Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 24 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
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110796-110796
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
A Physics-Constrained Bayesian neural network for battery remaining useful life prediction
David Najera-Flores, Zhen Hu, Mayank Chadha, et al.
Applied Mathematical Modelling (2023) Vol. 122, pp. 42-59
Open Access | Times Cited: 24
Physics-informed Gaussian Process Probabilistic Modeling with Multi-source Data for Prognostics of Degradation Processes
Chen Jiang, Teng Zhong, Hyunhee Choi, et al.
Reliability Engineering & System Safety (2025), pp. 110893-110893
Closed Access | Times Cited: 1
Deep Koopman Operator-based degradation modelling
Sergei Garmaev, Olga Fink
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110351-110351
Open Access | Times Cited: 6
Digital twin-driven intelligent operation and maintenance platform for large-scale hydro-steel structures
Helin Li, Rui Zhang, Shufeng Zheng, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102661-102661
Closed Access | Times Cited: 5
Vision-based model updating and evaluation of miter gates on inland waterways
Shuo Wang, Casey Rodgers, Travis B. Fillmore, et al.
Engineering Structures (2023) Vol. 280, pp. 115674-115674
Closed Access | Times Cited: 12
Sensor fault detection of vehicle suspension systems based on transmissibility operators and Neyman–Pearson test
Ying Wang, Xueke Zheng, Le Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 232, pp. 109067-109067
Closed Access | Times Cited: 11
Recent advances in uncertainty quantification in structural response characterization and system identification
Kai Zhou, Zequn Wang, Qingbin Gao, et al.
Probabilistic Engineering Mechanics (2023) Vol. 74, pp. 103507-103507
Closed Access | Times Cited: 11
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
Probabilistic physics-informed machine learning for dynamic systems
Abhinav Subramanian, Sankaran Mahadevan
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108899-108899
Open Access | Times Cited: 16
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
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
Bayesian calibration of multi-level model with unobservable distributed response and application to miter gates
Chen Jiang, Manuel A. Vega, Mukesh K. Ramancha, et al.
Mechanical Systems and Signal Processing (2022) Vol. 170, pp. 108852-108852
Open Access | Times Cited: 13
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
Neural ordinary differential equation for sequential optimal design of fatigue test under accelerated life test analysis
Marzieh Khakifirooz, Michel Fathi, I‐Chen Lee, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109242-109242
Closed Access | Times Cited: 6
Simplified models of remaining useful life based on stochastic orderings
Luciano Sánchez, Nahuel Costa, Inés Couso
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109321-109321
Open Access | Times Cited: 5
Physics-Informed Machine Learning Part I: Different Strategies to Incorporate Physics into Engineering Problems
Eleonora M. Tronci, Austin Downey, Azin Mehrjoo, et al.
Conference proceedings of the Society for Experimental Mechanics (2024), pp. 1-6
Closed Access | Times Cited: 1
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
A tutorial on digital twins for predictive maintenance
Zhen Hu, Chao Hu, Weifei Hu
Elsevier eBooks (2024), pp. 453-501
Closed Access
Multi-modal model updating of miter gates on navigational locks
Travis B. Fillmore, Shuo Wang, Clayton Thurmer, et al.
Structural Health Monitoring (2024)
Closed Access
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
arXiv (Cornell University) (2023)
Open Access
Page 1

Scroll to top