Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 structural systems utilizing artificial neural networks and proper orthogonal decomposition
Saeed Eftekhar Azam, Ahmed Rageh, Daniel G. Linzell
Structural Control and Health Monitoring (2018) Vol. 26, Iss. 2, pp. e2288-e2288
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Machine learning for structural engineering: A state-of-the-art review
Huu‐Tai Thai
Structures (2022) Vol. 38, pp. 448-491
Closed Access | Times Cited: 377
Fatigue modeling using neural networks: A comprehensive review
Jie Chen, Yongming Liu
Fatigue & Fracture of Engineering Materials & Structures (2022) Vol. 45, Iss. 4, pp. 945-979
Open Access | Times Cited: 149
The Current Development of Structural Health Monitoring for Bridges: A Review
Z.C. Deng, Minshui Huang, Neng Wan, et al.
Buildings (2023) Vol. 13, Iss. 6, pp. 1360-1360
Open Access | Times Cited: 94
Big Data Analytics and Structural Health Monitoring: A Statistical Pattern Recognition-Based Approach
Alireza Entezami, Hassan Sarmadi, Behshid Behkamal, et al.
Sensors (2020) Vol. 20, Iss. 8, pp. 2328-2328
Open Access | Times Cited: 111
Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection
Alireza Entezami, Hashem Shariatmadar, Stefano Mariani
Advances in Engineering Software (2020) Vol. 150, pp. 102923-102923
Closed Access | Times Cited: 72
Modelling and forecasting of SHM strain measurement for a large-scale suspension bridge during typhoon events using variational heteroscedastic Gaussian process
Qiang Wang, Cheng Zhang, Zhan-Guo Ma, et al.
Engineering Structures (2021) Vol. 251, pp. 113554-113554
Open Access | Times Cited: 63
Damage identification in steel frames using dual-criteria vibration-based damage detection method and artificial neural network
Hooman Nick, Asgar Ashrafpoor, Armin Aziminejad
Structures (2023) Vol. 51, pp. 1833-1851
Closed Access | Times Cited: 32
An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data
Tam T. Truong, D. Dinh-Cong, Jaehong Lee, et al.
Journal of Building Engineering (2020) Vol. 30, pp. 101244-101244
Closed Access | Times Cited: 66
Damage identification in steel girder bridges using modal strain energy-based damage index method and artificial neural network
Hooman Nick, Armin Aziminejad, Mir Hamid Hosseini, et al.
Engineering Failure Analysis (2020) Vol. 119, pp. 105010-105010
Closed Access | Times Cited: 62
A novel damage identification method based on short time Fourier transform and a new efficient index
Hamid Reza Ahmadi, Navideh Mahdavi, Mahmoud Bayat
Structures (2021) Vol. 33, pp. 3605-3614
Closed Access | Times Cited: 46
Data‐driven prediction and interpretation of fatigue damage in a road‐rail suspension bridge considering multiple loads
Zhen Sun, João Santos, Elsa Caetano
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 9
Closed Access | Times Cited: 30
Non-iterative reconstruction of time-domain sound pressure and rapid prediction of large-scale sound field based on IG-DRBEM and POD-RBF
Senlin Zhang, Bo Yu, Leilei Chen
Journal of Sound and Vibration (2023) Vol. 573, pp. 118226-118226
Closed Access | Times Cited: 19
From data to insight, enhancing structural health monitoring using physics-informed machine learning and advanced data collection methods
Syed Haider Mehdi Rizvi, Muntazir Abbas
Engineering Research Express (2023) Vol. 5, Iss. 3, pp. 032003-032003
Open Access | Times Cited: 17
Operational Modal Analysis on Bridges: A Comprehensive Review
Hamed Hasani, Francesco Freddi
Infrastructures (2023) Vol. 8, Iss. 12, pp. 172-172
Open Access | Times Cited: 16
Parameter Identification of Multispan Rigid Frames Using a Stiffness Separation Method
Feng Xiao, Yu Yan, Xiangwei Meng, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1884-1884
Open Access | Times Cited: 5
Fatigue crack identification in jacket-type offshore platforms using a parallel multi-scale convolutional neural network
Feng Shi, Lei Song, Zhuoyi Yang, et al.
Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment (2025)
Closed Access
Displacement Response Prediction of Eight-Bundle Transmission Tower-Line System Combining Proper Orthogonal Decomposition (POD) and ANNs
Wei Cheng Bao, Mengqi Cai, Bowen Tian, et al.
KSCE Journal of Civil Engineering (2025), pp. 100178-100178
Open Access
Machine learning-empowered intelligent vehicle–bridge systems: Current status and future prospects
Jin Zhu, Cheng Wei, Tingpeng Zhang, et al.
Structures (2025) Vol. 74, pp. 108598-108598
Closed Access
Predicting the compressive strength of unreinforced brick masonry using machine learning techniques validated on a case study of a museum through nondestructive testing
Mayank Mishra, Amanjeet Singh Bhatia, Damodar Maity
Journal of Civil Structural Health Monitoring (2020) Vol. 10, Iss. 3, pp. 389-403
Closed Access | Times Cited: 47
One-dimensional convolutional neural network for damage detection of jacket-type offshore platforms
Xingxian Bao, Tongxuan Fan, Chen Shi, et al.
Ocean Engineering (2020) Vol. 219, pp. 108293-108293
Open Access | Times Cited: 46
Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty
Ahmed Rageh, Saeed Eftekhar Azam, Daniel G. Linzell
International Journal of Fatigue (2019) Vol. 134, pp. 105458-105458
Closed Access | Times Cited: 44
Artificial intelligence in railway infrastructure: current research, challenges, and future opportunities
Wassamon Phusakulkajorn, Alfredo Núñez, Hongrui Wang, et al.
Intelligent Transportation Infrastructure (2023) Vol. 2
Open Access | Times Cited: 15
Neural network-based damage identification in composite laminated plates using frequency shifts
Guilherme Antônio Oliver, Antônio Carlos Ancelotti, Guilherme Ferreira Gomes
Neural Computing and Applications (2020) Vol. 33, Iss. 8, pp. 3183-3194
Closed Access | Times Cited: 37
Bridge condition monitoring using fixed moving principal component analysis
Zhenhua Nie, Enguo Guo, Jun Li, et al.
Structural Control and Health Monitoring (2020) Vol. 27, Iss. 6
Open Access | Times Cited: 36
Health Monitoring of Large-Scale Civil Structures: An Approach Based on Data Partitioning and Classical Multidimensional Scaling
Alireza Entezami, Hassan Sarmadi, Behshid Behkamal, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1646-1646
Open Access | Times Cited: 24
Page 1 - Next Page

Scroll to top