| Discontinuous Galerkin time-domain methods for multiscale electromagnetic simulations: A review J Chen, QH Liu Proceedings of the IEEE 101 (2), 242-254, 2012 | 201 | 2012 |
| A Maxwell's equations based deep learning method for time domain electromagnetic simulations P Zhang, Y Hu, Y Jin, S Deng, X Wu, J Chen IEEE Journal on Multiscale and Multiphysics Computational Techniques 6, 35-40, 2021 | 96 | 2021 |
| Retrieving low wavenumber information in FWI: An overview of the cycle-skipping phenomenon and solutions W Hu, J Chen, J Liu, A Abubakar IEEE Signal Processing Magazine 35 (2), 132-141, 2018 | 68 | 2018 |
| Efficient implicit–explicit time stepping scheme with domain decomposition for multiscale modeling of layered structures J Chen, LE Tobon, M Chai, JA Mix, QH Liu IEEE Transactions on Components, Packaging and Manufacturing Technology 1 (9 …, 2011 | 65 | 2011 |
| Progressive transfer learning for low-frequency data prediction in full-waveform inversion W Hu, Y Jin, X Wu, J Chen Geophysics 86 (4), R369-R382, 2021 | 64 | 2021 |
| A supervised descent learning technique for solving directional electromagnetic logging-while-drilling inverse problems Y Hu, R Guo, Y Jin, X Wu, M Li, A Abubakar, J Chen IEEE Transactions on Geoscience and Remote Sensing 58 (11), 8013-8025, 2020 | 60 | 2020 |
| A 3-D discontinuous spectral element time-domain method for Maxwell's equations JH Lee, J Chen, QH Liu IEEE transactions on antennas and propagation 57 (9), 2666-2674, 2009 | 59 | 2009 |
| A nonspurious 3-D vector discontinuous Galerkin finite-element time-domain method J Chen, QH Liu, M Chai, JA Mix IEEE microwave and wireless components letters 20 (1), 1-3, 2009 | 57 | 2009 |
| Dynamic magnetic induction wireless communications for autonomous-underwater-vehicle-assisted underwater IoT D Wei, L Yan, C Huang, J Wang, J Chen, M Pan, Y Fang IEEE Internet of Things Journal 7 (10), 9834-9845, 2020 | 53 | 2020 |
| A robust first-arrival picking workflow using convolutional and recurrent neural networks P Yuan, S Wang, W Hu, X Wu, J Chen, H Van Nguyen Geophysics 85 (5), U109-U119, 2020 | 49 | 2020 |
| A physics-driven deep-learning network for solving nonlinear inverse problems Y Jin, Q Shen, X Wu, J Chen, Y Huang Petrophysics 61 (01), 86-98, 2020 | 49 | 2020 |
| Learn low wavenumber information in FWI via deep inception based convolutional networks Y Jin, W Hu, X Wu, J Chen SEG International Exposition and Annual Meeting, SEG-2018-2997901, 2018 | 48 | 2018 |
| First-break automatic picking with deep semisupervised learning neural network KC Tsai, W Hu, X Wu, J Chen, Z Han SEG Technical Program Expanded Abstracts 2018, 2181-2185, 2018 | 47 | 2018 |
| Parallel multiple-chain DRAM MCMC for large-scale geosteering inversion and uncertainty quantification H Lu, Q Shen, J Chen, X Wu, X Fu Journal of Petroleum Science and Engineering 174, 189-200, 2019 | 45 | 2019 |
| Seismic data denoising by deep-residual networks Y Jin, X Wu, J Chen, Z Han, W Hu SEG Technical Program Expanded Abstracts 2018, 4593-4597, 2018 | 45 | 2018 |
| A theory-guided deep neural network for time domain electromagnetic simulation and inversion using a differentiable programming platform Y Hu, Y Jin, X Wu, J Chen IEEE Transactions on Antennas and Propagation 70 (1), 767-772, 2021 | 41 | 2021 |
| Automatic first arrival picking via deep learning with human interactive learning KC Tsai, W Hu, X Wu, J Chen, Z Han IEEE Transactions on Geoscience and Remote Sensing 58 (2), 1380-1391, 2019 | 40 | 2019 |
| A novel 2.5 D finite difference scheme for simulations of resistivity logging in anisotropic media S Zeng, F Chen, D Li, J Chen, J Chen Journal of Applied Geophysics 150, 144-152, 2018 | 39 | 2018 |
| A non-spurious vector spectral element method for Maxwell's equations J Chen, QH Liu Progress In Electromagnetics Research 96, 205-215, 2009 | 39 | 2009 |
| Solving geosteering inverse problems by stochastic Hybrid Monte Carlo method Q Shen, X Wu, J Chen, Z Han, Y Huang Journal of Petroleum Science and Engineering 161, 9-16, 2018 | 35 | 2018 |
Xuqing WuUniversity of HoustonПотвърден имейл адрес: uh.edu