| Infrared and visible image fusion methods and applications: A survey J Ma, Y Ma, C Li Information Fusion 45, 153-178, 2019 | 882 | 2019 |
| 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 | 799 | 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 | 722 | 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 14 (1), 382-393, 2023 | 142 | 2023 |
| 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 | 125 | 2020 |
| 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 | 123 | 2018 |
| 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 | 122 | 2017 |
| 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 | 109 | 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 | 94 | 2021 |
| 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 | 93 | 2021 |
| 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 | 89 | 2016 |
| 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 | 74 | 2015 |
| 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 | 66 | 2016 |
| 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 | 63 | 2020 |
| 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 | 61 | 2021 |
| 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 | 52 | 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 | 44 | 2020 |
| Hyperspectral unmixing with robust collaborative sparse regression C Li, Y Ma, X Mei, C Liu, J Ma Remote Sensing 8 (7), 588, 2016 | 39 | 2016 |
| Multigrained attention network for infrared and visible image fusion J Li, H Huo, C Li, R Wang, C Sui, Z Liu IEEE Transactions on Instrumentation and Measurement 70, 5002412, 2021 | 37 | 2021 |
| 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 | 37 | 2018 |
Xun Chen, PhDProfessor, University of Science & Technology of China在 ustc.edu.cn 的电子邮件经过验证
