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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:

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

Showing 1-25 of 89 citing articles:

Artificial Neural Network (ANN) - Bayesian Probability Framework (BPF) based method of dynamic force reconstruction under multi-source uncertainties
Yaru Liu, Lei Wang, Kaixuan Gu, et al.
Knowledge-Based Systems (2021) Vol. 237, pp. 107796-107796
Closed Access | Times Cited: 116
An adaptive-noise Augmented Kalman Filter approach for input-state estimation in structural dynamics
Silvia Vettori, Emilio Di Lorenzo, Bart Peeters, et al.
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109654-109654
Open Access | Times Cited: 44
Assessment of alternative covariance functions for joint input-state estimation via Gaussian Process latent force models in structural dynamics
Silvia Vettori, Emilio Di Lorenzo, Bart Peeters, et al.
Mechanical Systems and Signal Processing (2024) Vol. 213, pp. 111303-111303
Open Access | Times Cited: 8
Sequential Bayesian estimation of state and input in dynamical systems using output-only measurements
Omid Sedehi, Costas Papadimitriou, Daniz Teymouri, et al.
Mechanical Systems and Signal Processing (2019) Vol. 131, pp. 659-688
Closed Access | Times Cited: 55
An unscented Kalman filter method for real time input-parameter-state estimation
Marios Impraimakis, Andrew W. Smyth
Mechanical Systems and Signal Processing (2021) Vol. 162, pp. 108026-108026
Open Access | Times Cited: 54
On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification
Timothy J. Rogers, Keith Worden, Elizabeth J. Cross
Mechanical Systems and Signal Processing (2020) Vol. 140, pp. 106580-106580
Open Access | Times Cited: 52
A recursive nonlinear virtual sensing method for joint input-state-parameter estimation of partially measured structures
Zihao Liu, Mohsen Ebrahimzadeh Hassanabadi, Sima Abolghasemi, et al.
Engineering Structures (2025) Vol. 330, pp. 119828-119828
Open Access
Extraction of contact-point response in indirect bridge health monitoring using an input estimation approach
Rajdip Nayek, Sriram Narasimhan
Journal of Civil Structural Health Monitoring (2020) Vol. 10, Iss. 5, pp. 815-831
Closed Access | Times Cited: 47
A linear Bayesian filter for input and state estimation of structural systems
Mohsen Ebrahimzadeh Hassanabadi, Zihao Liu, Saeed Eftekhar Azam, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 13, pp. 1749-1766
Open Access | Times Cited: 15
Simultaneous Identification of Time-Varying Parameters and External Loads Based on Extended Kalman Filter: Approach and Validation
Xiaoxiong Zhang, Jia He, Xugang Hua, et al.
Structural Control and Health Monitoring (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 14
Robust vision-based estimation of structural parameters using Kalman filtering
Lorenzo Mazzanti, Daniel De Gregoriis, Thijs Willems, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112480-112480
Closed Access
Towards digital twinning: Input-state-parameter estimation through extended MVU filter for systems without direct feedthrough using computer vision
Martin Masanes Didyk, Mohsen Ebrahimzadeh Hassanabadi, Roya Nasimi, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112557-112557
Closed Access
An Echo Chamber Detection Model for Social Networks Integrating Temporal State Estimation and Nonlinear Community Detection
尉旭 方
Modeling and Simulation (2025) Vol. 14, Iss. 03, pp. 652-666
Closed Access
A general substructure-based framework for input-state estimation using limited output measurements
Konstantinos Tatsis, Vasilis Dertimanis, Costas Papadimitriou, et al.
Mechanical Systems and Signal Processing (2020) Vol. 150, pp. 107223-107223
Open Access | Times Cited: 36
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
Physics-Informed Machine Learning for Structural Health Monitoring
Elizabeth J. Cross, Samuel J. Gibson, Matthew R. Jones, et al.
Structural integrity (2021), pp. 347-367
Open Access | Times Cited: 31
Estimation of time-varying noise parameters for unscented Kalman filter
Ka‐Veng Yuen, Yusong Liu, Wang‐Ji Yan
Mechanical Systems and Signal Processing (2022) Vol. 180, pp. 109439-109439
Closed Access | Times Cited: 21
Research on improved dynamic load identification method based on Kalman filter under noise interference
Hongzhi Tang, Jinhui Jiang, Fang Zhang
Structures (2024) Vol. 70, pp. 107515-107515
Closed Access | Times Cited: 3
Estimation of lateral track irregularity using a Kalman filter. Experimental validation
Sergio Muñoz, Javier Ros, Pedro Urda, et al.
Journal of Sound and Vibration (2021) Vol. 504, pp. 116122-116122
Closed Access | Times Cited: 26
Real-time simultaneous input-state-parameter estimation with modulated colored noise excitation
Ke Huang, Ka‐Veng Yuen, Lei Wang
Mechanical Systems and Signal Processing (2021) Vol. 165, pp. 108378-108378
Closed Access | Times Cited: 26
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
Identification by Recursive Least Squares With Kalman Filter (RLS-KF) Applied to a Robotic Manipulator
Darielson A. Souza, Josias G. Batista, Felipe J. S. Vasconcelos, et al.
IEEE Access (2021) Vol. 9, pp. 63779-63789
Open Access | Times Cited: 23
A Scaled Spherical Simplex Filter (S3F) with a decreased n + 2 sigma points set size and equivalent 2n + 1 Unscented Kalman Filter (UKF) accuracy
Konstantinos G. Papakonstantinou, M. Amir, Gordon P. Warn
Mechanical Systems and Signal Processing (2021) Vol. 163, pp. 107433-107433
Open Access | Times Cited: 23
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems
Shailesh Garg, Souvik Chakraborty, Budhaditya Hazra
Mechanical Systems and Signal Processing (2022) Vol. 173, pp. 109039-109039
Open Access | Times Cited: 18
Information theoretic-based optimal sensor placement for virtual sensing using augmented Kalman filtering
Tulay Ercan, Omid Sedehi, Lambros S. Katafygiotis, et al.
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 110031-110031
Closed Access | Times Cited: 18
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