| Deep learning in remote sensing applications: A meta-analysis and review L Ma, Y Liu, X Zhang, Y Ye, G Yin, B Johnson ISPRS Journal of Photogrammetry and Remote Sensing 152, 166-177, 2019 | 2105 | 2019 |
| A general framework for image fusion based on multi-scale transform and sparse representation Y Liu, S Liu, Z Wang Information Fusion 24, 147-164, 2015 | 1419 | 2015 |
| Multi-focus image fusion with a deep convolutional neural network Y Liu, X Chen, H Peng, Z Wang Information Fusion 36, 191-207, 2017 | 1276 | 2017 |
| IFCNN: A general image fusion framework based on convolutional neural network Y Zhang, Y Liu, P Sun, H Yan, X Zhao, L Zhang Information Fusion 54, 99-118, 2020 | 1122 | 2020 |
| Image fusion with convolutional sparse representation Y Liu, X Chen, RK Ward, ZJ Wang IEEE Signal Processing Letters 23 (12), 1882-1886, 2016 | 945 | 2016 |
| Deep learning for pixel-level image fusion: Recent advances and future prospects Y Liu, X Chen, Z Wang, ZJ Wang, RK Ward, X Wang Information Fusion 42, 158-173, 2018 | 715 | 2018 |
| Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain M Yin, X Liu, Y Liu, X Chen IEEE Transactions on Instrumentation and Measurement 68 (1), 49-64, 2019 | 588 | 2019 |
| Multi-focus image fusion with dense SIFT Y Liu, S Liu, Z Wang Information Fusion 23, 139-155, 2015 | 493 | 2015 |
| Infrared and visible image fusion with convolutional neural networks Y Liu, X Chen, J Cheng, H Peng, Z Wang International Journal of Wavelets, Multiresolution and Information …, 2018 | 445 | 2018 |
| A medical image fusion method based on convolutional neural networks Y Liu, X Chen, J Cheng, H Peng 2017 20th international conference on information fusion (Fusion), 1-7, 2017 | 440 | 2017 |
| 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 | 410 | 2023 |
| Simultaneous image fusion and denoising with adaptive sparse representation Y Liu, Z Wang IET Image Processing 9 (5), 347-357, 2015 | 386 | 2015 |
| Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI Z Zhu, X He, G Qi, Y Li, B Cong, Y Liu Information Fusion 91, 376-387, 2023 | 371 | 2023 |
| Medical Image Fusion via Convolutional Sparsity based Morphological Component Analysis Y Liu, X Chen, RK Ward, ZJ Wang IEEE Signal Processing Letters 26 (3), 485-489, 2019 | 295 | 2019 |
| 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 | 292 | 2020 |
| YDTR: Infrared and visible image fusion via Y-shape dynamic transformer W Tang, F He, Y Liu IEEE Transactions on Multimedia 25, 5413-5428, 2023 | 237 | 2023 |
| Video-based heart rate measurement: Recent advances and future prospects X Chen, J Cheng, R Song, Y Liu, R Ward, ZJ Wang IEEE Transactions on Instrumentation and Measurement 68 (10), 3600-3615, 2019 | 229 | 2019 |
| 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 | 225 | 2021 |
| MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer W Tang, F He, Y Liu, Y Duan IEEE Transactions on Image Processing 31, 5134-5149, 2022 | 222 | 2022 |
| 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 | 207 | 2021 |
Xun Chen, PhDProfessor, University of Science & Technology of ChinaVerified email at ustc.edu.cn
