| Spatio-temporal wireless traffic prediction with recurrent neural network C Qiu, Y Zhang, Z Feng, P Zhang, S Cui IEEE Wireless Communications Letters 7 (4), 554-557, 2018 | 179 | 2018 |
| Swell-noise attenuation: A deep learning approach X Zhao, P Lu, Y Zhang, J Chen, X Li The Leading Edge 38 (12), 934-942, 2019 | 38 | 2019 |
| Power versus spectrum 2-D sensing in energy harvesting cognitive radio networks Y Zhang, W Han, D Li, P Zhang, S Cui IEEE Transactions on Signal Processing 63 (23), 6200-6212, 2015 | 23 | 2015 |
| Deep learning for 3D seismic compressive-sensing technique: A novel approach P Lu, Y Xiao, Y Zhang, N Mitsakos The Leading Edge 38 (9), 698-705, 2019 | 13 | 2019 |
| Reconstruction of missing spring discharge by using deep learning models with ensemble empirical mode decomposition of precipitation R Zhou, Y Zhang Environmental Science and Pollution Research 29 (54), 82451-82466, 2022 | 12 | 2022 |
| On the role of the architecture for spring discharge prediction with deep learning approaches R Zhou, Y Zhang Hydrological Processes 36 (10), e14737, 2022 | 8 | 2022 |
| Enhancement of seismic imaging: An innovative deep learning approach Y Zhang, P Lu, H Yu, S Morris arXiv preprint arXiv:1909.06016, 2019 | 8 | 2019 |
| Sensing statistical primary network patterns via Bayesian network structure learning W Han, H Sang, X Ma, J Li, Y Zhang, S Cui IEEE Transactions on Vehicular Technology 66 (4), 3143-3157, 2016 | 7 | 2016 |
| Linear and nonlinear ensemble deep learning models for karst spring discharge forecasting R Zhou, Y Zhang Journal of Hydrology 627, 130394, 2023 | 5 | 2023 |
| Two-dimensional sensing in energy harvesting cognitive radio networks Y Zhang, W Han, D Li, P Zhang, S Cui 2015 IEEE International Conference on Communication Workshop (ICCW), 2029-2034, 2015 | 5 | 2015 |
| Enhanced seismic imaging with predictive neural networks for geophysics P Lu, Y Zhang, J Chen, Y Xiao, G Zhao arXiv preprint arXiv:1908.03973, 2019 | 4 | 2019 |
| Predicting and explaining karst spring dissolved oxygen using interpretable deep learning approach R Zhou, Y Zhang Hydrological Processes 37 (8), e14948, 2023 | 3 | 2023 |
| Reservoir Characterizations by Deep-Learning Model: Detection of True Sand Thickness P Lu, Y Zhang, H Yu, S Morris arXiv preprint arXiv:1909.06005, 2019 | 1 | 2019 |
