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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:

Damage detection in nonlinear civil structures using kernel principal component analysis
Khaoula Ghoulem, Tarek Kormi, Nizar Bel Hadj Ali
Advances in Structural Engineering (2020) Vol. 23, Iss. 11, pp. 2414-2430
Closed Access | Times Cited: 19

Showing 19 citing articles:

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Arman Malekloo, Ekin Özer, Mohammad AlHamaydeh, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 4, pp. 1906-1955
Open Access | Times Cited: 320
State-of-the-art review on advancements of data mining in structural health monitoring
Meisam Gordan, Saeed-Reza Sabbagh-Yazdi, Zubaidah Ismail, et al.
Measurement (2022) Vol. 193, pp. 110939-110939
Closed Access | Times Cited: 126
Structural damage detection based on variational mode decomposition and kernel PCA-based support vector machine
Hossein Babajanian Bisheh, Gholamreza Ghodrati Amiri
Engineering Structures (2023) Vol. 278, pp. 115565-115565
Closed Access | Times Cited: 43
Deep learning enhanced principal component analysis for structural health monitoring
Ana Fernández-Navamuel, Filipe Magalhães, Diego Zamora-Sánchez, et al.
Structural Health Monitoring (2022) Vol. 21, Iss. 4, pp. 1710-1722
Open Access | Times Cited: 35
Improved damage assessment of bridges using advanced signal processing techniques of CEEMDAN-EWT and Kernal PCA
Hayati Abdullah, Muhammad Usman Hanif, Muhammad Usman Hassan, et al.
Engineering Structures (2025) Vol. 329, pp. 119774-119774
Open Access
Recent advances in structural health diagnosis: a machine learning perspective
Yuequan Bao, Huabin Sun, Yang Xu, et al.
Advances in Bridge Engineering (2025) Vol. 6, Iss. 1
Open Access
Structural damage detection by integrating robust PCA and classical PCA for handling environmental variations and imperfect measurement data
Mingqiang Xu, Jun Li, Shuqing Wang, et al.
Advances in Structural Engineering (2022) Vol. 25, Iss. 8, pp. 1815-1828
Closed Access | Times Cited: 14
Development of Features for Early Detection of Defects and Assessment of Bridge Decks
Ahmed Silik, Xiaodong Wang, Chenyue Mei, et al.
Structural durability & health monitoring (2023) Vol. 17, Iss. 4, pp. 257-281
Open Access | Times Cited: 7
Integrated SHM Systems: Damage Detection Through Unsupervised Learning and Data Fusion
Enrique García‐Macías, Filippo Ubertini
Structural integrity (2021), pp. 247-268
Closed Access | Times Cited: 17
Sparse damage detection via the elastic net method using modal data
Rongrong Hou, Xiaoyou Wang, Yong Xia
Structural Health Monitoring (2021) Vol. 21, Iss. 3, pp. 1076-1092
Open Access | Times Cited: 16
RBD-Net: robust breakage detection algorithm for industrial leather
Rong Luo, Ruihu Chen, Fengting Jia, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 6, pp. 2783-2796
Closed Access | Times Cited: 8
Use of machine learning models for data representation
Kundan Meshram
Elsevier eBooks (2024), pp. 33-50
Closed Access | Times Cited: 1
Machine learning and cointegration for structural health monitoring of a model under environmental effects
Miguel Rodrigues, Vera Miguéis, Carlos Félix, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121739-121739
Open Access | Times Cited: 3
Optimising Hyperparameters of Artificial Neural Network Topology for SHM Damage Detection and Identification
Luísa Rosenstock Völtz, Matheus Janczkowski Fogaça, Eduardo Lenz Cardoso, et al.
Journal of Failure Analysis and Prevention (2024) Vol. 24, Iss. 2, pp. 955-975
Closed Access
Modal parameter extraction from improved principal component analysis and structural state identification
Xueyan Li, Enmei Liu, Lixin Wang, et al.
Advances in Structural Engineering (2024)
Closed Access
An Analytical Study of Suspension Bridge Collapse Based on the Characteristics of the Eigen Values
Adi Jufriansah, Yudhiakto Pramudya, Ahmad Lazwardi, et al.
Engineering Science Letter (2024) Vol. 3, Iss. 02, pp. 45-54
Closed Access
Data-driven structural dynamic characteristics investigation by combining RDT and IVMD method
Chunbao Xiong, Meng Wang, Wen Chen
Structures (2023) Vol. 55, pp. 2295-2306
Closed Access | Times Cited: 1
Research on the application of improved SVM model in dam displacement and deformation prediction
Cheng-hui WAN, Xie Jiancheng, Peng Xiong
IOP Conference Series Earth and Environmental Science (2020) Vol. 585, Iss. 1, pp. 012047-012047
Open Access
Machine Learning and Cointegration for Structural Health Monitoring of a Model Under Environmental Effects
Miguel R. D. Rodrigues, Vera Miguéis, Carlos Roberto Félix, et al.
SSRN Electronic Journal (2022)
Closed Access
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