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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:

Unsupervised learning-based damage assessment of full-scale civil structures under long-term and short-term monitoring
Mohammad Hassan Daneshvar, Hassan Sarmadi
Engineering Structures (2022) Vol. 256, pp. 114059-114059
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Long-term health monitoring of concrete and steel bridges under large and missing data by unsupervised meta learning
Alireza Entezami, Hassan Sarmadi, Bahareh Behkamal
Engineering Structures (2023) Vol. 279, pp. 115616-115616
Open Access | Times Cited: 63
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
A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 50
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
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
Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling
Hassan Sarmadi, Ka‐Veng Yuen
Mechanical Systems and Signal Processing (2022) Vol. 173, pp. 109049-109049
Closed Access | Times Cited: 66
Review of artificial intelligence-based bridge damage detection
Yang Zhang, Ka‐Veng Yuen
Advances in Mechanical Engineering (2022) Vol. 14, Iss. 9
Closed Access | Times Cited: 65
Review of Machine-Learning Techniques Applied to Structural Health Monitoring Systems for Building and Bridge Structures
Alain Gomez-Cabrera, Ponciano Jorge Escamilla-Ambrosio
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10754-10754
Open Access | Times Cited: 55
Probabilistic data self-clustering based on semi-parametric extreme value theory for structural health monitoring
Hassan Sarmadi, Alireza Entezami, Carlo De Michele
Mechanical Systems and Signal Processing (2022) Vol. 187, pp. 109976-109976
Closed Access | Times Cited: 53
A locally unsupervised hybrid learning method for removing environmental effects under different measurement periods
Mohammad Hassan Daneshvar, Hassan Sarmadi, Ka‐Veng Yuen
Measurement (2023) Vol. 208, pp. 112465-112465
Closed Access | Times Cited: 31
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
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
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
An unsupervised anomaly detection framework for onboard monitoring of railway track geometrical defects using one-class support vector machine
Ramin Ghiasi, Muhammad Arslan Khan, Danilo Sorrentino, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108167-108167
Open Access | Times Cited: 12
Modifying the Tailored Clustering Enabled Regionalization (TCER) framework for outlier site detection and inference efficiency
Yongmin Cai, Kok‐Kwang Phoon, Qiujing Pan, et al.
Engineering Geology (2024) Vol. 335, pp. 107537-107537
Closed Access | Times Cited: 11
An accurate and low-cost vehicle-induced deflection prediction framework for long-span bridges using deep learning and monitoring data
Hanwen Ju, Huaiyuan Shi, Weicheng Shen, et al.
Engineering Structures (2024) Vol. 310, pp. 118094-118094
Closed Access | Times Cited: 10
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
Partially online damage detection using long-term modal data under severe environmental effects by unsupervised feature selection and local metric learning
Hassan Sarmadi, Alireza Entezami, Bahareh Behkamal, et al.
Journal of Civil Structural Health Monitoring (2022) Vol. 12, Iss. 5, pp. 1043-1066
Closed Access | Times Cited: 32
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
Condition-based structural health monitoring of offshore wind jacket structures: Opportunities, challenges, and perspectives
Jiaxuan Leng, Paolo Gardoni, Mengmeng Wang, et al.
Structural Health Monitoring (2023) Vol. 22, Iss. 5, pp. 3558-3575
Closed Access | Times Cited: 16
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
A kernelized deep regression method to simultaneously predict and normalize displacement responses of long-span bridges via limited synthetic aperture radar images
Alireza Entezami, Bahareh Behkamal, Carlo De Michele, et al.
Structural Health Monitoring (2025)
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
Long-term structural health monitoring for bridge based on back propagation neural network and long and short-term memory
Shengang Li, Wentao Wang, Bo Lu, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 4, pp. 2325-2345
Closed Access | Times Cited: 23
Online Hybrid Learning Methods for Real-Time Structural Health Monitoring Using Remote Sensing and Small Displacement Data
Alireza Entezami, Ali Nadir Arslan, Carlo De Michele, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3357-3357
Open Access | Times Cited: 22
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