| BS-Nets: An end-to-end framework for band selection of hyperspectral image Y Cai, X Liu, Z Cai IEEE Transactions on Geoscience and Remote Sensing 58 (3), 1969-1984, 2019 | 228 | 2019 |
| Deep hybrid: multi-graph neural network collaboration for hyperspectral image classification D Yao, Z Zhi-li, Z Xiao-feng, C Wei, H Fang, C Yao-ming, WW Cai Defence Technology 23, 164-176, 2023 | 137 | 2023 |
| Graph convolutional subspace clustering: A robust subspace clustering framework for hyperspectral image Y Cai, Z Zhang, Z Cai, X Liu, X Jiang, Q Yan IEEE Transactions on Geoscience and Remote Sensing 59 (5), 4191-4202, 2020 | 116 | 2020 |
| Self-supervised locality preserving low-pass graph convolutional embedding for large-scale hyperspectral image clustering Y Ding, Z Zhang, X Zhao, Y Cai, S Li, B Deng, W Cai IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 96 | 2022 |
| Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification Z Zhang, Y Ding, X Zhao, L Siye, N Yang, Y Cai, Y Zhan Expert Systems with Applications 217, 119508, 2023 | 90 | 2023 |
| Unsupervised hyperspectral image band selection based on deep subspace clustering M Zeng, Y Cai, Z Cai, X Liu, P Hu, J Ku IEEE Geoscience and Remote Sensing Letters 16 (12), 1889-1893, 2019 | 60 | 2019 |
| Band selection of hyperspectral images using multiobjective optimization-based sparse self-representation P Hu, X Liu, Y Cai, Z Cai IEEE Geoscience and Remote Sensing Letters 16 (3), 452-456, 2018 | 60 | 2018 |
| Graph regularized residual subspace clustering network for hyperspectral image clustering Y Cai, M Zeng, Z Cai, X Liu, Z Zhang Information Sciences 578, 85-101, 2021 | 58 | 2021 |
| Deep multigrained cascade forest for hyperspectral image classification X Liu, R Wang, Z Cai, Y Cai, X Yin IEEE Transactions on Geoscience and Remote Sensing 57 (10), 8169-8183, 2019 | 58 | 2019 |
| Efficient graph convolutional self-representation for band selection of hyperspectral image Y Cai, Z Zhang, X Liu, Z Cai IEEE journal of selected topics in applied earth observations and remote …, 2020 | 52 | 2020 |
| Hierarchical ensemble of extreme learning machine Y Cai, X Liu, Y Zhang, Z Cai Pattern Recognition Letters 116, 101-106, 2018 | 50 | 2018 |
| Superpixel contracted neighborhood contrastive subspace clustering network for hyperspectral images Y Cai, Z Zhang, P Ghamisi, Y Ding, X Liu, Z Cai, R Gloaguen IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 46 | 2022 |
| Hypergraph-structured autoencoder for unsupervised and semisupervised classification of hyperspectral image Y Cai, Z Zhang, Z Cai, X Liu, X Jiang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 39 | 2021 |
| Extreme learning machine-based ensemble transfer learning for hyperspectral image classification X Liu, Q Hu, Y Cai, Z Cai IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 38 | 2020 |
| A multiobjective optimization-based sparse extreme learning machine algorithm Y Wu, Y Zhang, X Liu, Z Cai, Y Cai Neurocomputing 317, 88-100, 2018 | 38 | 2018 |
| Spectral-spatial clustering of hyperspectral image based on Laplacian regularized deep subspace clustering M Zeng, Y Cai, X Liu, Z Cai, X Li IGARSS 2019-2019 IEEE international geoscience and remote sensing symposium …, 2019 | 34 | 2019 |
| Cooperative spectral–spatial attention dense network for hyperspectral image classification Z Dong, Y Cai, Z Cai, X Liu, Z Yang, M Zhuge IEEE Geoscience and Remote Sensing Letters 18 (5), 866-870, 2020 | 31 | 2020 |
| Semi-supervised learning with graph convolutional extreme learning machines Z Zhang, Y Cai, W Gong Expert Systems with Applications 213, 119164, 2023 | 28 | 2023 |
| Densely connected convolutional extreme learning machine for hyperspectral image classification Y Cai, Z Zhang, Q Yan, D Zhang, MJ Banu Neurocomputing 434, 21-32, 2021 | 25 | 2021 |
| Nonlocal band attention network for hyperspectral image band selection T Li, Y Cai, Z Cai, X Liu, Q Hu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 22 | 2021 |
Xiaobo LiuChina University of GeosciencesVerified email at cug.edu.cn
