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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:

Dealing with uncertainty in model updating for damage assessment: A review
Ellen Simoen, Guido De Roeck, Geert Lombaert
Mechanical Systems and Signal Processing (2014) Vol. 56-57, pp. 123-149
Closed Access | Times Cited: 438

Showing 1-25 of 438 citing articles:

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
Onur Avcı, Osama Abdeljaber, Serkan Kıranyaz, et al.
Mechanical Systems and Signal Processing (2020) Vol. 147, pp. 107077-107077
Open Access | Times Cited: 936
Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019
Rongrong Hou, Yong Xia
Journal of Sound and Vibration (2020) Vol. 491, pp. 115741-115741
Open Access | Times Cited: 466
Recent progress and future trends on damage identification methods for bridge structures
Yonghui An, Eleni Chatzi, Sung‐Han Sim, et al.
Structural Control and Health Monitoring (2019) Vol. 26, Iss. 10
Closed Access | Times Cited: 254
Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty
Matthias G.R. Faes, David Moens
Archives of Computational Methods in Engineering (2019) Vol. 27, Iss. 3, pp. 633-671
Open Access | Times Cited: 162
Review of finite element model updating methods for structural applications
Suzana Ereiz, Ivan Duvnjak, Javier Fernando Jiménez‐Alonso
Structures (2022) Vol. 41, pp. 684-723
Open Access | Times Cited: 161
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
A framework for quantifying the value of vibration-based structural health monitoring
Antonios Kamariotis, Eleni Chatzi, Dániel Straub
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109708-109708
Open Access | Times Cited: 78
A review on recent developments in vibration-based damage identification methods for laminated composite structures: 2010–2022
Pankaj Chaupal, Prakash Rajendran
Composite Structures (2023) Vol. 311, pp. 116809-116809
Closed Access | Times Cited: 53
Structure damage identification in dams using sparse polynomial chaos expansion combined with hybrid K-means clustering optimizer and genetic algorithm
Yifei Li, Hoang-Le Minh, Samir Khatir, et al.
Engineering Structures (2023) Vol. 283, pp. 115891-115891
Closed Access | Times Cited: 51
A hybrid model-data-driven framework for inverse load identification of interval structures based on physics-informed neural network and improved Kalman filter algorithm
Yaru Liu, Lei Wang, Bing Feng Ng
Applied Energy (2024) Vol. 359, pp. 122740-122740
Closed Access | Times Cited: 27
Towards vibration-based damage detection of civil engineering structures: overview, challenges, and future prospects
Ali Zar, Zahoor Hussain, Muhammad Akbar, et al.
International Journal of Mechanics and Materials in Design (2024) Vol. 20, Iss. 3, pp. 591-662
Open Access | Times Cited: 14
Damage location in mechanical structures by multi-objective pattern search
Christian Günther, Benedikt Hofmeister, Clemens Hübler, et al.
Optimization and Engineering (2025)
Open Access | Times Cited: 1
Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges
Matteo Vagnoli, Rasa Remenyte‐Prescott, John Andrews
Structural Health Monitoring (2017) Vol. 17, Iss. 4, pp. 971-1007
Open Access | Times Cited: 136
Accounting for environmental variability, modeling errors, and parameter estimation uncertainties in structural identification
Iman Behmanesh, Babak Moaveni
Journal of Sound and Vibration (2016) Vol. 374, pp. 92-110
Open Access | Times Cited: 111
Sampling methods for solving Bayesian model updating problems: A tutorial
Adolphus Lye, Alice Cicirello, Edoardo Patelli
Mechanical Systems and Signal Processing (2021) Vol. 159, pp. 107760-107760
Open Access | Times Cited: 101
Monitoring of transport infrastructure exposed to multiple hazards: a roadmap for building resilience
Dimitra V. Achillopoulou, Stergios Α. Mitoulis, Sotirios Argyroudis, et al.
The Science of The Total Environment (2020) Vol. 746, pp. 141001-141001
Open Access | Times Cited: 94
Value of information from vibration-based structural health monitoring extracted via Bayesian model updating
Antonios Kamariotis, Eleni Chatzi, Dániel Straub
Mechanical Systems and Signal Processing (2021) Vol. 166, pp. 108465-108465
Open Access | Times Cited: 90
Model updating of a historic concrete bridge by sensitivity- and global optimization-based Latin Hypercube Sampling
Rosalba Ferrari, Diego Froio, Egidio Rizzi, et al.
Engineering Structures (2018) Vol. 179, pp. 139-160
Open Access | Times Cited: 86
A dual adaptive filtering approach for nonlinear finite element model updating accounting for modeling uncertainty
Rodrigo Astroza, Andrés Alessandri, Joel P. Conte
Mechanical Systems and Signal Processing (2018) Vol. 115, pp. 782-800
Closed Access | Times Cited: 83
Dynamics‐based cross‐domain structural damage detection through deep transfer learning
Yizhou Lin, Zhenhua Nie, Hongwei Ma
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 1, pp. 24-54
Closed Access | Times Cited: 72
Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling
Pinghe Ni, Jun Li, Hong Hao, et al.
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 383, pp. 113915-113915
Closed Access | Times Cited: 69
Vibration-based Bayesian model updating of an actual steel truss bridge subjected to incremental damage
Xin Zhou, Chul‐Woo Kim, Feng‐Liang Zhang, et al.
Engineering Structures (2022) Vol. 260, pp. 114226-114226
Open Access | Times Cited: 53
Supervised Deep Learning with Finite Element simulations for damage identification in bridges
Ana Fernández-Navamuel, Diego Zamora-Sánchez, Ángel Javier Omella, et al.
Engineering Structures (2022) Vol. 257, pp. 114016-114016
Open Access | Times Cited: 52
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
A robust-based configuration design method of piezoelectric materials for mechanical load identification considering structural vibration suppression
Yaru Liu, Lei Wang
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 410, pp. 115998-115998
Closed Access | Times Cited: 34
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