| Local geometric structure feature for dimensionality reduction of hyperspectral imagery F Luo, H Huang, Y Duan, J Liu, Y Liao Remote Sensing 9 (8), 790, 2017 | 159 | 2017 |
| Dimensionality reduction of hyperspectral imagery based on spatial–spectral manifold learning H Huang, G Shi, H He, Y Duan, F Luo IEEE transactions on cybernetics 50 (6), 2604-2616, 2019 | 153 | 2019 |
| Semisupervised feature extraction of hyperspectral image using nonlinear geodesic sparse hypergraphs Y Duan, H Huang, T Wang IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 76 | 2021 |
| Classification via structure-preserved hypergraph convolution network for hyperspectral image Y Duan, F Luo, M Fu, Y Niu, X Gong IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023 | 56 | 2023 |
| Local constraint-based sparse manifold hypergraph learning for dimensionality reduction of hyperspectral image Y Duan, H Huang, Y Tang IEEE Transactions on Geoscience and Remote Sensing 59 (1), 613-628, 2020 | 51 | 2020 |
| Local manifold-based sparse discriminant learning for feature extraction of hyperspectral image Y Duan, H Huang, Z Li, Y Tang IEEE transactions on cybernetics 51 (8), 4021-4034, 2020 | 47 | 2020 |
| Adaptive residual convolutional neural network for hyperspectral image classification H Huang, C Pu, Y Li, Y Duan IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 29 | 2020 |
| Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery H Huang, Z Li, H He, Y Duan, S Yang Pattern recognition 107, 107487, 2020 | 25 | 2020 |
| Dimensionality reduction of hyperspectral image using spatial-spectral regularized sparse hypergraph embedding H Huang, M Chen, Y Duan Remote Sensing 11 (9), 1039, 2019 | 24 | 2019 |
| Local linear spatial–spectral probabilistic distribution for hyperspectral image classification H Huang, Y Duan, H He, G Shi IEEE Transactions on Geoscience and Remote Sensing 58 (2), 1259-1272, 2019 | 20 | 2019 |
| Spatial-spectral local discriminant projection for dimensionality reduction of hyperspectral image H Huang, Y Duan, H He, G Shi, F Luo ISPRS Journal of Photogrammetry and Remote Sensing 156, 77-93, 2019 | 19 | 2019 |
| Interfacial Engineering of In2Se3/h-BN/CsPb(Br/I)3 Heterostructure Photodetector and Its Application in Automatic Obstacle Avoidance System Y Niu, X Zhou, W Gao, M Fu, Y Duan, J Yao, B Wang, M Yang, Z Zheng, ... ACS nano 17 (14), 13760-13768, 2023 | 18 | 2023 |
| DLPNet: A deep manifold network for feature extraction of hyperspectral imagery Z Li, H Huang, Y Duan, G Shi Neural Networks 129, 7-18, 2020 | 17 | 2020 |
| Fusion of weighted mean reconstruction and SVMCK for hyperspectral image classification H Huang, Y Duan, G Shi, Z Lv IEEE Access 6, 15224-15235, 2018 | 11 | 2018 |
| Multi-manifold locality graph preserving analysis for hyperspectral image classification G Shi, H Huang, Z Li, Y Duan Neurocomputing 388, 45-59, 2020 | 10 | 2020 |
| Feature extraction of hyperspectral image with semi-supervised multi-graph embedding H Huang, YX Tang, YL Duan Opt. Precision Eng 28 (2), 443-456, 2020 | 10 | 2020 |
| Semisupervised manifold joint hypergraphs for dimensionality reduction of hyperspectral image Y Duan, H Huang, Y Tang, Y Li, C Pu IEEE Geoscience and Remote Sensing Letters 18 (10), 1811-1815, 2020 | 9 | 2020 |
| Dimensionality reduction method for hyperspectral images based on weighted spatial-spectral combined preserving embedding H Hong, SHI Guangyao, D Yule, Z Limei Acta Geodaetica et Cartographica Sinica 48 (8), 1014, 2019 | 5 | 2019 |
| 基于分水岭及半监督最小误差重构的荧光微球分割及分类方法 黄鸿， 金莹莹， 李政英， 段宇乐， 石光耀 Chinese Journal of Lasers 45 (3), 307013--1, 2018 | 5 | 2018 |
| Rethinking Representation Learning-Based Hyperspectral Target Detection: A Hierarchical Representation Residual Feature-Based Method T Guo, F Luo, Y Duan, X Huang, G Shi Remote Sensing 15 (14), 3608, 2023 | 3 | 2023 |
