| Deep-learning schemes for full-wave nonlinear inverse scattering problems Z Wei, X Chen IEEE Transactions on Geoscience and Remote Sensing 57 (4), 1849-1860, 2018 | 480 | 2018 |
| A review of deep learning approaches for inverse scattering problems (invited review) X Chen, Z Wei, L Maokun, P Rocca Electromagnetic Waves 167, 67-81, 2020 | 277 | 2020 |
| Noninterleaved Metasurface for (26-1) Spin- and Wavelength-Encoded Holograms L Jin, Z Dong, S Mei, YF Yu, Z Wei, Z Pan, SD Rezaei, X Li, AI Kuznetsov, ... Nano letters 18 (12), 8016-8024, 2018 | 264 | 2018 |
| Physics-inspired convolutional neural network for solving full-wave inverse scattering problems Z Wei, X Chen IEEE Transactions on Antennas and Propagation 67 (9), 6138-6148, 2019 | 224 | 2019 |
| Dominant-current deep learning scheme for electrical impedance tomography Z Wei, D Liu, X Chen IEEE Transactions on Biomedical Engineering 66 (9), 2546-2555, 2019 | 153 | 2019 |
| Dielectric multi-momentum meta-transformer in the visible L Jin, YW Huang, Z Jin, RC Devlin, Z Dong, S Mei, M Jiang, WT Chen, ... Nature communications 10 (1), 4789, 2019 | 138 | 2019 |
| Uncertainty quantification in inverse scattering problems with bayesian convolutional neural networks Z Wei, X Chen IEEE Transactions on Antennas and Propagation 69 (6), 3409-3418, 2021 | 68 | 2021 |
| An improved deep learning scheme for solving 2-D and 3-D inverse scattering problems Y Zhou, Y Zhong, Z Wei, T Yin, X Chen IEEE Transactions on Antennas and Propagation 69 (5), 2853-2863, 2020 | 63 | 2020 |
| Induced-current learning method for nonlinear reconstructions in electrical impedance tomography Z Wei, X Chen IEEE transactions on medical imaging 39 (5), 1326-1334, 2019 | 48 | 2019 |
| A review of algorithms and hardware implementations in electrical impedance tomography Z Zong, Y Wang, Z Wei Progress In Electromagnetics Research 169, 59-71, 2020 | 42 | 2020 |
| Fourier subspace-based deep learning method for inverse design of frequency selective surface E Zhu, Z Wei, X Xu, WY Yin IEEE Transactions on Antennas and Propagation 70 (7), 5130-5143, 2021 | 40 | 2021 |
| Non-iterative methods based on singular value decomposition for inverse scattering problems T Yin, Z Wei, X Chen IEEE Transactions on Antennas and Propagation 68 (6), 4764-4773, 2020 | 33 | 2020 |
| Adversarial-network regularized inverse design of frequency-selective surface with frequency-temporal deep learning E Zhu, E Li, Z Wei, WY Yin IEEE Transactions on Antennas and Propagation 70 (10), 9460-9469, 2022 | 28 | 2022 |
| Wavelet transform subspace-based optimization method for inverse scattering T Yin, Z Wei, X Chen IEEE Journal on Multiscale and Multiphysics Computational Techniques 3, 176-184, 2018 | 27 | 2018 |
| Quantitative theory for probe-sample interaction with inhomogeneous perturbation in near-field scanning microwave microscopy Z Wei, YT Cui, EY Ma, S Johnston, Y Yang, R Chen, M Kelly, ZX Shen, ... IEEE Transactions on Microwave Theory and Techniques 64 (5), 1402-1408, 2016 | 27 | 2016 |
| Two FFT subspace-based optimization methods for electrical impedance tomography Z Wei, R Chen, H Zhao, X Chen Progress In Electromagnetics Research 157, 111-120, 2016 | 23 | 2016 |
| Focus shaping of high numerical aperture lens using physics-assisted artificial neural networks ZY Chen, Z Wei, R Chen, JW Dong Optics Express 29 (9), 13011-13024, 2021 | 18 | 2021 |
| Conjugate gradient method for phase retrieval based on the Wirtinger derivative Z Wei, W Chen, CW Qiu, X Chen Journal of the Optical Society of America A 34 (5), 708-712, 2017 | 18 | 2017 |
| Multiple-space deep learning schemes for inverse scattering problems Y Wang, Z Zong, S He, Z Wei IEEE Transactions on Geoscience and Remote Sensing 61, 1-11, 2023 | 15 | 2023 |
| A reliable deep learning scheme for nonlinear reconstructions in electrical impedance tomography Z Wei, Z Zong, Y Wang IEEE Transactions on Computational Imaging 7, 789-798, 2021 | 15 | 2021 |