| Fusing hyperspectral and multispectral images via coupled sparse tensor factorization S Li, R Dian*, L Fang, JM Bioucas-Dias IEEE TIP；code：https://github.com/renweidian/CSTF 27 (8), 4118-4130, 2018 | 507 | 2018 |
| Deep hyperspectral image sharpening R Dian, S Li, A Guo, L Fang IEEE TNNLS；code：https://github.com/renweidian/DHSIS 29 (11), 5345-5355, 2018 | 370 | 2018 |
| Learning a low tensor-train rank representation for hyperspectral image super-resolution R Dian, S Li, L Fang IEEE TNNLS；code：https://github.com/renweidian/LTTR 30 (9), 2672-2683, 2019 | 362 | 2019 |
| Hyperspectral image super-resolution via non-local sparse tensor factorization R Dian, L Fang, S Li IEEE CVPR；code：https://github.com/renweidian/NLSTF, 3862-3871, 2017 | 315 | 2017 |
| Regularizing hyperspectral and multispectral image fusion by CNN denoiser R Dian, S Li, X Kang IEEE TNNLS；code：https://github.com/renweidian/CNN-FUS 32 (3), 1124-1135, 2020 | 279 | 2020 |
| Hyperspectral image super-resolution via subspace-based low tensor multi-rank regularization R Dian, S Li IEEE TIP；code：https://github.com/renweidian/LTMR 28 (10), 5135-5146, 2019 | 250 | 2019 |
| Recent advances and new guidelines on hyperspectral and multispectral image fusion R Dian, S Li, B Sun, A Guo Information Fusion 69, 40-51, 2021 | 195 | 2021 |
| Nonlocal sparse tensor factorization for semiblind hyperspectral and multispectral image fusion R Dian, S Li, L Fang, T Lu, JM Bioucas-Dias IEEE TCYB；code：https://github.com/renweidian/NLSTF 50 (10), 4469-4480, 2019 | 162 | 2019 |
| Ntire 2022 spectral recovery challenge and data set B Arad, R Timofte, R Yahel, N Morag, A Bernat, Y Cai, J Lin, Z Lin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 142 | 2022 |
| Multispectral and hyperspectral image fusion with spatial-spectral sparse representation R Dian, S Li, L Fang, Q Wei Information Fusion 49, 262-270, 2019 | 128 | 2019 |
| Zero-Shot Hyperspectral Sharpening R Dian, A Guo, S Li IEEE TPAMI；code：https://github.com/renweidian/ZSL, 2023 | 67 | 2023 |
| SGFusion: A saliency guided deep-learning framework for pixel-level image fusion J Liu, R Dian, S Li, H Liu Information Fusion 91, 205-214, 2023 | 61 | 2023 |
| Spectral Super-Resolution via Model-Guided Cross-Fusion Network R Dian, T Shan, W He, H Liu IEEE TNNLS；code：https://github.com/renweidian/SSRnet-pytorch, 2023 | 47 | 2023 |
| A deep framework for hyperspectral image fusion between different satellites A Guo, R Dian, S Li IEEE TPAMI；code：https://github.com/codegaj/DFMF 45 (7), 7939-7954, 2022 | 41 | 2022 |
| Lraf-net: Long-range attention fusion network for visible–infrared object detection H Fu, S Wang, P Duan, C Xiao, R Dian, S Li, Z Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 40 | 2023 |
| Fsnet: Focus scanning network for camouflaged object detection Z Song, X Kang, X Wei, H Liu, R Dian, S Li IEEE Transactions on Image Processing 32, 2267-2278, 2023 | 40 | 2023 |
| Learning the external and internal priors for multispectral and hyperspectral image fusion S Li, R Dian*, H Liu Science China Information Sciences；code：https://github.com/renweidian/ExInL …, 2023 | 34 | 2023 |
| Hyperspectral image super-resolution via local low-rank and sparse representations R Dian, S Li, L Fang, J Bioucas-Dias IGARSS 2018；code：https://github.com/renweidian/LRSR, 4003-4006, 2018 | 33 | 2018 |
| Hyperspectral and multispectral image fusion via self-supervised loss and separable loss H Gao, S Li, R Dian IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 18 | 2022 |
| Spectral Super-Resolution via Deep Low-Rank Tensor Representation R Dian, Y Liu, S Li IEEE TNNLS；code：https://github.com/renweidian/LTRN, 2024 | 16 | 2024 |
Shutao Li (李树涛)College of Electrical and Information Engineering, Hunan University (湖南大学 电气与信息工程学院)Overená e-mailová adresa na: hnu.edu.cn
