| ECG arrhythmia classification using STFT-based spectrogram and convolutional neural network J Huang, B Chen, B Yao, W He IEEE access 7, 92871-92880, 2019 | 592 | 2019 |
| Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform W He, Y Zi, B Chen, F Wu, Z He Mechanical Systems and Signal Processing 54, 457-480, 2015 | 214 | 2015 |
| An improved time-varying mesh stiffness algorithm and dynamic modeling of gear-rotor system with tooth root crack Z Wan, H Cao, Y Zi, W He, Z He Engineering Failure Analysis 42, 157-177, 2014 | 213 | 2014 |
| Mesh stiffness calculation using an accumulated integral potential energy method and dynamic analysis of helical gears Z Wan, H Cao, Y Zi, W He, Y Chen Mechanism and Machine Theory 92, 447-463, 2015 | 204 | 2015 |
| Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification XC Cao, BQ Chen, B Yao, WP He Computers in Industry 106, 71-84, 2019 | 198 | 2019 |
| Sparsity-based algorithm for detecting faults in rotating machines W He, Y Ding, Y Zi, IW Selesnick Mechanical Systems and Signal Processing 72, 46-64, 2016 | 144 | 2016 |
| An intelligent gear fault diagnosis methodology using a complex wavelet enhanced convolutional neural network W Sun, B Yao, N Zeng, B Chen, Y He, X Cao, W He Materials 10 (7), 790, 2017 | 127 | 2017 |
| TF-YOLO: An improved incremental network for real-time object detection W He, Z Huang, Z Wei, C Li, B Guo Applied Sciences 9 (16), 3225, 2019 | 90 | 2019 |
| Tunable Q-factor wavelet transform denoising with neighboring coefficients and its application to rotating machinery fault diagnosis WP He, YY Zi, BQ Chen, S Wang, ZJ He Science China Technological Sciences 56, 1956-1965, 2013 | 88 | 2013 |
| Repetitive transients extraction algorithm for detecting bearing faults W He, Y Ding, Y Zi, IW Selesnick Mechanical Systems and Signal Processing 84, 227-244, 2017 | 67 | 2017 |
| Detection of faults in rotating machinery using periodic time-frequency sparsity Y Ding, W He, B Chen, Y Zi, IW Selesnick Journal of Sound and Vibration 382, 357-378, 2016 | 65 | 2016 |
| Removal of power line interference from ECG signals using adaptive notch filters of sharp resolution B Chen, Y Li, X Cao, W Sun, W He IEEE access 7, 150667-150676, 2019 | 58 | 2019 |
| An adaptive sparse deconvolution method for distinguishing the overlapping echoes of ultrasonic guided waves for pipeline crack inspection Y Chang, Y Zi, J Zhao, Z Yang, W He, H Sun Measurement Science and Technology 28 (3), 035002, 2017 | 56 | 2017 |
| Sparsity-based signal extraction using dual Q-factors for gearbox fault detection W He, B Chen, N Zeng, Y Zi ISA transactions 79, 147-160, 2018 | 54 | 2018 |
| GMC sparse enhancement diagnostic method based on the tunable Q-factor wavelet transform for detecting faults in rotating machines W He, J Hu, B Chen, B Guo Measurement 174, 109001, 2021 | 25 | 2021 |
| A data-driven group-sparse feature extraction method for fault detection of wind turbine transmission system W He, B Guo, B Chen, J Ye, E Bechhoefer Measurement Science and Technology 31 (7), 074008, 2020 | 25 | 2020 |
| Unsupervised defect segmentation of magnetic tile based on attention enhanced flexible U-Net X Cao, B Chen, W He IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022 | 23 | 2022 |
| An intelligent machinery fault diagnosis method based on GAN and transfer learning under variable working conditions W He, J Chen, Y Zhou, X Liu, B Chen, B Guo Sensors 22 (23), 9175, 2022 | 21 | 2022 |
| O2O method for fast 2D shape retrieval Y Zheng, B Guo, Y Yan, W He IEEE Transactions on Image Processing 28 (11), 5366-5378, 2019 | 20 | 2019 |
| Simultaneous human health monitoring and time-frequency sparse representation using EEG and ECG signals W He, G Wang, J Hu, C Li, B Guo, F Li IEEE Access 7, 85985-85994, 2019 | 19 | 2019 |
Nianyin Zeng (曾念寅)Professor, Xiamen UniversityEmail yang diverifikasi di xmu.edu.cn