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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:

State-of-the-art review on Bayesian inference in structural system identification and damage assessment
Yong Huang, Changsong Shao, Biao Wu, et al.
Advances in Structural Engineering (2018) Vol. 22, Iss. 6, pp. 1329-1351
Open Access | Times Cited: 151

Showing 1-25 of 151 citing articles:

Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019
Rongrong Hou, Yong Xia
Journal of Sound and Vibration (2020) Vol. 491, pp. 115741-115741
Open Access | Times Cited: 466
Review of finite element model updating methods for structural applications
Suzana Ereiz, Ivan Duvnjak, Javier Fernando Jiménez‐Alonso
Structures (2022) Vol. 41, pp. 684-723
Open Access | Times Cited: 161
A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement
Sahar Hassani, Ulrike Dackermann
Sensors (2023) Vol. 23, Iss. 6, pp. 3293-3293
Open Access | Times Cited: 57
Towards vibration-based damage detection of civil engineering structures: overview, challenges, and future prospects
Ali Zar, Zahoor Hussain, Muhammad Akbar, et al.
International Journal of Mechanics and Materials in Design (2024) Vol. 20, Iss. 3, pp. 591-662
Open Access | Times Cited: 14
Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling
Pinghe Ni, Jun Li, Hong Hao, et al.
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 383, pp. 113915-113915
Closed Access | Times Cited: 69
Development of Intelligent Technologies in SHM on the Innovative Diagnosis in Civil Engineering—A Comprehensive Review
D. S. Vijayan, Arvindan Sivasuriyan, D. Parthiban, et al.
Buildings (2023) Vol. 13, Iss. 8, pp. 1903-1903
Open Access | Times Cited: 22
Machine learning aided uncertainty quantification for engineering structures involving material-geometric randomness and data imperfection
Qihan Wang, Di Wu, Guoyin Li, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 423, pp. 116868-116868
Open Access | Times Cited: 11
Improved hierarchical Bayesian modeling framework with arbitrary polynomial chaos for probabilistic model updating
Q.Q. Li, Xiuli Du, Pinghe Ni, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111409-111409
Closed Access | Times Cited: 10
Damage features for structural health monitoring based on ultrasonic Lamb waves: Evaluation criteria, survey of recent work and outlook
Houyu Lu, B. S. Subhash Chandran, Wen Wu, et al.
Measurement (2024) Vol. 232, pp. 114666-114666
Closed Access | Times Cited: 10
Concrete gravity dams model parameters updating using static measurements
Giacomo Sevieri, Marco Andreini, Anna De Falco, et al.
Engineering Structures (2019) Vol. 196, pp. 109231-109231
Open Access | Times Cited: 60
Dynamic structural health monitoring for concrete gravity dams based on the Bayesian inference
Giacomo Sevieri, Anna De Falco
Journal of Civil Structural Health Monitoring (2020) Vol. 10, Iss. 2, pp. 235-250
Open Access | Times Cited: 56
Bayesian model updating of civil structures with likelihood-free inference approach and response reconstruction technique
Pinghe Ni, Qiang Han, Xiuli Du, et al.
Mechanical Systems and Signal Processing (2021) Vol. 164, pp. 108204-108204
Closed Access | Times Cited: 47
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
Real-time Bayesian damage identification enabled by sparse PCE-Kriging meta-modelling for continuous SHM of large-scale civil engineering structures
Enrique García‐Macías, Filippo Ubertini
Journal of Building Engineering (2022) Vol. 59, pp. 105004-105004
Open Access | Times Cited: 36
Comparison between Bayesian updating and approximate Bayesian computation for model identification of masonry towers through dynamic data
Silvia Monchetti, Cecilia Viscardi, Michele Betti, et al.
Bulletin of Earthquake Engineering (2023) Vol. 22, Iss. 7, pp. 3491-3509
Open Access | Times Cited: 20
Sparse Bayesian technique for load identification and full response reconstruction
Yixian Li, Xiaoyou Wang, Yong Xia, et al.
Journal of Sound and Vibration (2023) Vol. 553, pp. 117669-117669
Closed Access | Times Cited: 17
Damage localization and robust diagnostics in guided-wave testing using multitask complex hierarchical sparse Bayesian learning
Shicheng Xue, Wensong Zhou, James L. Beck, et al.
Mechanical Systems and Signal Processing (2023) Vol. 197, pp. 110365-110365
Closed Access | Times Cited: 16
A comprehensive review on health monitoring of joints in steel structures
Maloth Naresh, Vimal Kumar, Joy Pal, et al.
Smart Materials and Structures (2024) Vol. 33, Iss. 7, pp. 073004-073004
Closed Access | Times Cited: 6
Bayesian inference of the spatial distribution of steel corrosion in reinforced concrete structures using corrosion-induced crack width
Siyi Jia, Mitsuyoshi Akiyama, Dan M. Frangopol, et al.
Structural Safety (2024) Vol. 111, pp. 102518-102518
Open Access | Times Cited: 6
Bayesian updating using accelerated Hamiltonian Monte Carlo with gradient-enhanced Kriging model
Qiang Li, Pinghe Ni, Xiuli Du, et al.
Computers & Structures (2024) Vol. 307, pp. 107598-107598
Closed Access | Times Cited: 5
Adaptive meta-learning stochastic gradient Hamiltonian Monte Carlo simulation for Bayesian updating of structural dynamic models
Xianghao Meng, James L. Beck, Yong Huang, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117753-117753
Closed Access
Bayesian generative kernel Gaussian process regression
Sin‐Chi Kuok, S. Yao, Ka‐Veng Yuen, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112395-112395
Closed Access
State-of-art review on load identification and response reconstruction to realize digital twin of infrastructures
Yixian Li, Lanxin Luo, Xiaoyou Wang, et al.
Advances in Structural Engineering (2025)
Closed Access
Resilience assessment approach of mechanical structure combining finite element models and dynamic Bayesian networks
Yanping Zhang, Baoping Cai, Yiliu Liu, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 108043-108043
Closed Access | Times Cited: 32
Deterministic and probabilistic-based model updating of aging steel bridges
Brais Barros, Borja Conde, Manuel Cabaleiro, et al.
Structures (2023) Vol. 54, pp. 89-105
Open Access | Times Cited: 14
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