| Discriminative multiple kernel learning for hyperspectral image classification Q Wang, Y Gu, D Tuia IEEE Transactions on Geoscience and Remote Sensing 54 (7), 3912-3927, 2016 | 137 | 2016 |
| A novel MKL model of integrating LiDAR data and MSI for urban area classification Y Gu, Q Wang, X Jia, JA Benediktsson IEEE transactions on geoscience and remote sensing 53 (10), 5312-5326, 2015 | 127 | 2015 |
| Multiple kernel learning via low-rank nonnegative matrix factorization for classification of hyperspectral imagery Y Gu, Q Wang, H Wang, D You, Y Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 69 | 2014 |
| Improving RGB-infrared object detection by reducing cross-modality redundancy Q Wang, Y Chi, T Shen, J Song, Z Zhang, Y Zhu Remote Sensing 14 (9), 2020, 2022 | 60 | 2022 |
| A discriminative tensor representation model for feature extraction and classification of multispectral LiDAR data Q Wang, Y Gu IEEE Transactions on Geoscience and Remote Sensing 58 (3), 1568-1586, 2019 | 46 | 2019 |
| Discriminative graph-based fusion of HSI and LiDAR data for urban area classification Y Gu, Q Wang IEEE Geoscience and Remote Sensing Letters 14 (6), 906-910, 2017 | 39 | 2017 |
| Multiple kernel sparse representation for airborne LiDAR data classification Y Gu, Q Wang, B Xie IEEE Transactions on Geoscience and Remote Sensing 55 (2), 1085-1105, 2016 | 34 | 2016 |
| Local adaptive illumination-driven input-level fusion for infrared and visible object detection J Wu, T Shen, Q Wang, Z Tao, K Zeng, J Song Remote Sensing 15 (3), 660, 2023 | 30 | 2023 |
| UTFNet: Uncertainty-guided trustworthy fusion network for RGB-thermal semantic segmentation Q Wang, C Yin, H Song, T Shen, Y Gu IEEE Geoscience and Remote Sensing Letters, 2023 | 29 | 2023 |
| Multispectral point cloud superpoint segmentation QW Wang, MY Wang, ZF Zhang, J Song, K Zeng, T Shen, YF Gu Science China Technological Sciences 67 (4), 1270-1281, 2024 | 23 | 2024 |
| UAV-based integrated multispectral-LiDAR imaging system and data processing YF Gu, XD Jin, RZ Xiang, QW Wang, C Wang, SX Yang Science China Technological Sciences 63 (7), 1293-1301, 2020 | 23 | 2020 |
| Multi-attribute smooth graph convolutional network for multispectral points classification QW Wang, YF Gu, M Yang, C Wang Science China Technological Sciences 64 (11), 2509-2522, 2021 | 22 | 2021 |
| Multimodal feature-guided pre-training for RGB-T perception J Ouyang, P Jin, Q Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 13 | 2024 |
| DF2Net: Differential Feature Fusion Network for Hyperspectral Image Classification Q Wang, J Huang, Y Meng, T Shen IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 13 | 2024 |
| NCT: noise-control multi-object tracking K Zeng, Y You, T Shen, Q Wang, Z Tao, Z Wang, Q Liu Complex & Intelligent Systems 9 (4), 4331-4347, 2023 | 13 | 2023 |
| EHGNN: Enhanced Hypergraph Neural Network for Hyperspectral Image Classification Q Wang, J Huang, T Shen, Y Gu IEEE Geoscience and Remote Sensing Letters 21, 1-5, 2024 | 11 | 2024 |
| Unsupervised domain adaptation for cross-scene multispectral point cloud classification Q Wang, M Wang, J Huang, T Liu, T Shen, Y Gu IEEE Transactions on Geoscience and Remote Sensing, 2024 | 10 | 2024 |
| ODinMJ: A red, green, blue-thermal dataset for mountain jungle object detection Q Wang, X Qu, P Jin, L Zhou, J Ouyang, H Song, B Cheng, T Shen IEEE Geoscience and Remote Sensing Magazine, 2024 | 8 | 2024 |
| Spatial-temporal evolution guided change detection network for remote sensing images Q Wang, Z Hong, J Huang, X Zhao, J Song, K Zeng, J Shi, T Shen IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 7 | 2024 |
| Improving rgb-infrared pedestrian detection by reducing cross-modality redundancy Q Wang, Y Chi, T Shen, J Song, Z Zhang, Y Zhu 2022 IEEE International Conference on Image Processing (ICIP), 526-530, 2022 | 6 | 2022 |
