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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:

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

Showing 26-50 of 126 citing articles:

Wind-induced fragility analysis of a transmission tower based on multi-source monitoring data and deep learning methods
Wensheng Zhang, Xing Fu, Hong‐Nan Li, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2024) Vol. 252, pp. 105834-105834
Closed Access | Times Cited: 4
Roping Prediction Versus Detection: Could Prediction Be Possible?
Lin Yang, Lei Chen, Difan Tang, et al.
Minerals (2025) Vol. 15, Iss. 2, pp. 110-110
Open Access
A Numerical and Experimental Investigation of the Most Fundamental Time-Domain Input–Output System Identification Methods for the Normal Modal Analysis of Flexible Structures
Şefika İpek Lök, Carmine Maria Pappalardo, Rosario La Regina, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1259-1259
Open Access
A Deep Learning-Based Structural Damage Identification Method Integrating CNN-BiLSTM-Attention for Multi-Order Frequency Data Analysis
Xin Pei, Yuan Hou, Haibin Huang, et al.
Buildings (2025) Vol. 15, Iss. 5, pp. 763-763
Open Access
Monitoring buildings performance using FEA and ML based on the data acquired by InSAR; A case study of Vittoriano building, Rome
Hamed Dabiri, Roberta Marini, Jessica Clementi, et al.
Structures (2025) Vol. 74, pp. 108643-108643
Closed Access
A review of prognostics and health management techniques in wind energy
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Reliability Engineering & System Safety (2025), pp. 111004-111004
Closed Access
A digital twin-driven machine learning framework for structural condition monitoring using multi-datasets
George Karyofyllas, Dimitrios Giagopoulos, Xinyu Jia, et al.
Structural Health Monitoring (2025)
Closed Access
Data-driven wind-induced response prediction for slender civil infrastructure: Progress, challenges and opportunities
Yiming Zhang, Haoqing Li, Hao Wang
Structures (2025) Vol. 74, pp. 108650-108650
Closed Access
Artificial Intelligence in Damage Detection of Concrete Structures: Techniques, Integration and Future Directions
Salim Barbhuiya, Bibhuti Bhusan Das
Springer tracts in civil engineering (2025), pp. 31-92
Closed Access
Efficient Modal Flexibility Signal Processing Methodology for Innovative Identification of Debonding Zones in Concrete-Filled Steel Tubes
Borhan Mirzaei, Mohtasham Khanahmadi, Omid Rezaifar, et al.
Results in Engineering (2025), pp. 104683-104683
Open Access
Towards efficient structural inverse analysis based on AI-driven differentiable optimization method
Chen Wang, Chong Zhang, Chen Yang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112618-112618
Closed Access
Model error effects in supervised damage identification of structures with numerically trained classifiers
Panagiotis Seventekidis, Dimitrios Giagopoulos
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109741-109741
Closed Access | Times Cited: 20
On the effectiveness of dimensionality reduction for unsupervised structural health monitoring anomaly detection
Mohammad Hesam Soleimani‐Babakamali, Roksana Soleimani-Babakamali, Rodrigo Sarlo, et al.
Mechanical Systems and Signal Processing (2022) Vol. 187, pp. 109910-109910
Open Access | Times Cited: 20
Bayesian-Based Hyperparameter Optimization of 1D-CNN for Structural Anomaly Detection
Xiaofei Li, Hainan Guo, Langxing Xu, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5058-5058
Open Access | Times Cited: 12
An Improved Inspection Process and Machine-Learning-Assisted Bridge Condition Prediction Model
Jingang Fang, Jun Hu, Hazem Elzarka, et al.
Buildings (2023) Vol. 13, Iss. 10, pp. 2459-2459
Open Access | Times Cited: 11
Comprehensive Review on Development of Smart Cities Using Industry 4.0 Technologies
Marieh Talebkhah, Aduwati Sali, Meisam Gordan, et al.
IEEE Access (2023) Vol. 11, pp. 91981-92030
Open Access | Times Cited: 10
Normalized energy index-based signal analysis through acceleration trendlines for structural damage detection
Hadi Kordestani, Chunwei Zhang, Sami F. Masri
Measurement (2023) Vol. 210, pp. 112530-112530
Closed Access | Times Cited: 9
Evolutionary Computation Modelling for Structural Health Monitoring of Critical Infrastructure
Charanjeet Singh Tumrate, Dinesh Kumar Saini, Punit Gupta, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 1479-1493
Closed Access | Times Cited: 15
A Novel Multi-Objective Hybrid Election Algorithm for Higher-Order Random Satisfiability in Discrete Hopfield Neural Network
Syed Anayet Karim, Mohd Shareduwan Mohd Kasihmuddin, Saratha Sathasivam, et al.
Mathematics (2022) Vol. 10, Iss. 12, pp. 1963-1963
Open Access | Times Cited: 14
Computer Vision and Image Processing in Structural Health Monitoring: Overview of Recent Applications
Claudia Ferraris, Gianluca Amprimo, Giuseppe Pettiti
Signals (2023) Vol. 4, Iss. 3, pp. 539-574
Open Access | Times Cited: 7
Neural operator for structural simulation and bridge health monitoring
Chawit Kaewnuratchadasorn, Jiaji Wang, Chul‐Woo Kim
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 6, pp. 872-890
Open Access | Times Cited: 7
Elementos básicos de Análisis Inteligente de Datos
Ivan F. Jaramillo, Ricardo Villarroel-Molina
(2023)
Open Access | Times Cited: 7
A new strategy for data-driven damage diagnosis of shear structures adapted to ambient vibration
Xuan Zhang, Luyu Li
Measurement (2024) Vol. 227, pp. 114257-114257
Closed Access | Times Cited: 2
Analysis of the evolution patterns for tunnel structures based on a data-driven method
Jianqing Wu, Ziyi Zhang, Yuan Tian, et al.
Structures (2024) Vol. 65, pp. 106646-106646
Closed Access | Times Cited: 2
Artificial neural network-based multiple-input multiple-output metamodel for prediction of design parameters for a high-speed rail viaduct
Susmita Panda, Arnab Banerjee, Ajinkya Baxy, et al.
Structure and Infrastructure Engineering (2023), pp. 1-19
Closed Access | Times Cited: 6

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