| Hyperspectral image super-resolution using deep convolutional neural network Y Li, J Hu, X Zhao, W Xie, JJ Li Neurocomputing 266, 29-41, 2017 | 198 | 2017 |
| Hyperspectral image super-resolution via intrafusion network J Hu, X Jia, Y Li, G He, M Zhao IEEE Transactions on Geoscience and Remote Sensing 58 (10), 7459-7471, 2020 | 68 | 2020 |
| Hyperspectral image super-resolution by spectral difference learning and spatial error correction J Hu, Y Li, W Xie IEEE Geoscience and Remote Sensing Letters 14 (10), 1825-1829, 2017 | 67 | 2017 |
| Scalable video coding based on user’s view for real-time virtual reality applications G He, J Hu, H Jiang, Y Li IEEE Communications Letters 22 (1), 25-28, 2017 | 32 | 2017 |
| Hyperspectral image super-resolution by deep spatial-spectral exploitation J Hu, M Zhao, Y Li Remote Sensing 11 (10), 1229, 2019 | 21 | 2019 |
| Trainable spectral difference learning with spatial starting for hyperspectral image denoising W Xie, Y Li, J Hu, DY Chen Neural Networks 108, 272-286, 2018 | 21 | 2018 |
| Hyperspectral image super-resolution under the guidance of deep gradient information M Zhao, J Ning, J Hu, T Li Remote Sensing 13 (12), 2382, 2021 | 15 | 2021 |
| Salient target detection in hyperspectral image based on visual attention M Zhao, L Yue, J Hu, S Du, P Li, L Wang IET Image Processing 15 (10), 2301-2308, 2021 | 10 | 2021 |
| A spatial constraint and deep learning based hyperspectral image super-resolution method J Hu, Y Li, X Zhao, W Xie 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 9 | 2017 |
| Spatial-spectral extraction for hyperspectral anomaly detection J Hu, Y Zhang, M Zhao, P Li IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 7 | 2021 |
| Hyperspectral image superresolution via deep structure and texture interfusion J Hu, T Li, M Zhao, J Ning IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 7 | 2021 |
| Fast mode decision and PU size decision algorithm for intra depth coding in 3D-HEVC G He, J Hu, Y Li, W Yu, Z Yang, P Liu, R Guo Journal of Visual Communication and Image Representation 49, 303-314, 2017 | 6 | 2017 |
| A two‐stage method for single image de‐raining based on attention smoothed dilated network S Du, H Fan, M Zhao, H Zong, J Hu, P Li IET Image Processing 16 (10), 2557-2567, 2022 | 5 | 2022 |
| Attention-driven dual feature guidance for hyperspectral super-resolution M Zhao, J Ning, J Hu, T Li IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023 | 4 | 2023 |
| Fast algorithm based on the sole-and multi-depth texture measurements for HEVC intra coding J Hu, G He, Y Li Journal of Visual Communication and Image Representation 40, 671-681, 2016 | 4 | 2016 |
| A gated content-oriented residual dense network for hyperspectral image super-resolution J Hu, T Li, M Zhao, F Wang, J Ning Remote Sensing 15 (13), 3378, 2023 | 2 | 2023 |
| Hyperspectral anomaly detection based on background purification and spectral feature extraction M Zhao, W Zheng, J Hu International Conference on Optical and Photonic Engineering (icOPEN 2023 …, 2024 | 1 | 2024 |
| Deep Intra Fusion for Hyperspectral Image Super-Resolution J Hu, H Chen, M Zhao, Y Li IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 1 | 2020 |
| Deep spatial-spectral information exploitation for rapid hyperspectral image super-resolution J Hu, Y Li, M Zhao, Y Zhang IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 1 | 2019 |
| Fewer interpretable bands via self-supervision for hyperspectral anomaly detection R Wang, J Hu Neurocomputing 616, 128964, 2025 | | 2025 |
