| A compound fault diagnosis for rolling bearings method based on blind source separation and ensemble empirical mode decomposition H Wang, R Li, G Tang, H Yuan, Q Zhao, X Cao PLoS One 9 (10), e109166, 2014 | 87 | 2014 |
| Application of total-variation-based curvelet shrinkage for three-dimensional seismic data denoising G Tang, J Ma IEEE geoscience and remote sensing letters 8 (1), 103-107, 2010 | 83 | 2010 |
| Underdetermined blind separation of bearing faults in hyperplane space with variational mode decomposition G Li, G Tang, G Luo, H Wang Mechanical Systems and Signal Processing 120, 83-97, 2019 | 79 | 2019 |
| Underdetermined blind source separation with variational mode decomposition for compound roller bearing fault signals G Tang, G Luo, W Zhang, C Yang, H Wang Sensors 16 (6), 897, 2016 | 76 | 2016 |
| Application of randomized sampling schemes to curvelet‐based sparsity‐promoting seismic data recovery R Shahidi, G Tang, J Ma, FJ Herrmann Geophysical Prospecting 61 (5), 973-997, 2013 | 73 | 2013 |
| Seismic data denoising based on learning-type overcomplete dictionaries G Tang, JW Ma, HZ Yang Applied Geophysics 9 (1), 27-32, 2012 | 67 | 2012 |
| Seismic data denoising based on learning-type overcomplete dictionaries G Tang, JW Ma, HZ Yang Applied Geophysics 9 (1), 27-32, 2012 | 67 | 2012 |
| Sparse classification of rotating machinery faults based on compressive sensing strategy G Tang, Q Yang, HQ Wang, G Luo, J Ma Mechatronics 31, 60-67, 2015 | 66 | 2015 |
| Compound bearing fault detection under varying speed conditions with virtual multichannel signals in angle domain G Tang, Y Wang, Y Huang, N Liu, J He IEEE Transactions on Instrumentation and Measurement 69 (8), 5535-5545, 2020 | 65 | 2020 |
| Long short-term memory network with multi-resolution singular value decomposition for prediction of bearing performance degradation M He, Y Zhou, Y Li, G Wu, G Tang Measurement 156, 107582, 2020 | 64 | 2020 |
| Deep dynamic adaptive transfer network for rolling bearing fault diagnosis with considering cross-machine instance Y Zhou, Y Dong, H Zhou, G Tang IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 51 | 2021 |
| Multiscale rock-physics templates for gas detection in carbonate reservoirs J Ba, H Cao, JM Carcione, G Tang, XF Yan, W Sun, J Nie Journal of Applied Geophysics 93, 77-82, 2013 | 50 | 2013 |
| Compressive sensing of roller bearing faults via harmonic detection from under-sampled vibration signals G Tang, W Hou, H Wang, G Luo, J Ma Sensors 15 (10), 25648-25662, 2015 | 43 | 2015 |
| An improved method based on CEEMD for fault diagnosis of rolling bearing M Li, H Wang, G Tang, H Yuan, Y Yang Advances in Mechanical Engineering 6, 676205, 2014 | 39 | 2014 |
| Blind source separation of composite bearing vibration signals with low-rank and sparse decomposition G Li, G Tang, H Wang, Y Wang Measurement 145, 323-334, 2019 | 37 | 2019 |
| Fault detection enhancement in rolling element bearings via peak-based multiscale decomposition and envelope demodulation HQ Wang, W Hou, G Tang, HF Yuan, QL Zhao, X Cao Mathematical Problems in Engineering 2014, 2014 | 37 | 2014 |
| Computer audition for healthcare: Opportunities and challenges K Qian, X Li, H Li, S Li, W Li, Z Ning, S Yu, L Hou, G Tang, J Lu, F Li, ... Frontiers in Digital Health 2, 5, 2020 | 33 | 2020 |
| Improved empirical wavelet transform for compound weak bearing fault diagnosis with acoustic signals C Qin, D Wang, Z Xu, G Tang Applied Sciences 10 (2), 682, 2020 | 32 | 2020 |
| Multiple time-frequency curve classification for tacho-less and resampling-less compound bearing fault detection under time-varying speed conditions G Tang, Y Wang, Y Huang, H Wang IEEE Sensors Journal 21 (4), 5091-5101, 2020 | 29 | 2020 |
| Rapid prototyping of cyclic olefin copolymer based microfluidic system with CO2 laser ablation J Cai, J Jiang, F Gao, G Jia, J Zhuang, G Tang, Y Fan Microsystem Technologies 23, 5063-5069, 2017 | 29 | 2017 |
Jianwei MaProfessor, School of Earth and Space Sciences, Peking University; Harbin Institute of TechnologyVerified email at hit.edu.cn
