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:

Bayesian system identification based on hierarchical sparse Bayesian learning and Gibbs sampling with application to structural damage assessment
Yong Huang, James L. Beck, Hui Li
Computer Methods in Applied Mechanics and Engineering (2017) Vol. 318, pp. 382-411
Open Access | Times Cited: 114

Showing 1-25 of 114 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

Data fusion approaches for structural health monitoring and system identification: Past, present, and future
Rih‐Teng Wu, Mohammad R. Jahanshahi
Structural Health Monitoring (2018) Vol. 19, Iss. 2, pp. 552-586
Closed Access | Times Cited: 187

Task-aware meta-learning paradigm for universal structural damage segmentation using limited images
Yang Xu, Yunlei Fan, Yuequan Bao, et al.
Engineering Structures (2023) Vol. 284, pp. 115917-115917
Closed Access | Times Cited: 41

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

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

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

Vision‐based displacement measurement using an unmanned aerial vehicle
Yitian Han, Gang Wu, Dongming Feng
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 10
Closed Access | Times Cited: 45

Towards probabilistic data‐driven damage detection in SHM using sparse Bayesian learning scheme
Qiang Wang, Yang Dai, Zhanguo Ma, et al.
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 11
Closed Access | Times Cited: 37

Computer-Vision and Machine-Learning-Based Seismic Damage Assessment of Reinforced Concrete Structures
Yang Xu, Yi Li, Xiaohang Zheng, et al.
Buildings (2023) Vol. 13, Iss. 5, pp. 1258-1258
Open Access | Times Cited: 24

Efficient Bayesian inference for finite element model updating with surrogate modeling techniques
Qiang Li, Xiuli Du, Pinghe Ni, et al.
Journal of Civil Structural Health Monitoring (2024) Vol. 14, Iss. 4, pp. 997-1015
Closed Access | Times Cited: 13

Bayesian finite element model updating with a variational autoencoder and polynomial chaos expansion
Qiang Li, Pinghe Ni, Xiuli Du, et al.
Engineering Structures (2024) Vol. 316, pp. 118606-118606
Closed Access | Times Cited: 12

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

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

Strategy for sensor number determination and placement optimization with incomplete information based on interval possibility model and clustering avoidance distribution index
Chen Yang, Ke Liang, Xuepan Zhang
Computer Methods in Applied Mechanics and Engineering (2020) Vol. 366, pp. 113042-113042
Closed Access | Times Cited: 62

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

Substructure approach for Bayesian probabilistic model updating using response reconstruction technique
Pinghe Ni, Qiang Li, Qiang Han, et al.
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109624-109624
Closed Access | Times Cited: 35

BUAK-AIS: Efficient Bayesian Updating with Active learning Kriging-based Adaptive Importance Sampling
Chaolin Song, Zeyu Wang, Abdollah Shafieezadeh, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 391, pp. 114578-114578
Open Access | Times Cited: 33

Nonlinear model updating through a hierarchical Bayesian modeling framework
Xinyu Jia, Omid Sedehi, Costas Papadimitriou, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 392, pp. 114646-114646
Open Access | Times Cited: 32

Geometric consistency enhanced deep convolutional encoder-decoder for urban seismic damage assessment by UAV images
Yu Wang, Xin Jing, Liangyi Cui, et al.
Engineering Structures (2023) Vol. 286, pp. 116132-116132
Closed Access | Times Cited: 18

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

EM-based fast uncertainty quantification for bayesian multi-setup operational modal analysis
Wei Zhu, Binbin Li, Zuo Zhu
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 440, pp. 117942-117942
Closed Access

Sparse Bayesian learning approach for propagation distance recognition and damage localization in plate-like structures using guided waves
Meijie Zhao, Wensong Zhou, Yong Huang, et al.
Structural Health Monitoring (2020) Vol. 20, Iss. 1, pp. 3-24
Closed Access | Times Cited: 43

Sparse Bayesian learning for structural damage identification
Zhao Chen, Ruiyang Zhang, Jingwei Zheng, et al.
Mechanical Systems and Signal Processing (2020) Vol. 140, pp. 106689-106689
Closed Access | Times Cited: 41

On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression
Rajdip Nayek, R. Fuentes, Keith Worden, et al.
Mechanical Systems and Signal Processing (2021) Vol. 161, pp. 107986-107986
Open Access | Times Cited: 35

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