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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 unified framework for multilevel uncertainty quantification in Bayesian inverse problems
Joseph B. Nagel, Bruno Sudret
Probabilistic Engineering Mechanics (2015) Vol. 43, pp. 68-84
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
Ramin Bostanabad, Yichi Zhang, Xiaolin Li, et al.
Progress in Materials Science (2018) Vol. 95, pp. 1-41
Open Access | Times Cited: 340
Constructing Quasi-Site-Specific Multivariate Probability Distribution Using Hierarchical Bayesian Model
Jianye Ching, Stephen Wu, Kok‐Kwang Phoon
Journal of Engineering Mechanics (2021) Vol. 147, Iss. 10
Closed Access | Times Cited: 65
A surrogate-assisted stochastic optimization inversion algorithm: Parameter identification of dams
Yifei Li, Mohammad Amin Hariri‐Ardebili, TongFa Deng, et al.
Advanced Engineering Informatics (2022) Vol. 55, pp. 101853-101853
Closed Access | Times Cited: 38
Dimensional decomposition-aided metamodels for uncertainty quantification and optimization in engineering: A review
Heng Zhao, Chao Fu, Yaqiong Zhang, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 428, pp. 117098-117098
Closed Access | Times Cited: 13
Data-driven hierarchical Bayesian model for predicting wall deflections in deep excavations in clay
Mohammad Tabarroki, Jianye Ching, Shih-Hsiang Yuan, et al.
Computers and Geotechnics (2024) Vol. 168, pp. 106135-106135
Closed Access | Times Cited: 7
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation
Joseph B. Nagel, Jörg Rieckermann, Bruno Sudret
Reliability Engineering & System Safety (2019) Vol. 195, pp. 106737-106737
Open Access | Times Cited: 70
Probabilistic hierarchical Bayesian framework for time-domain model updating and robust predictions
Omid Sedehi, Costas Papadimitriou, Lambros S. Katafygiotis
Mechanical Systems and Signal Processing (2018) Vol. 123, pp. 648-673
Closed Access | Times Cited: 68
Digital twinning of self-sensing structures using the statistical finite element method
Eky Febrianto, Liam Butler, Mark Girolami, et al.
Data-Centric Engineering (2022) Vol. 3
Open Access | Times Cited: 36
An efficient solution method for inverse problems with high-dimensional model uncertainty parameters
Yue Zhao, Jie Liu
Structural and Multidisciplinary Optimization (2025) Vol. 68, Iss. 1
Closed Access
Quantification of uncertainty information in remaining useful life estimation
Changdong Zhao, Shihu Xiang, Songhua Hao, et al.
Applied Mathematical Modelling (2025), pp. 115992-115992
Closed Access
Hierarchical Bayesian operational modal analysis: Theory and computations
Omid Sedehi, Lambros S. Katafygiotis, Costas Papadimitriou
Mechanical Systems and Signal Processing (2020) Vol. 140, pp. 106663-106663
Open Access | Times Cited: 46
On Digital Twins, Mirrors, and Virtualizations: Frameworks for Model Verification and Validation
Keith Worden, Elizabeth J. Cross, R. J. Barthorpe, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2020) Vol. 6, Iss. 3
Open Access | Times Cited: 39
An analytically tractable solution for hierarchical Bayesian model updating with variational inference scheme
Xinyu Jia, Wang‐Ji Yan, Costas Papadimitriou, et al.
Mechanical Systems and Signal Processing (2023) Vol. 189, pp. 110060-110060
Closed Access | Times Cited: 14
Uncertainty Quantification of the Short‐ and Long‐Term Behavior of COx Claystone and Reliability Analysis of the IL‐LLW Repository's Concrete Liner Based on In Situ Convergence Data
Duc‐Phi Do, Minh‐Ngoc Vu, T.S. Nguyen, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2025)
Closed Access
Basic Framework and Main Methods of Uncertainty Quantification
Juan Zhang, Junping Yin, Ruili Wang
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-18
Open Access | Times Cited: 37
Data-driven probabilistic quantification and assessment of the prediction error model in damage detection applications
Nicholas Ε. Silionis, Konstantinos N. Anyfantis
Probabilistic Engineering Mechanics (2023) Vol. 71, pp. 103412-103412
Closed Access | Times Cited: 12
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
Spectral likelihood expansions for Bayesian inference
Joseph B. Nagel, Bruno Sudret
Journal of Computational Physics (2016) Vol. 309, pp. 267-294
Open Access | Times Cited: 35
Data-driven uncertainty quantification and propagation in structural dynamics through a hierarchical Bayesian framework
Omid Sedehi, Costas Papadimitriou, Lambros S. Katafygiotis
Probabilistic Engineering Mechanics (2020) Vol. 60, pp. 103047-103047
Open Access | Times Cited: 27
Hierarchical Bayesian uncertainty quantification of Finite Element models using modal statistical information
Omid Sedehi, Costas Papadimitriou, Lambros S. Katafygiotis
Mechanical Systems and Signal Processing (2022) Vol. 179, pp. 109296-109296
Open Access | Times Cited: 18
Reliability analysis of complex structures based on Bayesian inference
Daniel Tonelli, Angela Beltempo, Carlo Cappello, et al.
Structural Health Monitoring (2023) Vol. 22, Iss. 5, pp. 3481-3497
Closed Access | Times Cited: 9
Optimal design of experiments for optimization-based model calibration using Fisher information matrix
Yongsu Jung, Ikjin Lee
Reliability Engineering & System Safety (2021) Vol. 216, pp. 107968-107968
Closed Access | Times Cited: 21
Variational Bayesian approximation of inverse problems using sparse precision matrices
Jan Povala, Ieva Kazlauskaite, Eky Febrianto, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 393, pp. 114712-114712
Open Access | Times Cited: 15
Hierarchical Stochastic Model in Bayesian Inference for Engineering Applications: Theoretical Implications and Efficient Approximation
Stephen Wu, Panagiotis Angelikopoulos, James L. Beck, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2018) Vol. 5, Iss. 1
Closed Access | Times Cited: 27
Hamiltonian Monte Carlo and Borrowing Strength in Hierarchical Inverse Problems
Joseph B. Nagel, Bruno Sudret
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2015) Vol. 2, Iss. 3
Closed Access | Times Cited: 25
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