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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 damage clustering in complex aeronautical composite structures monitored by Lamb waves: An inductive approach
Amirhossein Rahbari, Marc Rébillat, Nazih Mechbal, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 97, pp. 104099-104099
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

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
Quantitative identification of damage in composite structures using sparse sensor arrays and multi-domain-feature fusion of guided waves
Lingquan Tang, Yehai Li, Qiao Bao, et al.
Measurement (2023) Vol. 208, pp. 112482-112482
Closed Access | Times Cited: 35
An ALBERT-based TextCNN-Hatt hybrid model enhanced with topic knowledge for sentiment analysis of sudden-onset disasters
Xinsheng Zhang, Yulong Ma
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106136-106136
Closed Access | Times Cited: 25
Performance prediction and Bayesian optimization of screw compressors using Gaussian Process Regression
Abhishek Kumar, Sumit Patil, Ahmed Kovačević, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108270-108270
Open Access | Times Cited: 12
Damage features for structural health monitoring based on ultrasonic Lamb waves: Evaluation criteria, survey of recent work and outlook
Houyu Lu, B. S. Subhash Chandran, Wen Wu, et al.
Measurement (2024) Vol. 232, pp. 114666-114666
Closed Access | Times Cited: 12
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
Nonlinear ultrasonic testing and data analytics for damage characterization: A review
Hongguang Yun, Rakiba Rayhana, Shashank Pant, et al.
Measurement (2021) Vol. 186, pp. 110155-110155
Closed Access | Times Cited: 52
Unsupervised machine and deep learning methods for structural damage detection: A comparative study
Zilong Wang, Young‐Jin Cha
Engineering Reports (2022)
Open Access | Times Cited: 30
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: 18
Damage localization in composite structures based on Lamb wave and modular artificial neural network
Yumeng Gao, Lingyu Sun, Ruijie Song, et al.
Sensors and Actuators A Physical (2024) Vol. 377, pp. 115644-115644
Closed Access | Times Cited: 7
Sign coherence factor-based search algorithm for defect localization with laser generated Lamb waves
Honglei Chen, Kailiang Xu, Zenghua Liu, et al.
Mechanical Systems and Signal Processing (2022) Vol. 173, pp. 109010-109010
Closed Access | Times Cited: 19
Unsupervised Damage Localization In Composite Plates Using Lamb Waves And Conditional Generative Adversarial Networks
Marc Parziale, Luca Lomazzi, Zahra Rastin, et al.
Procedia Structural Integrity (2024) Vol. 52, pp. 551-559
Open Access | Times Cited: 4
Convolutional autoencoders and CGANs for unsupervised structural damage localization
Rafael Junges, Zahra Rastin, Luca Lomazzi, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111645-111645
Closed Access | Times Cited: 4
A State-of-art on Damage Detection of Composite Structure Using Lamb Wave and Deep Learning Techniques
Olivier Munyaneza, Do-Gyeong Yuk, Jung Woo Sohn
International Journal of Precision Engineering and Manufacturing-Smart Technology (2025) Vol. 3, Iss. 1, pp. 65-82
Closed Access
Fatigue Damage Detection and Classification for Composite Structures Using Variational Autoencoder and Support Vector Regression
Hyeonho Hwang, Aditi Chattopadhyay
AIAA SCITECH 2022 Forum (2025)
Closed Access
Structural Damage Classification in a Jacket-Type Wind-Turbine Foundation Using Principal Component Analysis and Extreme Gradient Boosting
Jersson X. Leon‐Medina, Maribel Anaya, Núria Parés Marine, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2748-2748
Open Access | Times Cited: 21
A global interactive attention-based lightweight denoising network for locating internal defects of CFRP laminates
Bo Yang, Yang Zhang, Shilong Wang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105436-105436
Closed Access | Times Cited: 14
An ensemble learning approach to condition assessment of dissipative CLT connections based on piezoceramic sensor data
Lin Chen, Haibei Xiong, Xiuquan Li, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105514-105514
Closed Access | Times Cited: 9
Damage evolution monitoring and failure level evaluation of composite bolted joints by MXene/CNTs sensors
Lu Zhang, Binbin Zhang, Shaowei Lu, et al.
Polymer Composites (2023) Vol. 45, Iss. 3, pp. 2415-2426
Closed Access | Times Cited: 5
A coupled approach of spatial dielectric mapping and unsupervised machine learning for damage detection and severity segmentation in polymer matrix composites
Rishabh D. Guha, Katherine Berkowitz, Landon R. Grace
NDT & E International (2024) Vol. 145, pp. 103137-103137
Closed Access | Times Cited: 1
The Research on Deep Learning-Driven Dimensionality Reduction and Strain Prediction Techniques Based on Flight Parameter Data
Wenbo Huang, Rui Wang, Mengchuang Zhang, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3938-3938
Open Access | Times Cited: 1
Two-stage residual networks for damage identification and location of stiffened composite panel based on guided waves
Tong Tian, Lei Yang, Wentao Liu, et al.
NDT & E International (2024) Vol. 146, pp. 103162-103162
Closed Access | Times Cited: 1
In-situ monitoring of µm-sized electrochemically generated corrosion pits using Lamb waves managed by a sparse array of piezoelectric transducers
Cyril Nicard, Marc Rébillat, O. Devos, et al.
Ultrasonics (2024) Vol. 147, pp. 107527-107527
Open Access | Times Cited: 1
Interlaminar damage assessment method of CFRP laminate based on Synchrosqueezed Wavelet Transform and ensemble Principal Component Analysis
Shizeng Lu, Huijun Dong, Hongliang Yu
Composite Structures (2021) Vol. 276, pp. 114581-114581
Closed Access | Times Cited: 7
Study on Ultrasonic Detection Pattern Recognition of Natural Gas Steel Pipeline Defects
HaiBo Liang, Yi Wang, Hai Yang
Russian Journal of Nondestructive Testing (2022) Vol. 58, Iss. 10, pp. 903-916
Closed Access | Times Cited: 3
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