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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:

Uncertainty quantification and propagation in dynamic models using ambient vibration measurements, application to a 10-story building
Iman Behmanesh, Seyedsina Yousefianmoghadam, Amin Nozari, et al.
Mechanical Systems and Signal Processing (2018) Vol. 107, pp. 502-514
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Adaptive Kalman filters for nonlinear finite element model updating
Mingming Song, Rodrigo Astroza, Hamed Ebrahimian, et al.
Mechanical Systems and Signal Processing (2020) Vol. 143, pp. 106837-106837
Closed Access | Times Cited: 105
Probabilistic evaluation of seismic responses using deep learning method
Taeyong Kim, Junho Song, Oh‐Sung Kwon
Structural Safety (2020) Vol. 84, pp. 101913-101913
Open Access | Times Cited: 78
Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling
Hassan Sarmadi, Ka‐Veng Yuen
Mechanical Systems and Signal Processing (2022) Vol. 173, pp. 109049-109049
Closed Access | Times Cited: 66
Hierarchical Bayesian modeling framework for model updating and robust predictions in structural dynamics using modal features
Xinyu Jia, Omid Sedehi, Costas Papadimitriou, et al.
Mechanical Systems and Signal Processing (2022) Vol. 170, pp. 108784-108784
Open Access | Times Cited: 41
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
An iterative dimension-by-dimension method for structural interval response prediction with multidimensional uncertain variables
Chuang Xiong, Lei Wang, Guanhua Liu, et al.
Aerospace Science and Technology (2019) Vol. 86, pp. 572-581
Closed Access | Times Cited: 63
Transfer-learning guided Bayesian model updating for damage identification considering modeling uncertainty
Zhiming Zhang, Chao Sun, Beibei Guo
Mechanical Systems and Signal Processing (2021) Vol. 166, pp. 108426-108426
Closed Access | Times Cited: 49
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
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
Bayesian updating of tall timber building model using modal data
Blaž Kurent, Noémi Friedman, Wai Kei Ao, et al.
Engineering Structures (2022) Vol. 266, pp. 114570-114570
Open Access | Times Cited: 25
Accounting for Modeling Errors and Inherent Structural Variability through a Hierarchical Bayesian Model Updating Approach: An Overview
Mingming Song, Iman Behmanesh, Babak Moaveni, et al.
Sensors (2020) Vol. 20, Iss. 14, pp. 3874-3874
Open Access | Times Cited: 33
Uncertainty quantification and propagation of crowd behaviour effects on pedestrian-induced vibrations of footbridges
Xinxin Wei, Jin-Cheng Liu, Sifeng Bi
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108557-108557
Open Access | Times Cited: 27
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
Bayesian Model-Updating Using Features of Modal Data: Application to the Metsovo Bridge
Costas Argyris, Costas Papadimitriou, Panagiotis Panetsos, et al.
Journal of Sensor and Actuator Networks (2020) Vol. 9, Iss. 2, pp. 27-27
Open Access | Times Cited: 30
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
Bayesian model updating of a twin-tower masonry structure through subset simulation optimization using ambient vibration data
Pei Liu, Shuqiang Huang, Mingming Song, et al.
Journal of Civil Structural Health Monitoring (2020) Vol. 11, Iss. 1, pp. 129-148
Closed Access | Times Cited: 18
Seismic Retrofit Assessment of a School Building through Operational Modal Analysis and f.e. Modeling
Fabrizio Gara, Sandro Carbonari, Davide Roia, et al.
Journal of Structural Engineering (2020) Vol. 147, Iss. 1
Closed Access | Times Cited: 16
Stress Resultant–Based Approach to Mass Assumption–Free Bayesian Model Updating of Frame Structures
Taro Yaoyama, Tatsuya Itoi, Jun IYAMA
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 1
Damage identification of a reinforced concrete frame at increasing damage levels by sensitivity-based finite element model updating
Erkan Durmazgezer, Umut Yucel, Özgür Özçelik
Bulletin of Earthquake Engineering (2019) Vol. 17, Iss. 11, pp. 6041-6060
Closed Access | Times Cited: 11
Sparse Bayesian learning for damage identification using nonlinear models: Application to weld fractures of steel‐frame buildings
Filippos Filippitzis, M. D. Kohler, Thomas H. Heaton, et al.
Structural Control and Health Monitoring (2021) Vol. 29, Iss. 2
Open Access | Times Cited: 8
A fast collapsed Gibbs sampler for frequency domain operational modal analysis
Quentin Dollon, Jérôme Antoni, Antoine Tahan, et al.
Mechanical Systems and Signal Processing (2022) Vol. 173, pp. 108985-108985
Closed Access | Times Cited: 4
The influence of model and measurement uncertainties on damage detection of experimental structures through recursive algorithms
Mehrdad Ebrahimi, Elnaz Nobahar, Reza Karami Mohammadi, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109531-109531
Open Access | Times Cited: 2
A Multi-State Strategy for Structural Damage Detection Using Sensitivity of Weighted Transmissibility Function
Ziwei Luo, Huanlin Liu, Ling Yu
International Journal of Structural Stability and Dynamics (2021) Vol. 21, Iss. 10, pp. 2150144-2150144
Closed Access | Times Cited: 5
Data-Driven and Model-Based Methods with Physics-Guided Machine Learning for Damage Identification
Zhiming Zhang
(2020)
Open Access | Times Cited: 4
Data features-based Bayesian learning for time-domain model updating and robust predictions in structural dynamics
Xinyu Jia, Costas Papadimitriou
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112197-112197
Closed Access
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