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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:

Bayesian‐optimized unsupervised learning approach for structural damage detection
Kareem Eltouny, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 36, Iss. 10, pp. 1249-1269
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

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
Unsupervised Learning Methods for Data-Driven Vibration-Based Structural Health Monitoring: A Review
Kareem Eltouny, Mohamed Gomaa, Xiao Liang
Sensors (2023) Vol. 23, Iss. 6, pp. 3290-3290
Open Access | Times Cited: 61
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
Multicategory damage detection and safety assessment of post‐earthquake reinforced concrete structures using deep learning
Dujian Zou, Ming Zhang, Zhilin Bai, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 9, pp. 1188-1204
Closed Access | Times Cited: 60
Large‐scale structural health monitoring using composite recurrent neural networks and grid environments
Kareem Eltouny, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 3, pp. 271-287
Closed Access | Times Cited: 57
Toward a general unsupervised novelty detection framework in structural health monitoring
Mohammad Hesam Soleimani‐Babakamali, Reza Sepasdar, Kourosh Nasrollahzadeh, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 9, pp. 1128-1145
Closed Access | Times Cited: 45
Classification and regression-based convolutional neural network and long short-term memory configuration for bridge damage identification using long-term monitoring vibration data
Fadel Yessoufou, Jinsong Zhu
Structural Health Monitoring (2023) Vol. 22, Iss. 6, pp. 4027-4054
Closed Access | Times Cited: 24
Ultrasonic Lamb Wave Damage Detection of CFRP Composites Using the Bayesian Neural Network
Kai Luo, Jiayin Zhu, Zhenliang Li, et al.
Journal of Nondestructive Evaluation (2024) Vol. 43, Iss. 2
Closed Access | Times Cited: 8
Deep generative Bayesian optimization for sensor placement in structural health monitoring
Seyed Omid Sajedi, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 9, pp. 1109-1127
Closed Access | Times Cited: 48
Active learning structural model updating of a multisensory system based on Kriging method and Bayesian inference
Ye Yuan, F.T.K. Au, Dong Yang, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 3, pp. 353-371
Closed Access | Times Cited: 33
A deep ensemble learning-driven method for the intelligent construction of structural hysteresis models
Yi Gu, Xinzheng Lu, Yongjia Xu
Computers & Structures (2023) Vol. 286, pp. 107106-107106
Open Access | Times Cited: 21
An automated vibration-based structural damage localization strategy using filter-type feature selection
Victor Alves, Alexandre Cury
Mechanical Systems and Signal Processing (2023) Vol. 190, pp. 110145-110145
Closed Access | Times Cited: 20
Explainable probabilistic deep learning framework for seismic assessment of structures using distribution‐free prediction intervals
Mohamed Noureldin, Tamer Abuhmed, Melike Saygi, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 12, pp. 1677-1698
Closed Access | Times Cited: 18
Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview
Shuai Fu, Nicolas P. Avdelidis
Sensors (2023) Vol. 23, Iss. 19, pp. 8124-8124
Open Access | Times Cited: 17
Crack pattern–based machine learning prediction of residual drift capacity in damaged masonry walls
Mauricio Pereira, Antonio Maria D’Altri, Stefano de Miranda, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 5
Hybrid structural analysis integrating physical model and continuous‐time state‐space neural network model
Hongwei Li, Shuo Hao, Yi‐Qing Ni, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 5
Structural Damage Identification Using Autoencoders: A Comparative Study
Marcos Spínola Neto, Rafaelle Piazzaroli Finotti, Flávio de Souza Barbosa, et al.
Buildings (2024) Vol. 14, Iss. 7, pp. 2014-2014
Open Access | Times Cited: 5
Unsupervised Vision‐Based Structural Anomaly Detection and Localization with Reverse Knowledge Distillation
Xiaoming Lei, Mengjin Sun, Rongxin Zhao, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 5
Enhanced bridge damage assessment via data-model coupling driven approach with vibration signals
Jinfeng Wang, Yutong Wang, Keyu Wan, et al.
Structure and Infrastructure Engineering (2025), pp. 1-20
Closed Access
Quantitative method for structural health evaluation under multiple performance metrics via multi-physics guided neural network
Chen Liu, Huiyong Guo, Jin Di, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110383-110383
Closed Access
Establishing Efficacy of Machine Learning Techniques for Vulnerability Information of Tubular Buildings
Muhammad Zain, Suraparb Keawsawasvong, Chanachai Thongchom, et al.
Engineered Science (2023)
Open Access | Times Cited: 13
A transfer learning approach for data-driven localization of damage areas in plate-like structures of CFRP materials
Zhuojun Xu, Hao Li, Jianbo Yu, et al.
Engineering Structures (2024) Vol. 314, pp. 118352-118352
Closed Access | Times Cited: 4
Damage localization method for building structures using convex hull area of scattered structural measurements
Hyo Seon Park, Jun Su Park, Woo Chan Jung, et al.
Structures (2025) Vol. 74, pp. 108442-108442
Closed Access
Damage localization using a deep learning-based response modeling method
Chengbin Chen, Liqun Tang, Qingkai Xiao, et al.
Computers & Structures (2025) Vol. 310, pp. 107697-107697
Closed Access
Bridge damage identification using a small amount of damage labeling data
Hongshuo Sun, Li Song, Zhiwu Yu
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
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