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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 1-25 of 126 citing articles:

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
A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement
Sahar Hassani, Ulrike Dackermann
Sensors (2023) Vol. 23, Iss. 6, pp. 3293-3293
Open Access | Times Cited: 57
Review on smartphone sensing technology for structural health monitoring
Hassan Sarmadi, Alireza Entezami, Ka‐Veng Yuen, et al.
Measurement (2023) Vol. 223, pp. 113716-113716
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
A novel unsupervised deep learning approach for vibration-based damage diagnosis using a multi-head self-attention LSTM autoencoder
Shayan Ghazimoghadam, S.A.A. Hosseinzadeh
Measurement (2024) Vol. 229, pp. 114410-114410
Closed Access | Times Cited: 18
The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges
Raffaele Zinno, Sina Shaffiee Haghshenas, Giuseppe Guido, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 97-97
Open Access | Times Cited: 53
An IoT based authentication system for therapeutic herbs measured by local descriptors using machine learning approach
S. Roopashree, J. Anitha, T R Mahesh, et al.
Measurement (2022) Vol. 200, pp. 111484-111484
Closed Access | Times Cited: 47
A review of ultrasonic sensing and machine learning methods to monitor industrial processes
Alexander L. Bowler, Michael P. Pound, Nicholas J. Watson
Ultrasonics (2022) Vol. 124, pp. 106776-106776
Open Access | Times Cited: 44
HECON: Weight assessment of the product loyalty criteria considering the customer decision's halo effect using the convolutional neural networks
Gholamreza Haseli, Ramin Ranjbarzadeh, Mostafa Hajiaghaei–Keshteli, et al.
Information Sciences (2022) Vol. 623, pp. 184-205
Closed Access | Times Cited: 44
Developing a digital twin model for monitoring building structural health by combining a building information model and a real-scene 3D model
Jinghai Xu, Xin Shu, Peng Qiao, et al.
Measurement (2023) Vol. 217, pp. 112955-112955
Closed Access | Times Cited: 37
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: 32
Integrating PZT-enabled active sensing with deep learning techniques for automatic monitoring and assessment of early-age concrete strength
Xiaolong Liao, Qixiang Yan, Haojia Zhong, et al.
Measurement (2023) Vol. 211, pp. 112657-112657
Closed Access | Times Cited: 25
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
Detection and diagnosis of concrete void defect using percussion-based method combined with convolutional neural network
Qixiang Yan, Yifeng Zhang, Xiaolong Liao, et al.
Measurement (2024) Vol. 231, pp. 114585-114585
Closed Access | Times Cited: 7
Damage detection of in-service steel railway bridges using a fine k-nearest neighbor machine learning classifier
Alireza Ghiasi, Ching‐Tai Ng, Abdul Hamid Sheikh
Structures (2022) Vol. 45, pp. 1920-1935
Closed Access | Times Cited: 28
Graphene nanoparticles as data generating digital materials in industry 4.0
Muhammad A. Ali, Muhammad Syahrizal Irfan, Tayyab Khan, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 20
Automated multiclass structural damage detection and quantification using augmented reality
Omar Awadallah, Ayan Sadhu
Journal of Infrastructure Intelligence and Resilience (2023) Vol. 2, Iss. 1, pp. 100024-100024
Open Access | Times Cited: 18
Damage detection in power transmission towers using machine learning algorithms
Mehdi Kouchaki, Mojtaba Salkhordeh, ‪Mohammadreza Mashayekhi, et al.
Structures (2023) Vol. 56, pp. 104980-104980
Closed Access | Times Cited: 17
Nonmodel rapid seismic assessment of eccentrically braced frames incorporating masonry infills using machine learning techniques
Romina Chalabi, Omid Yazdanpanah, Kiarash M. Dolatshahi
Journal of Building Engineering (2023) Vol. 79, pp. 107784-107784
Closed 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
Protecting critical infrastructure against cascading effects: The PRECINCT approach
Meisam Gordan, Djibrilla Amadou Kountche, Daniel McCrum, et al.
Resilient Cities and Structures (2024) Vol. 3, Iss. 3, pp. 1-19
Open Access | Times Cited: 6
A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges
Binhe Chen, Li Cao, Changzu Chen, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 6
Challenges on prognostics and health management for wind turbine components
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Journal of Physics Conference Series (2024) Vol. 2745, Iss. 1, pp. 012003-012003
Open Access | Times Cited: 5
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
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