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:

On continuous health monitoring of bridges under serious environmental variability by an innovative multi-task unsupervised learning method
Alireza Entezami, Hassan Sarmadi, Bahareh Behkamal, et al.
Structure and Infrastructure Engineering (2023) Vol. 20, Iss. 12, pp. 1975-1993
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns
Alireza Entezami, Hassan Sarmadi, Bahareh Behkamal
Mechanical Systems and Signal Processing (2023) Vol. 201, pp. 110676-110676
Open Access | Times Cited: 57
Short-term damage alarming with limited vibration data in bridge structures: A fully non-parametric machine learning technique
Alireza Entezami, Hassan Sarmadi, Bahareh Behkamal
Measurement (2024) Vol. 235, pp. 114935-114935
Open Access | Times Cited: 22
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching
Hassan Sarmadi, Alireza Entezami, Filipe Magalhães
Structural Health Monitoring (2023) Vol. 22, Iss. 6, pp. 4005-4026
Closed Access | Times Cited: 28
Investigation of Temperature Effects into Long-Span Bridges via Hybrid Sensing and Supervised Regression Models
Bahareh Behkamal, Alireza Entezami, Carlo De Michele, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3503-3503
Open Access | Times Cited: 24
Removal of freezing effects from modal frequencies of civil structures for structural health monitoring
Alireza Entezami, Hassan Sarmadi, Bahareh Behkamal
Engineering Structures (2024) Vol. 319, pp. 118722-118722
Open Access | Times Cited: 8
A novel hybrid model for bridge dynamic early warning using LSTM-EM-GMM
Shuangjiang Li, Jingzhou Xin, Yan Jiang, et al.
Advances in Bridge Engineering (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 7
Elimination of Thermal Effects from Limited Structural Displacements Based on Remote Sensing by Machine Learning Techniques
Bahareh Behkamal, Alireza Entezami, Carlo De Michele, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3095-3095
Open Access | Times Cited: 17
Early warning of structural damage via manifold learning-aided data clustering and non-parametric probabilistic anomaly detection
Alireza Entezami, Hassan Sarmadi, Bahareh Behkamal, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111984-111984
Open Access | Times Cited: 6
Prediction of long-term dynamic responses of a heritage masonry building under thermal effects by automated kernel-based regression modeling
Hassan Sarmadi, Bahareh Behkamal, Alireza Entezami
Elsevier eBooks (2024), pp. 257-283
Closed Access | Times Cited: 5
Damage Detection for a Cantilevered Steel I-Beam through Deep-Learning Methods: LSTM, Multivariate Time-Series Transformer, and LSTM-Based Autoencoder
Ehsan Sadeghian, Elena Dragomirescu, Diana Inkpen
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 2
Closed Access
Short-Term Health Monitoring and Damage Assessment of a Concrete Cable-Stayed Bridge by an Integrated Unsupervised Learning Approach
Hassan Sarmadi, Alireza Entezami
Springer tracts in civil engineering (2025), pp. 177-198
Closed Access
A complex system health state assessment method with reference value optimization for interpretable BRB
Qingxi Zhang, Kangle Li, Guangling Zhang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Two-stage anomaly detection for imbalanced bridge data by attention mechanism optimisation and small sample augmentation
Chunxu Qu, Yuntao Yang, Hongming Zhang, et al.
Engineering Structures (2025) Vol. 327, pp. 119613-119613
Closed Access
Review of Bridge Structure Damping Model and Identification Method
Chunxu Qu, Guangping Tu, Fulin Gao, et al.
Sustainability (2024) Vol. 16, Iss. 21, pp. 9410-9410
Open Access | Times Cited: 3
Data Anomaly Detection for Structural Health Monitoring Based on a Convolutional Neural Network
Soon-Young Kim, Mukhriddin Mukhiddinov
Sensors (2023) Vol. 23, Iss. 20, pp. 8525-8525
Open Access | Times Cited: 9
Unsupervised damage assessment under varying ambient temperature based on an adjusted artificial neural network and new multivariate covariance-based distances
Ali Nikdel, Hashem Shariatmadar
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3814-3831
Closed Access | Times Cited: 3
Quantifying Hybrid Failure Modes of Unreinforced Masonry Walls through Experimental Data Analysis
Amir Hossein Asjodi, Sepehr Saeidi, Kiarash M. Dolatshahi, et al.
Journal of Structural Engineering (2024) Vol. 150, Iss. 11
Closed Access | Times Cited: 3
A hybrid modeling strategy for training data generation in machine learning-based structural health monitoring
Tim Vrtač, Domen Ocepek, Martin Česnik, et al.
Mechanical Systems and Signal Processing (2023) Vol. 207, pp. 110937-110937
Open Access | Times Cited: 7
Predicting rockbursts in deep tunnels based on ejection velocity and kinetic energy measurements using advanced machine learning
Arsalan Mahmoodzadeh, Nejib Ghazouani, Adil Hussein Mohammed, et al.
Automation in Construction (2024) Vol. 166, pp. 105671-105671
Closed Access | Times Cited: 2
Automatic Modal Frequency Identification of Bridge Cables under Influence of Abnormal Monitoring Data
Hanwen Ju, Yang Deng, Yingjie Zhao, et al.
Journal of Performance of Constructed Facilities (2024) Vol. 38, Iss. 6
Closed Access | Times Cited: 2
Explained fire resistance machine learning models for compressed steel members of trusses and bracing systems
Luca Possidente, Carlos Couto
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109571-109571
Open Access | Times Cited: 2
Tunnel lining defects identification using TPE-CatBoost algorithm with GPR data: A model test study
Kang Li, Xiongyao Xie, Junli Zhai, et al.
Tunnelling and Underground Space Technology (2024) Vol. 157, pp. 106275-106275
Closed Access | Times Cited: 2
A stacking learning-based method for identifying the structural damage in structures
Ehsan Madani, Alireza Fiouz, Davood Abdollahzadeh, et al.
Structures (2024) Vol. 70, pp. 107864-107864
Closed Access | Times Cited: 1
Conclusions and Prospects for Structural Health Monitoring
Alireza Entezami, Bahareh Behkamal, Carlo De Michele
SpringerBriefs in applied sciences and technology (2024), pp. 105-110
Closed Access
Simulating Reality: Numerical Assessments of a Bridge Health Monitoring
Alireza Entezami, Bahareh Behkamal, Carlo De Michele
SpringerBriefs in applied sciences and technology (2024), pp. 69-79
Closed Access
Page 1 - Next Page

Scroll to top