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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:

On the effectiveness of dimensionality reduction for unsupervised structural health monitoring anomaly detection
Mohammad Hesam Soleimani‐Babakamali, Roksana Soleimani-Babakamali, Rodrigo Sarlo, et al.
Mechanical Systems and Signal Processing (2022) Vol. 187, pp. 109910-109910
Open Access | Times Cited: 20

Showing 20 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: 63
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
Evaluating fire resistance of timber columns using explainable machine learning models
Mohsen Zaker Esteghamati, Thomas Gernay, S. Banerji
Engineering Structures (2023) Vol. 296, pp. 116910-116910
Closed Access | Times Cited: 27
Zero-shot transfer learning for structural health monitoring using generative adversarial networks and spectral mapping
Mohammad Hesam Soleimani‐Babakamali, Roksana Soleimani-Babakamali, Kourosh Nasrollahzadeh, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110404-110404
Open Access | Times Cited: 23
A transfer learning approach for mitigating temperature effects on wind turbine blades damage diagnosis
Nima Rezazadeh, Fawaz Annaz, Waheb A. Jabbar, et al.
Structural Health Monitoring (2025)
Closed Access | Times Cited: 1
Development of multi-sensor data fusion and in-process expert system for monitoring precision in thin wall lens barrel turning
Ke-Er Tang, Yin-Chung Huang, Chun‐Wei Liu
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111195-111195
Closed Access | Times Cited: 6
Review of anomaly detection in large span bridges: available methods, recent advancements and future trends
Ziyuan Fan, Xiaoli Tang, Yang Chen, et al.
Advances in Bridge Engineering (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 4
Dimensionality Reduction in Structural Health Monitoring: A Case Study on Damaged Wind Turbine Blades
Nima Rezazadeh, Antonio Polverino, Donato Perfetto, et al.
Macromolecular Symposia (2024) Vol. 413, Iss. 3
Closed Access | Times Cited: 4
Few-shot classification for sensor anomalies with limited samples
Yuxuan Zhang, Xiaoyou Wang, Yong Xia
Journal of Infrastructure Intelligence and Resilience (2024) Vol. 3, Iss. 2, pp. 100087-100087
Open Access | Times Cited: 2
Development of an optimization model for a monitoring point in tunnel stress deduction using a machine learning algorithm
Xuyan Tan, Weizhong Chen, Luyu Wang, et al.
Deep Underground Science and Engineering (2024)
Open Access | Times Cited: 2
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
Sulaiman Aburakhia, Abdallah Shami, George K. Karagiannidis
(2024)
Open Access | Times Cited: 2
Transferring damage detection knowledge across rotating machines and framed structures: Harnessing domain adaptation and contrastive learning
Roksana Soleimani-Babakamali, Mohammad Hesam Soleimani‐Babakamali, Mohammad Ali Heravi, et al.
Mechanical Systems and Signal Processing (2024) Vol. 221, pp. 111743-111743
Open Access | Times Cited: 2
Catalyzing EEG signal analysis: unveiling the potential of machine learning-enabled smart K nearest neighbor outlier detection
A. Abid, Salim El Khediri, Adel Thaljaoui, et al.
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2
Unsupervised anomaly detection for manufacturing product images by significant feature space distance measurement
Haoyuan Shen, Baolei Wei, Yizhong Ma
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111328-111328
Closed Access
Management Analysis Method of Multivariate Time Series Anomaly Detection in Financial Risk Assessment
Yongshan Zhang, Zhiyun Jiang, Cong Peng, et al.
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-19
Open Access
Unsupervised structural damage identification based on covariance matrix and deep clustering
Xianwen Zhang, Zifa Wang, Dengke Zhao, et al.
The Structural Design of Tall and Special Buildings (2024) Vol. 33, Iss. 11
Closed Access
Advanced Covariance Methods for IoT-Based Remote Health Monitoring
Yongye Tian, Yang Lu
Mobile Networks and Applications (2024)
Closed Access
Transfer Learning Across Heterogeneous Structures Through Adversarial Training
Mohammad Hesam Soleimani‐Babakamali, Onur Avcı, Serkan Kıranyaz, et al.
Conference proceedings of the Society for Experimental Mechanics (2024), pp. 53-61
Closed Access
A Novel Approach for Exploring Data-Driven Nutritional Insights Using Clustering and Dimensionality Reduction Techniques
Neeraj Garg, Pulkit Dwivedi
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
Anomaly detection in bridge structural health monitoring via 1D-LBP and statistical feature fusion
Qiankun Zhu, Wenqi Li, Xianyu Wang, et al.
Structures (2024) Vol. 70, pp. 107734-107734
Closed Access
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