| Spectral–spatial classification of hyperspectral imagery with 3D convolutional neural network Y Li, H Zhang, Q Shen Remote Sensing 9 (1), 67, 2017 | 1450 | 2017 |
| Deep learning for remote sensing image classification: A survey Y Li, H Zhang, X Xue, Y Jiang, Q Shen Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (6 …, 2018 | 575 | 2018 |
| Spectral-spatial classification of hyperspectral imagery using a dual-channel convolutional neural network H Zhang, Y Li, Y Zhang, Q Shen Remote sensing letters 8 (5), 438-447, 2017 | 343 | 2017 |
| Hyperspectral classification based on lightweight 3-D-CNN with transfer learning H Zhang, Y Li, Y Jiang, P Wang, Q Shen, C Shen IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5813-5828, 2019 | 235 | 2019 |
| Hyperspectral images classification based on dense convolutional networks with spectral-wise attention mechanism B Fang, Y Li, H Zhang, JCW Chan Remote Sensing 11 (2), 159, 2019 | 201 | 2019 |
| Exploiting temporal consistency for real-time video depth estimation H Zhang, C Shen, Y Li, Y Cao, Y Liu, Y Yan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 165 | 2019 |
| ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer H Zhang, W Hu, X Wang European Conference on Computer Vision (ECCV), 2022 | 134* | 2022 |
| Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples B Fang, Y Li, H Zhang, JCW Chan ISPRS Journal of Photogrammetry and Remote Sensing 161, 164-178, 2020 | 115 | 2020 |
| Hyperspectral image classification based on 3-D separable ResNet and transfer learning Y Jiang, Y Li, H Zhang IEEE Geoscience and Remote Sensing Letters 16 (12), 1949-1953, 2019 | 114 | 2019 |
| Memory-efficient hierarchical neural architecture search for image denoising H Zhang, Y Li, H Chen, C Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 94 | 2020 |
| Semi-supervised deep learning classification for hyperspectral image based on dual-strategy sample selection B Fang, Y Li, H Zhang, JCW Chan Remote Sensing 10 (4), 574, 2018 | 70 | 2018 |
| Deep learning for hyperspectral imagery classification: the state of the art and prospects HK Zhang, Y Li, YN Jiang Acta Autom. Sin 44 (6), 961-977, 2018 | 64* | 2018 |
| Hyperspectral image classification with spatial consistence using fully convolutional spatial propagation network Y Jiang, Y Li, S Zou, H Zhang, Y Bai IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10425-10437, 2021 | 53 | 2021 |
| 3-D-ANAS: 3-D asymmetric neural architecture search for fast hyperspectral image classification H Zhang, C Gong, Y Bai, Z Bai, Y Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2021 | 47 | 2021 |
| D3d: Dual 3-d convolutional network for real-time action recognition S Jiang, Y Qi, H Zhang, Z Bai, X Lu, P Wang IEEE Transactions on Industrial Informatics 17 (7), 4584-4593, 2020 | 44 | 2020 |
| Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification Xizhe Xue, Haokui Zhang, Bei Fang, Zongwen Bai, Ying Li IEEE Transactions on Geoscience and Remote Sensing 60, 2022 | 40 | 2022 |
| Hyperspectral Image Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning B Fang, Y Liu, H Zhang, J He Remote Sensing 14 (7), 1711, 2022 | 29* | 2022 |
| Advancements in Visual Language Models for Remote Sensing: Datasets, Capabilities, and Enhancement Techniques L Tao, H Zhang*, H Jing, Y Liu, D Yan, T Wei, X Xue Remote Sensing, 2025 | 28 | 2025 |
| Pseudo-LiDAR-based road detection L Sun, H Zhang, W Yin IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 5386-5398, 2022 | 27 | 2022 |
| Memory-efficient hierarchical neural architecture search for image restoration H Zhang, Y Li, H Chen, C Gong, Z Bai, C Shen International Journal of Computer Vision 130 (1), 157-178, 2022 | 22* | 2022 |
Xizhe XueTechnical University of MunichVerified email at tum.de
