| Fast multivariate empirical mode decomposition X Lang, Q Zheng, Z Zhang, S Lu, L Xie, A Horch, H Su IEEE Access 6, 65521-65538, 2018 | 81 | 2018 |
| Median ensemble empirical mode decomposition X Lang, N ur Rehman, Y Zhang, L Xie, H Su Signal Processing 176, 107686, 2020 | 69 | 2020 |
| Improved dynamic kernel principal component analysis for fault detection Q Zhang, P Li, X Lang, A Miao Measurement 158, 107738, 2020 | 50 | 2020 |
| Brain Medical Image Fusion Using L2-Norm-Based Features and Fuzzy-Weighted Measurements in 2D Littlewood-Paley EWT Domain J Xin, Q Jiang, X Chu, X Lang, S Yao, K Li, W Zhou. IEEE Transactions on Instrumentation and Measurement, 2019 | 42 | 2019 |
| Time-frequency analysis of plant-wide oscillations using multivariate intrinsic time-scale decomposition X Lang, Z Zhang, L Xie, A Horch, H Su Industrial & Engineering Chemistry Research 57 (3), 954-966, 2018 | 42 | 2018 |
| Time-varying oscillation detector based on improved LMD and robust Lempel–Ziv complexity L Xie, X Lang, J Chen, A Horch, H Su Control Engineering Practice 51, 48-57, 2016 | 41 | 2016 |
| Online oscillation detection in the presence of signal intermittency L Xie, X Lang, A Horch, Y Yang Control Engineering Practice 55, 91-100, 2016 | 40 | 2016 |
| Detection and root cause analysis of multiple plant-wide oscillations using multivariate nonlinear chirp mode decomposition and multivariate Granger causality Q Chen, X Lang, S Lu, N ur Rehman, L Xie, H Su Computers & Chemical Engineering 147, 107231, 2021 | 34 | 2021 |
| A novel adaptive weighted kernel extreme learning machine algorithm and its application in wind turbine blade icing fault detection R Tong, P Li, X Lang, J Liang, M Cao Measurement 185, 110009, 2021 | 33 | 2021 |
| Detecting nonlinear oscillations in process control loop based on an improved VMD Q Chen, X Lang, L Xie, H Su IEEE Access 7, 91446-91462, 2019 | 32 | 2019 |
| Detection and diagnosis of oscillations in process control by fast adaptive chirp mode decomposition Q Chen, J Chen, X Lang, L Xie, S Lu, H Su Control Engineering Practice 97, 104307, 2020 | 31 | 2020 |
| Multivariate intrinsic chirp mode decomposition Q Chen, X Lang, L Xie, H Su Signal Processing 183, 108009, 2021 | 30 | 2021 |
| Direct multivariate intrinsic time-scale decomposition for oscillation monitoring X Lang, Q Zheng, L Xie, A Horch, H Su IEEE Transactions on Control Systems Technology 28 (6), 2608-2615, 2019 | 29 | 2019 |
| Use of fast multivariate empirical mode decomposition for oscillation monitoring in noisy process plant X Lang, Y Zhang, L Xie, X Jin, A Horch, H Su Industrial & Engineering Chemistry Research 59 (25), 11537-11551, 2020 | 23 | 2020 |
| An efficient and robust muscle artifact removal method for few-channel EEG Y Liu, Y Zhou, X Lang, Y Liu, Q Zheng, Y Zhang, X Jiang, L Zhang, J Tang, ... IEEE Access 7, 176036-176050, 2019 | 19 | 2019 |
| Self-tuning variational mode decomposition Q Chen, J Chen, X Lang, L Xie, N ur Rehman, H Su Journal of the Franklin Institute 358 (15), 7825-7862, 2021 | 18 | 2021 |
| FTGAN: A novel GAN-based data augmentation method coupled time–frequency domain for imbalanced bearing fault diagnosis H Wang, P Li, X Lang, D Tao, J Ma, X Li IEEE Transactions on Instrumentation and Measurement 72, 1-14, 2023 | 14 | 2023 |
| Diagnosis of nonlinearity-induced oscillations in process control loops based on adaptive chirp mode decomposition Q Chen, J Chen, X Lang, L Xie, C Jiang, H Su 2020 American Control Conference (ACC), 2772-2777, 2020 | 14 | 2020 |
| Bihocerence based industrial control loop nonlinearity detection and diagnosis in short nonstationary time series X Lang, S Lu, L Xie, A Zakharov, D Zhong, SL Jämsä-Jounela Journal of Process Control 63, 15-28, 2018 | 12 | 2018 |
| Application of improved multivariate empirical mode decomposition to plant-wide oscillations characterization X Lang, D Zhong, L Xie, J Chen 2017 6th International Symposium on Advanced Control of Industrial Processes …, 2017 | 11 | 2017 |
Lei XieZhejiang UniversityVerified email at zju.edu.cn
