学术论文
(1) He Wang, Peiyin Chen, Meng Zhang, Jianbo Zhang, Xinlin Sun, Mengyu Li, Xiong Yang, Zhongke Gao, EEG-Based Motor Imagery Recognition Framework via Multisubject Dynamic Transfer and Iterative Self-Training, IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI: 10.1109/TNNLS.2023.3243339. (SCI, IF=14.255)
(2) Huazhen Chen, Jianpeng An, Bochang Jiang, Lili Xia, Yunhao Bai, Zhongke Gao, WS-MTST: Weakly Supervised Multi-Label Brain Tumor Segmentation With Transformers, IEEE Journal of Biomedical and Health Informatics, 2023, 27(12): 5914-5925. (SCI, IF=7.7)
(3) Lili Xia, Zhiyong Qu, Jianpeng An, Zhongke Gao, A Weakly Supervised Method With Colorization for Nuclei Segmentation Using Point Annotations, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-11. (SCI, IF=5.6)
(4) Jianbo Zhang, Chao Ma, Peiyin Chen, Mengyu Li, Ruiqi Wang, Zhongke Gao, Co-Attention-Based Cross-Stitch Network for Parameter Prediction of Two-Phase Flow, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-12. (SCI, IF=5.6)
(5) Chao Ma, Meng Zhang, Xinlin Sun, He Wang, Zhongke Gao, Dynamic Threshold Distribution Domain Adaptation Network: A Cross-Subject Fatigue Recognition Method Based on EEG Signals, IEEE Transactions on Cognitive and Developmental Systems, 2024, 16(1): 190-201. (SCI, IF=5)
(6) Dongmei Lv, Weidong Dang, Xinlin Sun, Zhongke Gao, EEG-Based Multi-Frequency Multilayer Network for Exploring the Brain State Evolution Underlying Motor Imagery, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023, 13(3): 712-719. (SCI, IF=4.6)
(7) Peiyin Chen, Zhongke Gao, Miaomiao Yin, Jialing Wu, Kai Ma, Celso Grebogi, Multiattention Adaptation Network for Motor Imagery Recognition, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(8): 5127-5139. (SCI, IF=11.471)
(8) Zhongke Gao, Linhua Hou, Weidong Dang, Xinmin Wang, Xiaolin Hong, Xiong Yang, Guanrong Chen, Multitask-based temporal-channel wise CNN for parameter prediction of two-phase flows, IEEE Transactions on Industrial Informatics, 2021, 17(9):6329-6336. (SCI, IF=11.648)
(9) Zhongke Gao, Weidong Dang, Mingxu Liu, Wei Guo, Kai Ma, Guanrong Chen, Classification of EEG signals on VEP-based BCI systems with broad learning, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(11): 7143-7151. (SCI, IF=11.471)
(10) Zhongke Gao, Mingxu Liu, Weidong Dang, Chao Ma, Linhua Hou, Xiaolin Hong, Multilayer Limited Penetrable Visibility Graph for Characterizing the Gas-Liquid Flow Behavior, Chemical Engineering Journal, 2021, 407:127229. (SCI, IF=16.744)
(11) Yuxuan Yang, Zhongke Gao, Yanli Li, Qing Cai, Norbert Marwan, Juergen Kurths, A complex network-based broad learning system for detecting driver fatigue from EEG signals, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(9):5800-5808. (SCI, IF=11.471)
(12) Zhongke Gao, Yanli Li, Yuxuan Yang, Na Dong, Xiong Yang, and Celso Grebogi, A coincidence filtering-based approach for CNNs in EEG-based recognition, IEEE Transactions on Industrial Informatics, 2020, 16(11):7159-7167. (SCI, IF=11.648)
(13) Zhongke Gao, Xinming Wang, Yuxuan Yang, Chaoxu Mu, Qing Cai, Weidong Dang, Siyang Zuo, EEG-based spatio-temporal convolutional neural network for driver fatigue evaluation, IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(9): 2755-2763. (SCI, IF= 14.255)
(14) Weidong Dang, Zhongke Gao, Linhua Hou, Dongmei Lv, Shuming Qiu, and Guanrong Chen, A novel deep learning framework for industrial multiphase flow characterization, IEEE Transactions on Industrial Informatics, 2019,15(11): 5954-5962. (SCI, IF=11.648)
(15) Zhongke Gao, Weidong Dang, Chaoxu Mu, Yuxuan Yang, Shan Li, Celso Grebogi, A novel multiplex network-based sensor information fusion model and its application to industrial multiphase flow system, IEEE Transactions on Industrial Informatics, 2018, 14(9): 3982-3988. (SCI, IF=11.648)
(16) Zhongke Gao, Xinlin Sun, Mingxu Liu, Weidong Dang, Chao Ma, Guanrong Chen, Attention-based Parallel Multiscale Convolutional Neural Network for Visual Evoked Potentials EEG Classification, IEEE Journal of Biomedical and Health Informatics, 2021, 25(8):2887-2894. (SCI, IF= 7.021)
(17) Weidong Dang, Zhongke Gao, Dongmei Lv, Xinlin Sun, Chichao Cheng, Rhythm-dependent multilayer brain network for the detection of driving fatigue, IEEE Journal of Biomedical and Health Informatics, 2021, 25(3): 693-700. (SCI, IF=7.021)
(18) Weixin Niu, Chao Ma, Xinlin Sun, Mengyu Li, Zhongke Gao, A Brain Network Analysis-Based Double Way Deep Neural Network for Emotion Recognition, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31: 917-925. (SCI, IF=4.528)
