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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:

Frequency response function-based model updating using Kriging model
J.T. Wang, C.J. Wang, Junpeng Zhao
Mechanical Systems and Signal Processing (2016) Vol. 87, pp. 218-228
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Vibration feature extraction using signal processing techniques for structural health monitoring: A review
Chunwei Zhang, Asma Alsadat Mousavi, Sami F. Masri, et al.
Mechanical Systems and Signal Processing (2022) Vol. 177, pp. 109175-109175
Closed Access | Times Cited: 213
Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogoemetric analysis
Samir Khatir, Magd Abdel Wahab, Djilali Boutchicha, et al.
Journal of Sound and Vibration (2019) Vol. 448, pp. 230-246
Closed Access | Times Cited: 180
Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation
Guangbin Wang, Jiawen Ke
Buildings (2024) Vol. 14, Iss. 2, pp. 402-402
Open Access | Times Cited: 15
On-line Bayesian model updating for structural health monitoring
Roberto Rocchetta, Matteo Broggi, Quentin Huchet, et al.
Mechanical Systems and Signal Processing (2017) Vol. 103, pp. 174-195
Closed Access | Times Cited: 109
Non-probabilistic method to consider uncertainties in frequency response function for vibration-based damage detection using Artificial Neural Network
Khairul Hazman Padil, Norhisham Bakhary, Muyideen Abdulkareem, et al.
Journal of Sound and Vibration (2019) Vol. 467, pp. 115069-115069
Closed Access | Times Cited: 103
Dynamic Model Updating for Bridge Structures Using the Kriging Model and PSO Algorithm Ensemble with Higher Vibration Modes
Shiqiang Qin, Yazhou Zhang, Yunlai Zhou, et al.
Sensors (2018) Vol. 18, Iss. 6, pp. 1879-1879
Open Access | Times Cited: 71
An enhanced substructure-based response sensitivity method for finite element model updating of large-scale structures
Hongping Zhu, Jiajing Li, Wei Tian, et al.
Mechanical Systems and Signal Processing (2021) Vol. 154, pp. 107359-107359
Closed Access | Times Cited: 52
Active learning structural model updating of a multisensory system based on Kriging method and Bayesian inference
Ye Yuan, F.T.K. Au, Dong Yang, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 3, pp. 353-371
Closed Access | Times Cited: 33
A finite element model updating method based on the trust region and adaptive surrogate model
Yu Bai, Zhenrui Peng, Zenghui Wang
Journal of Sound and Vibration (2023) Vol. 555, pp. 117701-117701
Closed Access | Times Cited: 17
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
Rapid seismic damage assessment of building portfolio based on fusion of surrogate model and monitoring data
Zhang Guo-qing, Kun Liu, Weiping Wen, et al.
International Journal of Disaster Risk Reduction (2025), pp. 105293-105293
Closed Access
A reliability analysis method based on analytical expressions of the first four moments of the surrogate model of the performance function
Yan Shi, Zhenzhou Lü, Siyu Chen, et al.
Mechanical Systems and Signal Processing (2018) Vol. 111, pp. 47-67
Closed Access | Times Cited: 50
Structural model updating using adaptive multi-response Gaussian process meta-modeling
Kai Zhou, Jiong Tang
Mechanical Systems and Signal Processing (2020) Vol. 147, pp. 107121-107121
Open Access | Times Cited: 44
An effective single loop Kriging surrogate method combing sequential stratified sampling for structural time-dependent reliability analysis
Zongrui Tian, Pengpeng Zhi, Yi Guan, et al.
Structures (2023) Vol. 53, pp. 1215-1224
Closed Access | Times Cited: 15
Metamodel-assisted hybrid optimization strategy for model updating using vibration response data
Yifei Li, Maosen Cao, Tran N. Hoa, et al.
Advances in Engineering Software (2023) Vol. 185, pp. 103515-103515
Open Access | Times Cited: 15
Bayesian Model Updating in an Active Kriging-based Metamodeling Framework
Partha Pratim Sengupta, Subrata Chakraborty
Applied Mathematical Modelling (2025), pp. 115981-115981
Closed Access
Scaling operational modes by modal interpretation of static displacements
Jiawei Jian, Zhong-Rong Lu, Li Wang, et al.
Journal of Sound and Vibration (2025), pp. 119035-119035
Closed Access
Towards efficient structural inverse analysis based on AI-driven differentiable optimization method
Chen Wang, Chong Zhang, Chen Yang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112618-112618
Closed Access
Link relation updating of finite element model
Jian Liu, Ling Dong, Jiaming Zhou, et al.
International Journal of Applied Electromagnetics and Mechanics (2025)
Closed Access
Parameter identification for stick–slip friction model and its application to dynamic analysis of mechanical system
Jiahao Ding, Hongyu Wu, Yuling Zhang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112626-112626
Closed Access
Fast and robust identification of railway track stiffness from simple field measurement
Chen Shen, Rolf Dollevoet, Zili Li
Mechanical Systems and Signal Processing (2020) Vol. 152, pp. 107431-107431
Open Access | Times Cited: 36
A single-loop Kriging surrogate model method by considering the first failure instant for time-dependent reliability analysis and safety lifetime analysis
Yingshi Hu, Zhenzhou Lü, Ning Wei, et al.
Mechanical Systems and Signal Processing (2020) Vol. 145, pp. 106963-106963
Closed Access | Times Cited: 35
A Kriging Model Based Finite Element Model Updating Method for Damage Detection
Xiuming Yang, Xinglin Guo, Huajiang Ouyang, et al.
Applied Sciences (2017) Vol. 7, Iss. 10, pp. 1039-1039
Open Access | Times Cited: 33
Prediction method of bridge static load test results based on Kriging model
Pengzhen Lu, Zijie Xu, Yangrui Chen, et al.
Engineering Structures (2020) Vol. 214, pp. 110641-110641
Closed Access | Times Cited: 31
Sensitivity analysis of input errors to motion deviations of underwater glider based on optimized response surface methodology
Hongyu Wu, Wendong Niu, Shuxin Wang, et al.
Ocean Engineering (2020) Vol. 209, pp. 107400-107400
Closed Access | Times Cited: 28
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