Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Research on CFRP Defects Recognition and Localization Based on Metamaterial Sensors

Zhaoxuan Zhu and Rui Han
Symmetry 16 (12) 1706 (2024)
https://doi.org/10.3390/sym16121706

Dynamic weighted phase shift migration for the ultrasonic phased array imaging of wrinkles in thick composites

Haiyan Zhang, Yajie Liu, Hui Zhang, Yiting Chen and Qi Zhu
Mechanical Systems and Signal Processing 212 111271 (2024)
https://doi.org/10.1016/j.ymssp.2024.111271

Advances in the Integration of Artificial Intelligence and Ultrasonic Techniques for Monitoring Concrete Structures: A Comprehensive Review

Giovanni Angiulli, Pietro Burrascano, Marco Ricci and Mario Versaci
Journal of Composites Science 8 (12) 531 (2024)
https://doi.org/10.3390/jcs8120531

A New Method for Wellhead Device Defect Identification with Ultrasonic Signals

Wei Minghui, Chen Hongjun, Deng Aihua, Tao Qiuyang and He Yilin
Russian Journal of Nondestructive Testing 59 (9) 964 (2023)
https://doi.org/10.1134/S1061830923600429

Application of Bispectrum Dimensionality Reduction Method in Ultrasonic Echo Signal Processing

Jian Tang, Wenxiu Yu, Guoxin Zhao, Xiangdong Jiao and Xuepeng Ding
Journal of Advanced Computational Intelligence and Intelligent Informatics 26 (6) 1053 (2022)
https://doi.org/10.20965/jaciii.2022.p1053

Defect Recognition in Concrete Ultrasonic Detection Based on Wavelet Packet Transform and Stochastic Configuration Networks

Jinhui Zhao, Tianyu Hu, Ruifang Zheng, et al.
IEEE Access 9 9284 (2021)
https://doi.org/10.1109/ACCESS.2021.3049448

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

Nawaf H. M. M. Shrifan, Muhammad Firdaus Akbar and Nor Ashidi Mat Isa
IEEE Access 7 110628 (2019)
https://doi.org/10.1109/ACCESS.2019.2934143