| Remote sensing image classification based on a cross-attention mechanism and graph convolution W Cai, Z Wei IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 196 | 2020 |
| Review of multi-view 3D object recognition methods based on deep learning S Qi, X Ning, G Yang, L Zhang, P Long, W Cai, W Li Displays 69, 102053, 2021 | 169 | 2021 |
| PiiGAN: generative adversarial networks for pluralistic image inpainting W Cai, Z Wei IEEE Access 8, 48451-48463, 2020 | 143 | 2020 |
| Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification Y Ding, Z Zhang, X Zhao, D Hong, W Cai, C Yu, N Yang, W Cai Neurocomputing 501, 246-257, 2022 | 135 | 2022 |
| A novel group recommendation model with two-stage deep learning Z Huang, Y Liu, C Zhan, C Lin, W Cai, Y Chen IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (9), 5853-5864, 2021 | 114 | 2021 |
| 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 | 113 | 2023 |
| A review of research on co‐training X Ning, X Wang, S Xu, W Cai, L Zhang, L Yu, W Li Concurrency and computation: practice and experience 35 (18), e6276, 2023 | 109 | 2023 |
| Voxel-based three-view hybrid parallel network for 3D object classification W Cai, D Liu, X Ning, C Wang, G Xie Displays 69, 102076, 2021 | 98 | 2021 |
| TARDB-Net: triple-attention guided residual dense and BiLSTM networks for hyperspectral image classification W Cai, B Liu, Z Wei, M Li, J Kan Multimedia Tools and Applications 80, 11291-11312, 2021 | 94 | 2021 |
| Fast forest fire smoke detection using MVMNet Y Hu, J Zhan, G Zhou, A Chen, W Cai, K Guo, Y Hu, L Li Knowledge-Based Systems 241, 108219, 2022 | 86 | 2022 |
| Quadratic polynomial guided fuzzy C-means and dual attention mechanism for medical image segmentation W Cai, B Zhai, Y Liu, R Liu, X Ning Displays 70, 102106, 2021 | 86 | 2021 |
| Hybrid Dilated Convolution Guided Feature Filtering and Enhancement Strategy for Hyperspectral Image Classification R Liu, W Cai, G Li, X Ning, Y Jiang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 85 | 2021 |
| ARFace: attention-aware and regularization for face recognition with reinforcement learning L Zhang, L Sun, L Yu, X Dong, J Chen, W Cai, C Wang, X Ning IEEE Transactions on Biometrics, Behavior, and Identity Science 4 (1), 30-42, 2021 | 74 | 2021 |
| 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 | 73 | 2022 |
| Multi-source domain transfer discriminative dictionary learning modeling for electroencephalogram-based emotion recognition X Gu, W Cai, M Gao, Y Jiang, X Ning, P Qian IEEE Transactions on Computational Social Systems 9 (6), 1604-1612, 2022 | 71 | 2022 |
| MC-Net: Multiple max-pooling integration module and cross multi-scale deconvolution network H You, L Yu, S Tian, X Ma, Y Xing, N Xin, W Cai Knowledge-Based Systems 231, 107456, 2021 | 68 | 2021 |
| Small sample classification of hyperspectral remote sensing images based on sequential joint deeping learning model Z Wang, C Zou, W Cai Ieee Access 8, 71353-71363, 2020 | 67 | 2020 |
| An improved encoder-decoder network based on strip pool method applied to segmentation of farmland vacancy field X Zhang, Y Yang, Z Li, X Ning, Y Qin, W Cai Entropy 23 (4), 435, 2021 | 64 | 2021 |
| Multimodal Data Guided Spatial Feature Fusion and Grouping Strategy for E‐Commerce Commodity Demand Forecasting W Cai, Y Song, Z Wei Mobile Information Systems 2021 (1), 5568208, 2021 | 62 | 2021 |
| Unsupervised self-correlated learning smoothy enhanced locality preserving graph convolution embedding clustering for hyperspectral images Y Ding, Z Zhang, X Zhao, W Cai, N Yang, H Hu, X Huang, Y Cao, W Cai IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 61 | 2022 |
Liujun LiMissouri University of Science and Technology在 mst.edu 的电子邮件经过验证
