| Dual attention deep fusion semantic segmentation networks of large-scale satellite remote-sensing images X Li, F Xu, X Lyu, H Gao, Y Tong, S Cai, S Li, D Liu International Journal of Remote Sensing 42 (9), 3583-3610, 2021 | 60 | 2021 |
| A synergistical attention model for semantic segmentation of remote sensing images X Li, F Xu, F Liu, X Lyu, Y Tong, Z Xu, J Zhou IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023 | 44 | 2023 |
| A remote-sensing image pan-sharpening method based on multi-scale channel attention residual network X Li, F Xu, X Lyu, Y Tong, Z Chen, S Li, D Liu IEEE Access 8, 27163-27177, 2020 | 32 | 2020 |
| An object-based river extraction method via optimized transductive support vector machine for multi-spectral remote-sensing images X Li, X Lyu, Y Tong, S Li, D Liu IEEE Access 7, 46165-46175, 2019 | 26 | 2019 |
| Encoding contextual information by interlacing transformer and convolution for remote sensing imagery semantic segmentation X Li, F Xu, R Xia, T Li, Z Chen, X Wang, Z Xu, X Lyu Remote Sensing 14 (16), 4065, 2022 | 25 | 2022 |
| A trajectory released scheme for the internet of vehicles based on differential privacy S Cai, X Lyu, X Li, D Ban, T Zeng IEEE Transactions on Intelligent Transportation Systems 23 (9), 16534-16547, 2021 | 22 | 2021 |
| Attentively learning edge distributions for semantic segmentation of remote sensing imagery X Li, T Li, Z Chen, K Zhang, R Xia Remote Sensing 14 (1), 102, 2021 | 18 | 2021 |
| Hybridizing cross-level contextual and attentive representations for remote sensing imagery semantic segmentation X Li, F Xu, R Xia, X Lyu, H Gao, Y Tong Remote Sensing 13 (15), 2986, 2021 | 18 | 2021 |
| Hybridizing Euclidean and hyperbolic similarities for attentively refining representations in semantic segmentation of remote sensing images X Li, F Xu, F Liu, R Xia, Y Tong, L Li, Z Xu, X Lyu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 12 | 2022 |
| SSCNet: A spectrum-space collaborative network for semantic segmentation of remote sensing images X Li, F Xu, X Yong, D Chen, R Xia, B Ye, H Gao, Z Chen, X Lyu Remote Sensing 15 (23), 5610, 2023 | 10 | 2023 |
| Multiscale normalization attention network for water body extraction from remote sensing imagery X Lyu, Y Fang, B Tong, X Li, T Zeng Remote Sensing 14 (19), 4983, 2022 | 9 | 2022 |
| Semantic segmentation of remote sensing images by interactive representation refinement and geometric prior-guided inference X Li, F Xu, F Liu, Y Tong, X Lyu, J Zhou IEEE Transactions on Geoscience and Remote Sensing, 2023 | 8 | 2023 |
| MSAFNet: Multiscale successive attention fusion network for water body extraction of remote sensing images X Lyu, W Jiang, X Li, Y Fang, Z Xu, X Wang Remote Sensing 15 (12), 3121, 2023 | 8 | 2023 |
| Boundary-guided semantic context network for water body extraction from remote sensing images J Yu, Y Cai, X Lyu, Z Xu, X Wang, Y Fang, W Jiang, X Li Remote Sensing 15 (17), 4325, 2023 | 4 | 2023 |
| SigCo: Eliminate the inter-class competition via sigmoid for learning with noisy labels A Chen, F Xu, T Zeng, X Lyu, X Li Knowledge-Based Systems 294, 111651, 2024 | 3 | 2024 |
| PPP/INS Tight Integration with BDS− 3 PPP− B2b Service in the Urban Environment L Lai, X Meng, D Zhao, X Li, W Guo, L Li Sensors 23 (5), 2652, 2023 | 3 | 2023 |
| A spectral–spatial context-boosted network for semantic segmentation of remote sensing images X Li, X Yong, T Li, Y Tong, H Gao, X Wang, Z Xu, Y Fang, Q You, X Lyu Remote Sensing 16 (7), 1214, 2024 | 2 | 2024 |
| A CBAM‐GAN‐based method for super‐resolution reconstruction of remote sensing image L Wang, Q Yu, X Li, H Zeng, H Zhang, H Gao IET Image Processing 18 (2), 548-560, 2024 | 2 | 2024 |
| Multi-Attribute NMS: An Enhanced Non-Maximum Suppression Algorithm for Pedestrian Detection in Crowded Scenes W Wang, X Li, X Lyu, T Zeng, J Chen, S Chen Applied Sciences 13 (14), 8073, 2023 | 2 | 2023 |
| TSS-Net: Two-stage with sample selection and semi-supervised net for deep learning with noisy labels X Lyu, J Wang, T Zeng, X Li, J Chen, X Wang, Z Xu Third International Conference on Intelligent Computing and Human-Computer …, 2023 | 2 | 2023 |
