| EEG-based spatio–temporal convolutional neural network for driver fatigue evaluation Z Gao, X Wang, Y Yang, C Mu, Q Cai, W Dang, S Zuo IEEE transactions on neural networks and learning systems 30 (9), 2755-2763, 2019 | 407 | 2019 |
| Multiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series ZK Gao, Q Cai, YX Yang, WD Dang, SS Zhang Scientific reports 6 (1), 35622, 2016 | 188 | 2016 |
| Complex networks and deep learning for EEG signal analysis Z Gao, W Dang, X Wang, X Hong, L Hou, K Ma, M Perc Cognitive Neurodynamics 15 (3), 369-388, 2021 | 176 | 2021 |
| Relative wavelet entropy complex network for improving EEG-based fatigue driving classification Z Gao, S Li, Q Cai, W Dang, Y Yang, C Mu, P Hui IEEE Transactions on Instrumentation and Measurement 68 (7), 2491-2497, 2018 | 85 | 2018 |
| A novel multiplex network-based sensor information fusion model and its application to industrial multiphase flow system Z Gao, W Dang, C Mu, Y Yang, S Li, C Grebogi IEEE Transactions on Industrial Informatics 14 (9), 3982-3988, 2017 | 77 | 2017 |
| Wavelet multiresolution complex network for analyzing multivariate nonlinear time series ZK Gao, S Li, WD Dang, YX Yang, Y Do, C Grebogi International Journal of Bifurcation and Chaos 27 (08), 1750123, 2017 | 70 | 2017 |
| Classification of EEG signals on VEP-based BCI systems with broad learning Z Gao, W Dang, M Liu, W Guo, K Ma, G Chen IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (11), 7143-7151, 2020 | 63 | 2020 |
| An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system Z Gao, K Zhang, W Dang, Y Yang, Z Wang, H Duan, G Chen Knowledge-Based Systems 152, 163-171, 2018 | 61 | 2018 |
| Multiplex limited penetrable horizontal visibility graph from EEG signals for driver fatigue detection Q Cai, ZK Gao, YX Yang, WD Dang, C Grebogi International journal of neural systems 29 (05), 1850057, 2019 | 55 | 2019 |
| A novel deep learning framework for industrial multiphase flow characterization W Dang, Z Gao, L Hou, D Lv, S Qiu, G Chen IEEE Transactions on Industrial Informatics 15 (11), 5954-5962, 2019 | 52 | 2019 |
| Multilayer network from multivariate time series for characterizing nonlinear flow behavior ZK Gao, SS Zhang, WD Dang, S Li, Q Cai International Journal of Bifurcation and Chaos 27 (04), 1750059, 2017 | 45 | 2017 |
| Multiplex multivariate recurrence network from multi-channel signals for revealing oil-water spatial flow behavior ZK Gao, WD Dang, YX Yang, Q Cai Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (3), 2017 | 33 | 2017 |
| Time-dependent limited penetrable visibility graph analysis of nonstationary time series ZK Gao, Q Cai, YX Yang, WD Dang Physica A: Statistical Mechanics and its Applications 476, 43-48, 2017 | 32 | 2017 |
| Multilayer brain network combined with deep convolutional neural network for detecting major depressive disorder W Dang, Z Gao, X Sun, R Li, Q Cai, C Grebogi Nonlinear Dynamics 102 (2), 667-677, 2020 | 28 | 2020 |
| Attention-based parallel multiscale convolutional neural network for visual evoked potentials EEG classification Z Gao, X Sun, M Liu, W Dang, C Ma, G Chen IEEE Journal of Biomedical and Health Informatics 25 (8), 2887-2894, 2021 | 26 | 2021 |
| Rhythm-dependent multilayer brain network for the detection of driving fatigue W Dang, Z Gao, D Lv, X Sun, C Cheng IEEE Journal of Biomedical and Health Informatics 25 (3), 693-700, 2020 | 26 | 2020 |
| Multitask-based temporal-channelwise CNN for parameter prediction of two-phase flows Z Gao, L Hou, W Dang, X Wang, X Hong, X Yang, G Chen IEEE Transactions on Industrial Informatics 17 (9), 6329-6336, 2020 | 25 | 2020 |
| A novel complex network-based deep learning method for characterizing gas–liquid two-phase flow ZK Gao, MX Liu, WD Dang, Q Cai Petroleum science 18, 259-268, 2021 | 24 | 2021 |
| Multivariate multiscale complex network analysis of vertical upward oil-water two-phase flow in a small diameter pipe ZK Gao, YX Yang, LS Zhai, WD Dang, JL Yu, ND Jin Scientific reports 6 (1), 20052, 2016 | 24 | 2016 |
| Studying multi-frequency multilayer brain network via deep learning for EEG-based epilepsy detection W Dang, D Lv, L Rui, Z Liu, G Chen, Z Gao IEEE sensors journal 21 (24), 27651-27658, 2021 | 21 | 2021 |
Zhong-Ke GaoProfessor, Tianjin University, China在 tju.edu.cn 的电子邮件经过验证
