| Understanding and learning discriminant features based on multiattention 1DCNN for wheelset bearing fault diagnosis H Wang, Z Liu, D Peng, Y Qin IEEE Transactions on Industrial Informatics 16 (9), 5735-5745, 2019 | 393 | 2019 |
| Deep learning in ECG diagnosis: A review X Liu, H Wang, Z Li, L Qin Knowledge-Based Systems 227, 107187, 2021 | 325 | 2021 |
| Multibranch and multiscale CNN for fault diagnosis of wheelset bearings under strong noise and variable load condition D Peng, H Wang, Z Liu, W Zhang, MJ Zuo, J Chen IEEE Transactions on Industrial Informatics 16 (7), 4949-4960, 2020 | 272 | 2020 |
| A novel deeper one-dimensional CNN with residual learning for fault diagnosis of wheelset bearings in high-speed trains D Peng, Z Liu, H Wang, Y Qin, L Jia Ieee Access 7, 10278-10293, 2018 | 261 | 2018 |
| Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoising H Wang, Z Liu, D Peng, Z Cheng ISA transactions 128, 470-484, 2022 | 165 | 2022 |
| Multitask learning based on lightweight 1DCNN for fault diagnosis of wheelset bearings Z Liu, H Wang, J Liu, Y Qin, D Peng IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 157 | 2020 |
| Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis C Li, S Li, H Wang, F Gu, AD Ball Knowledge-Based Systems 264, 110345, 2023 | 120 | 2023 |
| Feature-level attention-guided multitask CNN for fault diagnosis and working conditions identification of rolling bearing H Wang, Z Liu, D Peng, M Yang, Y Qin IEEE transactions on neural networks and learning systems 33 (9), 4757-4769, 2021 | 114 | 2021 |
| Interpretable convolutional neural network with multilayer wavelet for Noise-Robust Machinery fault diagnosis H Wang, Z Liu, D Peng, MJ Zuo Mechanical Systems and Signal Processing 195, 110314, 2023 | 105 | 2023 |
| Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data H Wang, Z Liu, Y Ge, D Peng Knowledge-Based Systems 239, 107978, 2022 | 76 | 2022 |
| Intelligent vibration signal denoising method based on non-local fully convolutional neural network for rolling bearings H Han, H Wang, Z Liu, J Wang ISA transactions 122, 13-23, 2022 | 64 | 2022 |
| ChatGPT-like large-scale foundation models for prognostics and health management: a survey and roadmaps YF Li, H Wang, M Sun Reliability Engineering & System Safety, 109850, 2023 | 51 | 2023 |
| An end-to-end atrial fibrillation detection by a novel residual-based temporal attention convolutional neural network with exponential nonlinearity loss Y Gao, H Wang, Z Liu Knowledge-Based Systems 212, 106589, 2021 | 48 | 2021 |
| An end-to-end 12-leading electrocardiogram diagnosis system based on deformable convolutional neural network with good antinoise ability L Qin, Y Xie, X Liu, X Yuan, H Wang IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 44 | 2021 |
| Transformer for high-speed train wheel wear prediction with multiplex local–global temporal fusion H Wang, T Men, YF Li IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 37 | 2022 |
| Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss W Lei, H Mei, Z Sun, S Ye, R Gu, H Wang, R Huang, S Zhang, S Zhang, ... Neurocomputing 442, 184-199, 2021 | 36 | 2021 |
| Automated segmentation of skin lesion based on pyramid attention network H Wang, G Wang, Z Sheng, S Zhang Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 35 | 2019 |
| Convolutional Transformer-Based Multi-View Information Perception Framework for Lithium-ion Battery State-of-Health Estimation T Bai, H Wang IEEE Transactions on Instrumentation and Measurement, 2023 | 32 | 2023 |
| Long-range dependencies learning based on non-local 1D-convolutional neural network for rolling bearing fault diagnosis H Wang, Z Liu, T Ai Journal of Dynamics, Monitoring and Diagnostics 1 (3), 148-159, 2022 | 32 | 2022 |
| RMA-CNN: A residual mixed-domain attention CNN for bearings fault diagnosis and its time-frequency domain interpretability D Peng, H Wang, W Desmet, K Gryllias Journal of Dynamics, Monitoring and Diagnostics, 2023 | 29 | 2023 |
Zhiliang LiuUniversity of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
