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:

Delamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations
Mahindra Rautela, J. Senthilnath, Ernesto Monaco, et al.
Composite Structures (2022) Vol. 291, pp. 115579-115579
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

A review on guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques
Zhengyan Yang, Hongjuan Yang, Tong Tian, et al.
Ultrasonics (2023) Vol. 133, pp. 107014-107014
Closed Access | Times Cited: 100
Intelligent Computational Methods for Damage Detection of Laminated Composite Structures for Mobility Applications: A Comprehensive Review
Muhammad Muzammil Azad, Yubin Cheon, Izaz Raouf, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 20
Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review
Muhammad Muzammil Azad, Sungjun Kim, Yu Bin Cheon, et al.
Advanced Composite Materials (2023) Vol. 33, Iss. 2, pp. 162-188
Closed Access | Times Cited: 35
Unsupervised learning framework for temperature compensated damage identification and localization in ultrasonic guided wave SHM with transfer learning
Shruti Sawant, Amit Sethi, Sauvik Banerjee, et al.
Ultrasonics (2023) Vol. 130, pp. 106931-106931
Closed Access | Times Cited: 32
Hybrid deep convolutional networks for the autonomous damage diagnosis of laminated composite structures
Muhammad Muzammil Azad, Heung Soo Kim
Composite Structures (2023) Vol. 329, pp. 117792-117792
Closed Access | Times Cited: 26
Barely visible impact damage detection in composite structures using deep learning networks with varying complexities
Ali Tabatabaeian, Bruno Jerkovic, Philip G. Harrison, et al.
Composites Part B Engineering (2023) Vol. 264, pp. 110907-110907
Open Access | Times Cited: 24
A Multimodal Gated Recurrent Unit Neural Network Model for Damage Assessment in CFRP Composites Based on Lamb Waves and Minimal Sensing
Long Zhuang, Kai Luo, Zhibo Yang
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 14
A novel machine learning model to design historical-independent health indicators for composite structures
Morteza Moradi, Ferda Cansu Gül, Dimitrios Zarouchas
Composites Part B Engineering (2024) Vol. 275, pp. 111328-111328
Open Access | Times Cited: 10
Aerospace Engineering
Gennaro Cardone, Francesco Marulo
Springer aerospace technology (2024), pp. 23-52
Closed Access | Times Cited: 9
Machine learning algorithms for delaminations detection on composites panels by wave propagation signals analysis: Review, experiences and results
Ernesto Monaco, Mahindra Rautela, S. Gopalakrishnan, et al.
Progress in Aerospace Sciences (2024) Vol. 146, pp. 100994-100994
Open Access | Times Cited: 8
An explainable artificial intelligence‐based approach for reliable damage detection in polymer composite structures using deep learning
Muhammad Muzammil Azad, Heung Soo Kim
Polymer Composites (2024)
Open Access | Times Cited: 6
Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device
Pankhi Kashyap, Kajal Shivgan, Sheetal Patil, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Designing semiconductor materials and devices in the post-Moore era by tackling computational challenges with data-driven strategies
Jiahao Xie, Yansong Zhou, Muhammad Faizan, et al.
Nature Computational Science (2024) Vol. 4, Iss. 5, pp. 322-333
Closed Access | Times Cited: 5
Baseline optimized autoencoder-based unsupervised anomaly detection in uncontrolled dynamic structural health monitoring
Kang Yang, Tianqi Liu, Zekun Yang, et al.
Structural Health Monitoring (2025)
Closed Access
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
Delamination Prediction in Layered Composites Using Optimized ANN Algorithms: A Comparative Analysis
Demet Balkan
Symmetry (2025) Vol. 17, Iss. 1, pp. 91-91
Open Access
Unified Framework for Probabilistic Modeling and Uncertainty Quantification of Aerospace Structures via Stochastic Latent Space Representations
Yi‐Ming Fan, Dimitris G. Giovanis, Fotis Kopsaftopoulos
AIAA SCITECH 2022 Forum (2025)
Closed Access
Active sensing-based prognostics for impacted CFRP structures under compressive fatigue loading
Ferda Cansu Gül, Morteza Moradi, Dimitrios Zarouchas
Structural Health Monitoring (2025)
Closed Access
Application of Acoustic Emission and Baseline‐Based Approach for Early Fatigue‐Damage Detection
Lu Cheng, Ze Chang, Roger M. Groves, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Optimal principal component and measurement interval selection for PCA reconstruction-based anomaly detection in uncontrolled structural health monitoring
Kang Yang, Kang Gao, Junkai Zhou, et al.
Ultrasonics (2025), pp. 107632-107632
Closed Access
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
A novel ultrasonic inspection method of the heat exchangers based on circumferential waves and deep neural networks
Azamatjon Kakhramon ugli Malikov, Younho Cho, Young H. Kim, et al.
Science Progress (2023) Vol. 106, Iss. 1
Open Access | Times Cited: 10
Anti-interference damage localization in composite overwrapped pressure vessels using machine learning and ultrasonic guided waves
Chaojie Hu, Bin Yang, Lulu Yang, et al.
NDT & E International (2023) Vol. 140, pp. 102961-102961
Closed Access | Times Cited: 9
Page 1 - Next Page

Scroll to top