| 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, 2019 | 393 | 2019 |
| Complex network analysis of time series ZK Gao, M Small, J Kurths EPL (Europhysics Letters) 116 (5), 50001, 2016 | 305 | 2016 |
| Complex network from time series based on phase space reconstruction Z Gao, N Jin Chaos: An Interdisciplinary Journal of Nonlinear Science 19 (3), 033137, 2009 | 225 | 2009 |
| Flow-pattern identification and nonlinear dynamics of gas-liquid two-phase flow in complex networks Z Gao, N Jin Physical Review E 79 (6), 066303, 2009 | 215 | 2009 |
| Multivariate weighted complex network analysis for characterizing nonlinear dynamic behavior in two-phase flow ZK Gao, PC Fang, MS Ding, ND Jin Experimental Thermal and Fluid Science 60, 157-164, 2015 | 193 | 2015 |
| Multiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series ZK Gao, Q Cai, YX Yang, WD Dang, SS Zhang Scientific Reports 6, 35622, 2016 | 184 | 2016 |
| Visibility Graph From Adaptive Optimal-Kernel Time-Frequency Representation for Classification of Epileptiform EEG ZK Gao, Q Cai, YX Yang, N Dong, SS Zhang International Journal of Neural Systems 27 (4), 1750005 (12 pages), 2017 | 173 | 2017 |
| 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, 1-20, 2020 | 167 | 2020 |
| A novel convolutional neural network framework based solar irradiance prediction method N Dong, JF Chang, AG Wu, ZK Gao International Journal of Electrical Power & Energy Systems 114, 105411, 2020 | 151 | 2020 |
| A directed weighted complex network for characterizing chaotic dynamics from time series ZK Gao, ND Jin Nonlinear Analysis: Real World Applications 13 (2), 947-952, 2012 | 150 | 2012 |
| A Channel-fused Dense Convolutional Network for EEG-based Emotion Recognition Z Gao, X Wang, Y Yang, Y Li, K Ma, G Chen IEEE Transactions on Cognitive and Developmental Systems, 2020 | 143 | 2020 |
| Flow pattern and water holdup measurements of vertical upward oil–water two-phase flow in small diameter pipes M Du, ND Jin, ZK Gao, ZY Wang, LS Zhai International Journal of Multiphase Flow 41, 91-105, 2012 | 139 | 2012 |
| Multiscale complex network for analyzing experimental multivariate time series ZK Gao, YX Yang, PC Fang, Y Zou, CY Xia, M Du EPL (Europhysics Letters) 109 (3), 30005, 2015 | 134 | 2015 |
| Multi-frequency complex network from time series for uncovering oil-water flow structure ZK Gao, YX Yang, PC Fang, ND Jin, CY Xia, LD Hu Scientific reports 5, 8222, 2015 | 131 | 2015 |
| Limited penetrable visibility graph for establishing complex network from time series Z Ting-Ting, J Ning-De, G Zhong-Ke, L Yue-Bin | 113 | 2012 |
| A four-sector conductance method for measuring and characterizing low-velocity oil-water two-phase flows Z Gao, Y Yang, L Zhai, N Jin, G Chen IEEE Transactions on Instrumentation and Measurement 65 (7), 1690-1697, 2016 | 94 | 2016 |
| Recurrence networks from multivariate signals for uncovering dynamic transitions of horizontal oil-water stratified flows ZK Gao, XW Zhang, ND Jin, RV Donner, N Marwan, J Kurths EPL (Europhysics Letters) 103 (5), 50004, 2013 | 93 | 2013 |
| Motif distributions in phase-space networks for characterizing experimental two-phase flow patterns with chaotic features ZK Gao, ND Jin, WX Wang, YC Lai Physical Review E 82 (1), 016210, 2010 | 88 | 2010 |
| A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals Y Yang, Z Gao, Y Li, Q Cai, N Marwan, J Kurths IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019 | 85 | 2019 |
| 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, 1-7, 2018 | 84 | 2018 |
Jürgen KurthsProfessor of Physics, Humboldt University BerlinVerified email at pik-potsdam.de