerial vehicle inspection strategy for infrastructure based on model-enabled diagnostics and prognostics
Zihan Wu, Jice Zeng, Zhen Hu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110841-110841
Closed Access | Times Cited: 7
Data Augmentation Based on Image Translation for Bayesian Inference-Based Damage Diagnostics of Miter Gates
Yichao Zeng, Jice Zeng, Michael D. Todd, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2024) Vol. 11, Iss. 1
Closed Access | Times Cited: 2
A copula-based quantified airworthiness modelling for civil aircraft engines
Hang Zhou, Ajith Kumar Parlikad, Alexandra Brintrup, et al.
Probabilistic Engineering Mechanics (2023) Vol. 73, pp. 103481-103481
Open Access | Times Cited: 4
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference
Jice Zeng, Michael D. Todd, Zhao Zhao, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
Diagnosis, Prognosis, and Maintenance Decision Making for Civil Infrastructure: Bayesian Data Analytics and Machine Learning
Manuel A. Vega, Zhen Hu, Yichao Yang, et al.
Structural integrity (2021), pp. 45-73
Open Access | Times Cited: 8
On a simple scheme for systems modeling and identification using big data techniques
Sebastian T. Glavind, Juan G. Sepúlveda, Michael Havbro Faber
Reliability Engineering & System Safety (2021) Vol. 220, pp. 108219-108219
Closed Access | Times Cited: 7
Structural Health Monitoring and Failure Analysis of Large-Scale Hydro-Steel Structures, Based on Multi-Sensor Information Fusion
Helin Li, Huadong Zhao, Yonghao Shen, et al.
Water (2024) Vol. 16, Iss. 22, pp. 3167-3167
Open Access
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