| Fourier method for recovering acoustic sources from multi-frequency far-field data X Wang, Y Guo, D Zhang, H Liu Inverse Problems 33 (3), 035001, 2017 | 58 | 2017 |
| On an artificial neural network for inverse scattering problems Y Gao, H Liu, X Wang, K Zhang Journal of Computational Physics 448, 110771, 2022 | 57 | 2022 |
| Surface-localized transmission eigenstates, super-resolution imaging, and pseudo surface plasmon modes YT Chow, Y Deng, Y He, H Liu, X Wang SIAM Journal on Imaging Sciences 14 (3), 946-975, 2021 | 48 | 2021 |
| Mathematical design of a novel input/instruction device using a moving acoustic emitter X Wang, Y Guo, J Li, H Liu Inverse Problems 33 (10), 105009, 2017 | 30 | 2017 |
| Analysis of electromagnetic scattering from plasmonic inclusions beyond the quasi-static approximation and applications H Li, S Li, H Liu, X Wang ESAIM: Mathematical Modelling and Numerical Analysis 53 (4), 1351-1371, 2019 | 25 | 2019 |
| On geometrical properties of electromagnetic transmission eigenfunctions and artificial mirage Y Deng, H Liu, X Wang, W Wu SIAM Journal on Applied Mathematics 82 (1), 1-24, 2022 | 17 | 2022 |
| Fourier method for identifying electromagnetic sources with multi-frequency far-field data X Wang, M Song, Y Guo, H Li, H Liu Journal of Computational and Applied Mathematics 358, 279-292, 2019 | 15 | 2019 |
| On a novel inverse scattering scheme using resonant modes with enhanced imaging resolution H Liu, X Liu, X Wang, Y Wang Inverse Problems 35 (12), 125012, 2019 | 14 | 2019 |
| Direct imaging for the moment tensor point sources of elastic waves X Wang, Y Guo, S Bousba Journal of Computational Physics 448, 110731, 2022 | 12 | 2022 |
| On vanishing and localizing around corners of electromagnetic transmission resonances H Diao, H Liu, X Wang, K Yang Partial Differential Equations and Applications 2, 1-20, 2021 | 11 | 2021 |
| Identifying multipolar acoustic sources by the direct sampling method S Bousba, Y Guo, X Wang, L Li Applicable Analysis 99 (5), 856-879, 2020 | 11 | 2020 |
| Two gesture-computing approaches by using electromagnetic waves X Wang, Y Guo, J Li, H Liu Inverse Problems and Imaging 13 (4), 879-901, 2019 | 9 | 2019 |
| Three-dimensional elastic scattering coefficients and enhancement of the elastic near cloaking H Liu, WY Tsui, A Wahab, X Wang Journal of Elasticity 143, 111-146, 2021 | 8 | 2021 |
| A novel quantitative inverse scattering scheme using interior resonant modes Y He, H Liu, X Wang Inverse Problems 39 (8), 085002, 2023 | 6 | 2023 |
| A bayesian scheme for reconstructing obstacles in acoustic waveguides Y Gao, H Liu, X Wang, K Zhang Journal of Scientific Computing 97 (3), 53, 2023 | 3 | 2023 |
| A Fourier Method to Recover Elastic Sources with Multi-Frequency Data M Song, X Wang East Asian J. Appl. Math 9, 369-385, 2019 | 3 | 2019 |
| Fourier method for reconstructing elastic body force from the coupled-wave field. X Wang, J Zhu, M Song, W Wu Inverse Problems & Imaging 16 (2), 2022 | 2 | 2022 |
| Reconstruction of acoustic sources from multi-frequency phaseless far-field data F Sun, X Wang Journal of Inverse and Ill-posed Problems 31 (2), 177-189, 2023 | 1 | 2023 |
| Generating geometric body shapes with electromagnetic source scattering techniques H Youzi, L Bin, T Sheng, W Xianchao Electronic Research Archive 28 (2), 1107-1121, 2020 | 1 | 2020 |
| A study of the interior-resonant-mode-based Newton method for inverse scattering problems C Geng, X Wang Communications on Analysis and Computation 1 (4), 407-422, 2023 | | 2023 |
Hongyu LiuChair Professor of Applied Mathematics, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
