| Stability analysis of delayed cellular neural networks J Cao, D Zhou Neural networks 11 (9), 1601-1605, 1998 | 387 | 1998 |
| A survey of infrared and visual image fusion methods X Jin, Q Jiang, S Yao, D Zhou, R Nie, J Hai, K He Infrared Physics & Technology 85, 478-501, 2017 | 291 | 2017 |
| VIF-Net: An unsupervised framework for infrared and visible image fusion R Hou, D Zhou, R Nie, D Liu, L Xiong, Y Guo, C Yu IEEE Transactions on Computational Imaging 6, 640-651, 2020 | 204 | 2020 |
| FuseGAN: Learning to fuse multi-focus image via conditional generative adversarial network X Guo, R Nie, J Cao, D Zhou, L Mei, K He IEEE Transactions on Multimedia 21 (8), 1982-1996, 2019 | 196 | 2019 |
| Globally exponential stability conditions for cellular neural networks with time-varying delays D Zhou, J Cao Applied Mathematics and Computation 131 (2-3), 487-496, 2002 | 184 | 2002 |
| Global asymptotic stability to a generalized Cohen–Grossberg BAM neural networks of neutral type delays Z Zhang, W Liu, D Zhou Neural networks 25, 94-105, 2012 | 115 | 2012 |
| Brain CT and MRI medical image fusion using convolutional neural networks and a dual-channel spiking cortical model R Hou, D Zhou, R Nie, D Liu, X Ruan Medical & biological engineering & computing 57, 887-900, 2019 | 107 | 2019 |
| LightingNet: An integrated learning method for low-light image enhancement S Yang, D Zhou, J Cao, Y Guo IEEE Transactions on Computational Imaging 9, 29-42, 2023 | 96 | 2023 |
| DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction Y Guo, W Li, B Wang, H Liu, D Zhou BMC bioinformatics 20, 1-12, 2019 | 95 | 2019 |
| Context-aware poly (a) signal prediction model via deep spatial–temporal neural networks Y Guo, D Zhou, P Li, C Li, J Cao IEEE Transactions on Neural Networks and Learning Systems, 2022 | 87 | 2022 |
| Fully convolutional network-based multifocus image fusion X Guo, R Nie, J Cao, D Zhou, W Qian Neural computation 30 (7), 1775-1800, 2018 | 86 | 2018 |
| Infrared and visual image fusion method based on discrete cosine transform and local spatial frequency in discrete stationary wavelet transform domain X Jin, Q Jiang, S Yao, D Zhou, R Nie, SJ Lee, K He Infrared Physics & Technology 88, 1-12, 2018 | 84 | 2018 |
| Multimodal sensor medical image fusion based on nonsubsampled shearlet transform and S-PCNNs in HSV space X Jin, G Chen, J Hou, Q Jiang, D Zhou, S Yao Signal Processing 153, 379-395, 2018 | 83 | 2018 |
| Rethinking low-light enhancement via transformer-GAN S Yang, D Zhou, J Cao, Y Guo IEEE Signal Processing Letters 29, 1082-1086, 2022 | 82 | 2022 |
| Novel LMI-based condition on global asymptotic stability for a class of Cohen–Grossberg BAM networks with extended activation functions Z Zhang, J Cao, D Zhou IEEE Transactions on Neural Networks and Learning Systems 25 (6), 1161-1172, 2013 | 59 | 2013 |
| Multifocus color image fusion based on NSST and PCNN X Jin, R Nie, D Zhou, Q Wang, K He Journal of Sensors 2016 (1), 8359602, 2016 | 58 | 2016 |
| Multi-source information exchange encoding with PCNN for medical image fusion R Nie, J Cao, D Zhou, W Qian IEEE Transactions on Circuits and Systems for Video Technology 31 (3), 986-1000, 2020 | 52 | 2020 |
| Multi-focus image fusion using u-shaped networks with a hybrid objective H Li, R Nie, J Cao, X Guo, D Zhou, K He IEEE Sensors Journal 19 (21), 9755-9765, 2019 | 49 | 2019 |
| Infrared and visible image fusion based on target extraction in the nonsubsampled contourlet transform domain K He, D Zhou, X Zhang, R Nie, Q Wang, X Jin Journal of Applied Remote Sensing 11 (1), 015011-015011, 2017 | 49 | 2017 |
| UFA-FUSE: A novel deep supervised and hybrid model for multifocus image fusion Y Zang, D Zhou, C Wang, R Nie, Y Guo IEEE Transactions on Instrumentation and Measurement 70, 1-17, 2021 | 45 | 2021 |
