| An autofocus technique for high-resolution inverse synthetic aperture radar imagery L Zhao, L Wang, G Bi, L Yang IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6392-6403, 2014 | 159 | 2014 |
| Enhanced ISAR imaging by exploiting the continuity of the target scene L Wang, L Zhao, G Bi, C Wan, L Yang IEEE Transactions on Geoscience and Remote Sensing 52 (9), 5736-5750, 2013 | 141 | 2013 |
| Novel wideband DOA estimation based on sparse Bayesian learning with Dirichlet process priors L Wang, L Zhao, G Bi, C Wan, L Zhang, H Zhang IEEE Transactions on Signal Processing 64 (2), 275-289, 2015 | 127 | 2015 |
| Robust frequency-hopping spectrum estimation based on sparse Bayesian method L Zhao, L Wang, G Bi, L Zhang, H Zhang IEEE Transactions on Wireless Communications 14 (2), 781-793, 2014 | 77 | 2014 |
| The race to improve radar imagery: An overview of recent progress in statistical sparsity-based techniques L Zhao, L Wang, L Yang, AM Zoubir, G Bi IEEE Signal Processing Magazine 33 (6), 85-102, 2016 | 75 | 2016 |
| An improved auto-calibration algorithm based on sparse Bayesian learning framework L Zhao, G Bi, L Wang, H Zhang IEEE Signal Processing Letters 20 (9), 889-892, 2013 | 66 | 2013 |
| Sparse representation-based ISAR imaging using Markov random fields L Wang, L Zhao, G Bi, C Wan IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 64 | 2014 |
| Alternative to extended block sparse Bayesian learning and its relation to pattern-coupled sparse Bayesian learning L Wang, L Zhao, S Rahardja, G Bi IEEE Transactions on Signal Processing 66 (10), 2759-2771, 2018 | 50 | 2018 |
| Super-Resolution ISAR Imaging for Maneuvering Target Based on Deep-Learning-Assisted Time-Frequency Analysis J Qian, S Huang, L Wang, G Bi, X Yang IEEE Transactions on Geoscience and Remote Sensing, 2021 | 33 | 2021 |
| Structured sparsity-driven autofocus algorithm for high-resolution radar imagery L Zhao, L Wang, G Bi, S Li, L Yang, H Zhang Signal Processing 125, 376-388, 2016 | 26 | 2016 |
| Structured Bayesian learning for recovery of clustered sparse signal L Wang, L Zhao, L Yu, J Wang, G Bi Signal Processing 166, 107255, 2020 | 23 | 2020 |
| Hierarchical sparse signal recovery by variational Bayesian inference L Wang, L Zhao, G Bi, C Wan IEEE Signal Processing Letters 21 (1), 110-113, 2013 | 21 | 2013 |
| Passive moving target classification via spectra multiplication method Q Wang, X Zeng, L Wang, H Wang, H Cai IEEE Signal Processing Letters 24 (4), 451-455, 2017 | 20 | 2017 |
| Acoustic source localization in strong reverberant environment by parametric Bayesian dictionary learning L Wang, Y Liu, L Zhao, Q Wang, X Zeng, K Chen Signal Processing 143, 232-240, 2018 | 18 | 2018 |
| Computationally efficient wide-band DOA estimation methods based on sparse Bayesian framework L Zhao, X Li, L Wang, G Bi IEEE Transactions on Vehicular Technology 66 (12), 11108-11121, 2017 | 16 | 2017 |
| Target Localization in High-Coherence Multipath Environment Based on Low-Rank Decomposition and Sparse Representation Y Liu, H Liu, L Wang, G Bi IEEE Transactions on Geoscience and Remote Sensing 58 (9), 6197-6209, 2020 | 11 | 2020 |
| Improved stability conditions of BOGA for noisy block-sparse signals L Wang, G Bi, C Wan, X Lv Signal processing 91 (11), 2567-2574, 2011 | 11 | 2011 |
| An Improved Deep Clustering Model for Underwater Acoustical Targets Q Wang, L Wang, X Zeng, L Zhao Neural Processing Letters 48 (3), 1633-1644, 2018 | 10 | 2018 |
| Target Localization in Multipath Propagation Environment Using Dictionary-Based Sparse Representation Y Liu, H Liu, XG Xia, L Wang, G Bi IEEE Access 7, 150583-150597, 2019 | 8 | 2019 |
| Blind frequency hopping spectrum estimation: A Bayesian approach L Zhao, L Wang, G Bi, H Zhang 2014 IEEE fourth international conference on big data and cloud computing …, 2014 | 6 | 2014 |
