| Infrared and visible image fusion methods and applications: A survey J Ma, Y Ma, C Li Information Fusion 45, 153-178, 2019 | 702 | 2019 |
| Infrared and visible image fusion via gradient transfer and total variation minimization J Ma, C Chen, C Li, J Huang Information Fusion 31, 100-109, 2016 | 588 | 2016 |
| FusionGAN: A generative adversarial network for infrared and visible image fusion J Ma, W Yu, P Liang, C Li, J Jiang Information fusion 48, 11-26, 2019 | 583 | 2019 |
| Hyperspectral image denoising with superpixel segmentation and low-rank representation F Fan, Y Ma, C Li, X Mei, J Huang, J Ma Information Sciences 397, 48-68, 2017 | 108 | 2017 |
| Spatial–spectral total variation regularized low-rank tensor decomposition for hyperspectral image denoising H Fan, C Li, Y Guo, G Kuang, J Ma IEEE Transactions on Geoscience and Remote Sensing 56 (10), 6196-6213, 2018 | 93 | 2018 |
| Multi-focus image fusion: A survey of the state of the art Y Liu, L Wang, J Cheng, C Li, X Chen Information Fusion 64, 71-91, 2020 | 89 | 2020 |
| Hyperspectral image classification with robust sparse representation C Li, Y Ma, X Mei, C Liu, J Ma IEEE Geoscience and Remote Sensing Letters 13 (5), 641-645, 2016 | 88 | 2016 |
| EEG-based emotion recognition via channel-wise attention and self attention W Tao, C Li, R Song, J Cheng, Y Liu, F Wan, X Chen IEEE Transactions on Affective Computing, 2022 | 78 | 2022 |
| Hyperspectral image denoising using the robust low-rank tensor recovery C Li, Y Ma, J Huang, X Mei, J Ma JOSA A 32 (9), 1604-1612, 2015 | 70 | 2015 |
| Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network Y Liu, Y Ding, C Li, J Cheng, R Song, F Wan, X Chen Computers in Biology and Medicine 123, 103927, 2020 | 64 | 2020 |
| Emotion recognition from multi-channel eeg via deep forest J Cheng, M Chen, C Li, Y Liu, R Song, A Liu, X Chen IEEE Journal of Biomedical and Health Informatics 25 (2), 453-464, 2021 | 57 | 2021 |
| Robust Sparse Hyperspectral Unmixing With Norm Y Ma, C Li, X Mei, C Liu, J Ma IEEE Transactions on Geoscience and Remote Sensing 55 (3), 1227-1239, 2016 | 54 | 2016 |
| AttentionFGAN: Infrared and visible image fusion using attention-based generative adversarial networks J Li, H Huo, C Li, R Wang, Q Feng IEEE Transactions on Multimedia 23, 1383-1396, 2021 | 46 | 2021 |
| Heart rate estimation from facial videos using a spatiotemporal representation with convolutional neural networks R Song, S Zhang, C Li, Y Zhang, J Cheng, X Chen IEEE Transactions on Instrumentation and Measurement 69 (10), 7411-7421, 2020 | 45 | 2020 |
| New insights on super-high resolution for video-based heart rate estimation with a semi-blind source separation method R Song, S Zhang, J Cheng, C Li, X Chen Computers in biology and medicine 116, 103535, 2020 | 35 | 2020 |
| Urban area detection in very high resolution remote sensing images using deep convolutional neural networks T Tian, C Li, J Xu, J Ma Sensors 18 (3), 904, 2018 | 35 | 2018 |
| PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethysmography R Song, H Chen, J Cheng, C Li, Y Liu, X Chen IEEE Journal of Biomedical and Health Informatics 25 (5), 1373-1384, 2021 | 34 | 2021 |
| Hyperspectral unmixing with robust collaborative sparse regression C Li, Y Ma, X Mei, C Liu, J Ma Remote Sensing 8 (7), 588, 2016 | 34 | 2016 |
| Infrared and visible image fusion using dual discriminators generative adversarial networks with Wasserstein distance J Li, H Huo, K Liu, C Li Information Sciences 529, 28-41, 2020 | 33 | 2020 |
| GBM-based unmixing of hyperspectral data using bound projected optimal gradient method C Li, Y Ma, J Huang, X Mei, C Liu, J Ma IEEE Geoscience and Remote Sensing Letters 13 (7), 952-956, 2016 | 28 | 2016 |
Jiayi MaWuhan UniversityVerified email at whu.edu.cn
