| Application of improved least-square generative adversarial networks for rail crack detection by AE technique K Wang, X Zhang, Q Hao, Y Wang, Y Shen Neurocomputing 332, 236-248, 2019 | 55 | 2019 |
| Blind source extraction of acoustic emission signals for rail cracks based on ensemble empirical mode decomposition and constrained independent component analysis K Wang, Q Hao, X Zhang, Z Tang, Y Wang, Y Shen Measurement 157, 107653, 2020 | 50 | 2020 |
| A new rail crack detection method using LSTM network for actual application based on AE technology X Zhang, Z Zou, K Wang, Q Hao, Y Wang, Y Shen, H Hu Applied Acoustics 142, 78-86, 2018 | 45 | 2018 |
| A parameter optimized variational mode decomposition method for rail crack detection based on acoustic emission technique X Zhang, T Sun, Y Wang, K Wang, Y Shen Nondestructive Testing and Evaluation 36 (4), 411-439, 2021 | 42 | 2021 |
| Rail crack detection using acoustic emission technique by joint optimization noise clustering and time window feature detection X Zhang, K Wang, Y Wang, Y Shen, H Hu Applied Acoustics 160, 107141, 2020 | 29 | 2020 |
| An improved method of rail health monitoring based on CNN and multiple acoustic emission events X Zhang, K Wang, Y Wang, Y Shen, H Hu 2017 IEEE International Instrumentation and Measurement Technology …, 2017 | 26 | 2017 |
| A signal-adapted wavelet design method for acoustic emission signals of rail cracks Q Hao, X Zhang, K Wang, Y Shen, Y Wang Applied Acoustics 139, 251-258, 2018 | 22 | 2018 |
| An investigation on acoustic emission detection of rail crack in actual application by chaos theory with improved feature detection method X Zhang, Q Hao, K Wang, Y Wang, Y Shen, H Hu Journal of Sound and Vibration 436, 165-182, 2018 | 17 | 2018 |
| Defect detection in guided wave signals using nonlinear autoregressive exogenous method K Wang, J Zhang, Y Shen, B Karkera, AJ Croxford, PD Wilcox Structural Health Monitoring 21 (3), 1012-1030, 2022 | 13 | 2022 |
| Rail crack detection based on the adaptive noise cancellation method of EMD at high speed X Zhang, Y Wang, K Wang, Y Shen, H Hu 2017 IEEE International Instrumentation and Measurement Technology …, 2017 | 7 | 2017 |
| Rail steel health analysis based on a novel genetic density-based clustering technique and manifold representation of acoustic emission signals K Wang, X Zhang, S Song, Y Wang, Y Shen, PD Wilcox Applied Artificial Intelligence 36 (1), 2004346, 2022 | 5 | 2022 |
| Feasibility investigation of rail monitoring by wheel-mounted acoustic emission technology using two-dimensional analytical contact acoustic nonlinearity model K Wang, X Zhang, S Song, Y Wang, Y Shen Measurement Science and Technology 33 (1), 014006, 2021 | 5 | 2021 |
| An improved recovery method of rail crack signal based on least-square deconvolution algorithm with sectional regulatory factors K Wang, X Zhang, R Han, Y Wang, Y Shen 2018 IEEE International Instrumentation and Measurement Technology …, 2018 | 4 | 2018 |
| Modeling of wheel-rail coupling contact by submodeling technique for elastic wave propagation K Wang, X Zhang, Y Yue, Y Wang, Y Shen 2017 36th Chinese Control Conference (CCC), 5224-5229, 2017 | 1 | 2017 |
