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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:

An offline approach for output-only Bayesian identification of stochastic nonlinear systems using unscented Kalman filtering
Kalil Erazo, Satish Nagarajaiah
Journal of Sound and Vibration (2017) Vol. 397, pp. 222-240
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

A novel unscented Kalman filter for recursive state-input-system identification of nonlinear systems
Ying Lei, Dandan Xia, Kalil Erazo, et al.
Mechanical Systems and Signal Processing (2019) Vol. 127, pp. 120-135
Closed Access | Times Cited: 134
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
Input-state-parameter estimation of structural systems from limited output information
Vasilis Dertimanis, Eleni Chatzi, Saeed Eftekhar Azam, et al.
Mechanical Systems and Signal Processing (2019) Vol. 126, pp. 711-746
Closed Access | Times Cited: 89
Bayesian parameter estimation for dynamical models in systems biology
Nathaniel J. Linden, Boris Krämer, Padmini Rangamani
PLoS Computational Biology (2022) Vol. 18, Iss. 10, pp. e1010651-e1010651
Open Access | Times Cited: 51
An adaptive generalized extended Kalman filter for real-time identification of structural systems, state and input based on sparse measurement
Jinshan Huang, Ying Lei, Xianzhi Li
Nonlinear Dynamics (2024) Vol. 112, Iss. 7, pp. 5453-5476
Closed Access | Times Cited: 5
Bayesian structural identification of a hysteretic negative stiffness earthquake protection system using unscented Kalman filtering
Kalil Erazo, Satish Nagarajaiah
Structural Control and Health Monitoring (2018) Vol. 25, Iss. 9, pp. e2203-e2203
Open Access | Times Cited: 46
Bayesian seismic strong-motion response and damage estimation with application to a full-scale seven story shear wall structure
Kalil Erazo, Babak Moaveni, Satish Nagarajaiah
Engineering Structures (2019) Vol. 186, pp. 146-160
Closed Access | Times Cited: 43
A dynamic force reconstruction method based on modified Kalman filter using acceleration responses under multi-source uncertain samples
Yaru Liu, Lei Wang, Zhiping Qiu, et al.
Mechanical Systems and Signal Processing (2021) Vol. 159, pp. 107761-107761
Closed Access | Times Cited: 35
Nonlinear seismic response reconstruction and performance assessment of instrumented wood‐frame buildings—Validation using NEESWood Capstone full‐scale tests
Milad Roohi, Eric M. Hernandez, David V. Rosowsky
Structural Control and Health Monitoring (2019) Vol. 26, Iss. 9
Open Access | Times Cited: 35
Auto-regressive model based input and parameter estimation for nonlinear finite element models
Juan Castiglione, Rodrigo Astroza, Saeed Eftekhar Azam, et al.
Mechanical Systems and Signal Processing (2020) Vol. 143, pp. 106779-106779
Closed Access | Times Cited: 34
Hybrid output-only structural system identification using random decrement and Kalman filter
Esmaeil Ghorbani, Oral Büyüköztürk, Young‐Jin Cha
Mechanical Systems and Signal Processing (2020) Vol. 144, pp. 106977-106977
Closed Access | Times Cited: 32
A novel time-domain approach for identifying nonlinear structural dynamical system with explicit model based on observer/Kalman filter identification method
Xiang Liu, Guoping Cai
Journal of Sound and Vibration (2024) Vol. 578, pp. 118363-118363
Closed Access | Times Cited: 3
Identification of joint structural state and earthquake input based on a generalized Kalman filter with unknown input
Jinshan Huang, Xianzhi Li, Fubo Zhang, et al.
Mechanical Systems and Signal Processing (2020) Vol. 151, pp. 107362-107362
Closed Access | Times Cited: 27
A hierarchical output-only Bayesian approach for online vibration-based crack detection using parametric reduced-order models
Konstantinos Tatsis, Konstantinos Agathos, Eleni Chatzi, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108558-108558
Open Access | Times Cited: 25
Kalman filter–random forest‐based method of dynamic load identification for structures with interval uncertainties
Yaru Liu, Lei Wang, Min Li
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 5
Open Access | Times Cited: 18
Bayesian system ID: optimal management of parameter, model, and measurement uncertainty
Nicholas Galioto, Alex Gorodetsky
Nonlinear Dynamics (2020) Vol. 102, Iss. 1, pp. 241-267
Open Access | Times Cited: 24
Markov Chain Monte Carlo-based Bayesian method for nonlinear stochastic model updating
Ya‐Jie Ding, Zuo‐Cai Wang, Genda Chen, et al.
Journal of Sound and Vibration (2021) Vol. 520, pp. 116595-116595
Closed Access | Times Cited: 22
Input-state-parameter-noise identification and virtual sensing in dynamical systems: A Bayesian expectation-maximization (BEM) perspective
Daniz Teymouri, Omid Sedehi, Lambros S. Katafygiotis, et al.
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109758-109758
Open Access | Times Cited: 15
A Bayesian Expectation-Maximization (BEM) methodology for joint input-state estimation and virtual sensing of structures
Daniz Teymouri, Omid Sedehi, Lambros S. Katafygiotis, et al.
Mechanical Systems and Signal Processing (2021) Vol. 169, pp. 108602-108602
Closed Access | Times Cited: 19
Time‐varying reliability analysis based on hybrid Kalman filtering and probability density evolution
Esmaeil Ghorbani, Sajad Saraygord Afshari, Dagmar Svecova, et al.
Earthquake Engineering & Structural Dynamics (2023) Vol. 53, Iss. 3, pp. 1326-1344
Open Access | Times Cited: 7
Data fusion based on short-term memory Kalman filtering using intermittent-displacement and acceleration signal with a time-varying bias
Ashish Pal, Satish Nagarajaiah
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111482-111482
Closed Access | Times Cited: 2
Stochastic finite element model updating through Bayesian approach with unscented transform
Dan Li, Jian Zhang
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 8
Closed Access | Times Cited: 11
Implicit inverse force identification method for vibroacoustic finite element model
Seungin Oh, Chang-uk Ahn, Kwanghyun Ahn, et al.
Journal of Sound and Vibration (2023) Vol. 556, pp. 117713-117713
Closed Access | Times Cited: 6
Synchronous identification of nonlinear structural parameters and unknown external excitation based on improved UKF
Zi-Qing Yuan, Zuo‐Cai Wang, Yu Xin, et al.
Engineering Structures (2023) Vol. 298, pp. 117094-117094
Closed Access | Times Cited: 6
An unscented Kalman filter under unknown input without direct feedthrough for joint input and system identification of structural systems
Shiyu Wang, Ying Lei
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 110951-110951
Closed Access | Times Cited: 6
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