| Imaging using cylindrical vector beams in a high numerical aperture microscopy system R Chen, K Agarwal, CJR Sheppard, X Chen Optics Letters 38 (16), 3111–3114, 2013 | 162 | 2013 |
| Multiple Signal Classification Algorithm for super-resolution fluorescence microscopy K Agarwal, R Machan Nature Communications 7, 13752, 2016 | 126 | 2016 |
| Effect of absorption on terahertz surface plasmon polaritons propagating along periodically corrugated metal wires L Shen, X Chen, Y Zhong, K Agarwal Physical Review B 77 (7), 075408, 2008 | 62 | 2008 |
| Applicability of MUSIC-type imaging in two-dimensional electromagnetic inverse problems K Agarwal, X Chen Antennas and Propagation, IEEE Transactions on 56 (10), 3217-3223, 2008 | 61 | 2008 |
| Subspace-based optimization method for reconstruction of 2-D complex anisotropic dielectric objects K Agarwal, L Pan, X Chen Microwave Theory and Techniques, IEEE Transactions on 58 (4), 1065-1074, 2010 | 50 | 2010 |
| An improved subspace-based optimization method and its implementation in solving three-dimensional inverse problems Y Zhong, X Chen, K Agarwal Geoscience and Remote Sensing, IEEE Transactions on 48 (10), 3763-3768, 2010 | 48 | 2010 |
| MUSIC algorithm for two-dimensional inverse problems with special characteristics of cylinders X Chen, K Agarwal Antennas and Propagation, IEEE Transactions on 56 (6), 1808-1812, 2008 | 47 | 2008 |
| A multipole-expansion based linear sampling method for solving inverse scattering problems K Agarwal, X Chen, Y Zhong Optics Express 18 (6), 6366-6381, 2010 | 45 | 2010 |
| Physics-based machine learning for subcellular segmentation in living cells AA Sekh, IS Opstad, G Godtliebsen, ÅB Birgisdottir, BS Ahluwalia, ... Nature Machine Intelligence 3 (12), 1071-1080, 2021 | 43 | 2021 |
| Classification of micro-damage in piezoelectric ceramics using machine learning of ultrasound signals G Tripathi, H Anowarul, K Agarwal, DK Prasad Sensors 19 (19), 4216, 2019 | 36 | 2019 |
| Subspace-based optimization method for reconstructing extended scatterers: Transverse electric case L Pan, K Agarwal, Y Zhong, SP Yeo, X Chen JOSA A 26 (9), 1932-1937, 2009 | 36 | 2009 |
| Subspace-based optimization method for reconstructing perfectly electric conductors X Ye, X Chen, Y Zhong, K Agarwal Progress In Electromagnetics Research 100, 119-128, 2010 | 35 | 2010 |
| Viewing life without labels under optical microscopes B Ghosh, K Agarwal Communications Biology 6 (1), 559, 2023 | 31 | 2023 |
| Dyadic Green’s function for aplanatic solid immersion lens based sub-surface microscopy L Hu, R Chen, K Agarwal, CJR Sheppard, JCH Phang, X Chen Optics Express 19 (20), 19280-19295, 2011 | 27 | 2011 |
| On-chip TIRF nanoscopy by applying Haar wavelet kernel analysis on intensity fluctuations induced by chip illumination N Jayakumar, ØI Helle, K Agarwal, BS Ahluwalia Optics Express, 2020 | 26 | 2020 |
| Fluorescence fluctuations-based super-resolution microscopy techniques: an experimental comparative study IS Opstad, S Acuña, LEV Hernandez, J Cauzzo, N Škalko-Basnet, ... arXiv preprint arXiv:2008.09195, 2020 | 26 | 2020 |
| Through-wall imaging: Application of subspace-based optimization method T Lu, K Agarwal, Y Zhong, X Chen Progress In Electromagnetics Research 102, 351-366, 2010 | 26 | 2010 |
| Multi-resolution subspace-based optimization method for solving three-dimensional inverse scattering problems X Ye, L Poli, G Oliveri, Y Zhong, K Agarwal, A Massa, X Chen Journal of the Optical Society of America A 32 (11), 2218-2226, 2015 | 25 | 2015 |
| Physics-guided loss functions improve deep learning performance in inverse scattering Z Liu, M Roy, DK Prasad, K Agarwal IEEE Transactions on Computational Imaging 8, 236-245, 2022 | 24 | 2022 |
| A complete and computationally efficient numerical model of aplanatic solid immersion lens scanning microscope R Chen, K Agarwal, CJR Sheppard, JCH Phang, X Chen Optics express 21 (12), 14316-14330, 2013 | 24 | 2013 |
Xudong ChenNational University of SingaporeEmail verificata su nus.edu.sg
