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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:

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

Showing 1-25 of 46 citing articles:

Ensemble learning‐based structural health monitoring by Mahalanobis distance metrics
Hassan Sarmadi, Alireza Entezami, Behzad Saeedi Razavi, et al.
Structural Control and Health Monitoring (2020) Vol. 28, Iss. 2
Open Access | Times Cited: 86
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
Hierarchical Bayesian model updating of a long-span arch bridge considering temperature and traffic loads
Lanxin Luo, Mingming Song, Huaqiang Zhong, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111152-111152
Closed Access | Times Cited: 11
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
Hierarchical Bayesian finite element model updating: Optimal weighting of modal residuals with application to FINO3 offshore platform
Daniz Teymouri, Omid Sedehi, Mingming Song, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111150-111150
Closed Access | Times Cited: 5
Ambient vibration-based cable tension monitoring and uncertainty analysis in cable-stayed bridge from a fully probabilistic perspective
Wen-Jie Jiang, Chul‐Woo Kim
Engineering Structures (2025) Vol. 328, pp. 119755-119755
Closed Access
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
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
Fast operational modal analysis of a single-tower cable-stayed bridge by a Bayesian method
Yan‐Chun Ni, Mehrisadat Makki Alamdari, Xiao‐Wei Ye, et al.
Measurement (2021) Vol. 174, pp. 109048-109048
Closed Access | Times Cited: 29
Bayesian Spectral Decomposition for Efficient Modal Identification Using Ambient Vibration
Zhouquan Feng, Jiren Zhang, Lambros S. Katafygiotis, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 3
Bayesian time domain approach for damping identification and uncertainty quantification in stay cables using free vibration response
Zhouquan Feng, Jiren Zhang, Xinyan Xuan, et al.
Engineering Structures (2024) Vol. 315, pp. 118477-118477
Closed Access | Times Cited: 3
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
EM-aided fast posterior covariance computation in Bayesian FFT method
Wei Zhu, Binbin Li
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111211-111211
Closed Access | Times Cited: 3
Two-stage Bayesian system identification using Gaussian discrepancy model
Feng‐Liang Zhang, Siu‐Kui Au, Yan-Chun Ni
Structural Health Monitoring (2020) Vol. 20, Iss. 2, pp. 580-595
Open Access | Times Cited: 22
Statistics-based Bayesian modeling framework for uncertainty quantification and propagation
Menghao Ping, Xinyu Jia, Costas Papadimitriou, et al.
Mechanical Systems and Signal Processing (2022) Vol. 174, pp. 109102-109102
Open Access | Times Cited: 13
Quantifying modeling uncertainty in simplified beam models for building response prediction
S. Farid Ghahari, Khachik Sargsyan, Mehmet Çelebi, et al.
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 11
Open Access | Times Cited: 11
Towards minimal empirical uncertainty bounds of damping estimates of an offshore wind turbine in idling conditions
Jonas Gad Kjeld, Luis David Avendaño-Valencia, Anders Brandt, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110180-110180
Closed Access | Times Cited: 6
Flexible Textile-Based Pressure Sensing System Applied in the Operating Room for Pressure Injury Monitoring of Cardiac Operation Patients
De-Fen Shih, Jyh-Liang Wang, Sou-Chih Chao, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4619-4619
Open Access | Times Cited: 16
Probabilistic investigation of error propagation in frequency domain decomposition‐based operational modal analysis
Çağlayan Hızal, Engin Aktaş
Structural Control and Health Monitoring (2021) Vol. 28, Iss. 8
Open Access | Times Cited: 14
Hierarchical Bayesian learning framework for multi-level modeling using multi-level data
Xinyu Jia, Costas Papadimitriou
Mechanical Systems and Signal Processing (2022) Vol. 179, pp. 109179-109179
Open Access | Times Cited: 10
Bayesian spectral density approach for identification of bridge section’s flutter derivatives operated in turbulent flow
Xiaolei Chu, Wei Cui, Peng Liu, et al.
Mechanical Systems and Signal Processing (2022) Vol. 170, pp. 108782-108782
Open Access | Times Cited: 9
Effect of wind and wave properties in modal parameter estimates of an idling offshore wind turbine from long-term monitoring data
Jonas Gad Kjeld, Luis David Avendaño-Valencia, Jonas Vestermark
Mechanical Systems and Signal Processing (2022) Vol. 187, pp. 109934-109934
Open Access | Times Cited: 9
Bayesian maximum entropy method for stochastic model updating using measurement data and statistical information
Chenxing Wang, Lechang Yang, Min Xie, et al.
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 110012-110012
Closed Access | Times Cited: 8
Maximum likelihood estimation of probabilistically described loads in beam structures
Andreas Tsiotas-Niachopetros, Nicholas Ε. Silionis, Konstantinos N. Anyfantis
Probabilistic Engineering Mechanics (2024) Vol. 76, pp. 103627-103627
Closed Access | Times Cited: 1
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