(19) Biao Sun, Beida Song, Jiajun Lv, Peiyin Chen, Xinlin Sun, Chao Ma, Zhongke Gao, A Multi-Scale Feature Extraction Network Based on Channel-Spatial Attention for Electromyographic Signal Classification, IEEE Transactions on Cognitive and Developmental Systems, 2023, DOI: 10.1109/TCDS.2022.3167042. (SCI, IF=4.546)
(20) Xiong Yang, Yingjiang Zhou, Zhongke Gao, Reinforcement learning for robust stabilization of nonlinear systems with asymmetric saturating actuators, Neural Networks, 2023, 158:132-141. (SCI, IF=9.657)
(21) Xinlin Sun, Chao Ma, Peiyin Chen, Mengyu Li, He Wang, Weidong Dang, Chaoxu Mu, Zhongke Gao, A Novel Complex Network-Based Graph Convolutional Network in Major Depressive Disorder Detection, IEEE Transactions on Instrumentation and Measurement, 2022, 71:1-8. (SCI, IF=5.332)
(22) Peiyin Chen, He Wang, Xinlin Sun, Haoyu Li, Celso Grebogi, Zhongke Gao, Transfer Learning With Optimal Transportation and Frequency Mixup for EEG-Based Motor Imagery Recognition, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30:2866-2875. (SCI, IF=4.528)
(23) Zhongke Gao, Yangyang Wang, Xinlin Sun, Peiyin Chen, Chao Ma, A Multifeatured Time–Frequency Neural Network System for Classifying sEMG, IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69(11):4588-4592. (SCI, IF=3.691)
(24) Mengyu Li, Chao Ma, Weidong Dang, Ruiqi Wang, Yong Liu, Zhongke Gao, DSCNN: Dilated Shuffle CNN Model for SSVEP Signal Classification, IEEE Sensors Journal, 2022, 22(12):12036–12043. (SCI, IF=4.325)
(25) Xiong Yang, Zhigang Zeng, Zhongke Gao, Decentralized Neurocontroller Design With Critic Learning for Nonlinear-Interconnected Systems, IEEE Transactions on Cybernetics, 2022, 52(11): 11672-11685. (SCI, IF= 19.118)
(26) Weidong Dang, Mengyu Li, Dongmei Lv, Xinlin Sun, Zhongke Gao, MHLCNN: Multi-harmonic linkage CNN model for SSVEP and SSMVEP signal classification, IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69(1): 244-248. (SCI, IF=3.691)
(27) Zhongke Gao, Zhiyong Qu, Qing Cai, Linhua Hou, Mingxu Liu, Tao Yuan, A Deep Branch-Aggregation Network for Recognition of Gas-Liquid Two-Phase Flow Structure, IEEE Transactions on Instrumentation and Measurement, 2021, 70:5000408. (SCI, IF=5.332)
(28) Zhongke Gao, Rumei Li, Chao Ma, Linge Rui, Xinlin Sun, Core-Brain-Network-Based Multilayer Convolutional Neural Network for Emotion Recognition, IEEE Transactions on Instrumentation and Measurement, 2021, 70:2510209. (SCI, IF= 5.332)
(29) Xiaolin Hong, Qingqing Zheng, Luyan Liu, Peiyin Chen, Kai Ma, Zhongke Gao, Yefeng Zheng, Dynamic Joint Domain Adaptation Network for Motor Imagery Classification, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29:556-565. (SCI, IF=4.528)
(30) Weidong Dang, Dongmei Lv, Linge Rui, Ziang Liu, Guanrong Chen, Zhongke Gao, Studying Multi-Frequency Multilayer Brain Network via Deep Learning for EEG-Based Epilepsy Detection, IEEE Sensors Journal, 2021, 21(24): 27651-27658. (SCI, IF=4.325)
(31) Zhongke Gao, Mengyu Li, Linhua Hou, Hao Deng, Wenda Xu, Weidong Dang, Guoliang Deng, Stage-wise Densely Connected Network for Parameter Measurement of Two-phase Flows, IEEE Sensors Journal, 2021, 21(16):18123-18131. (SCI, IF=4.325)
(32) Qing Cai, Zhongke Gao, Jianpeng An, Shuang Gao, Celso Grebogi, A Graph-Temporal fused dual-input Convolutional Neural Network for Detecting Sleep Stages from EEG Signals, IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, 68(2): 777-781. (SCI, IF=3.691)
(33) Zhongke Gao, Zhu Gong, Qing Cai, Chao Ma, Celso Grebogi, Complex Network Analysis of Experimental EEG Signals for Decoding Brain Cognitive State, IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, 68(1): 531-535. (SCI, IF=3.691)
(34) Zhongke Gao, Xinmin Wang, Yuxuan Yang, Yanli Li, Kai Ma, Guanrong Chen, A channel-fused dense convolutional network for EEG-based emotion recognition, IEEE Transactions on Cognitive and Developmental Systems, 2021, 13(4): 945-954. (SCI, IF=4.546)
(35) Zhongke Gao, Zhiyong Qu, Hongtao Wang, Chao Ma, Characterization of Two-Phase Flow Structure by Deep Learning-Based Super Resolution, IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, 68(2): 782-786. (SCI, IF=3.691)
(36) Jianpeng An, Qing Cai, Zhiyong Qu, Zhongke Gao, COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors, IEEE Journal of Biomedical and Health Informatics, 2021, 25(11): 4119-4127. (SCI, IF=7.021)
(37) He Wang, Xinshan Zhu, Pinyin Chen, Yuxuan Yang, Chao Ma, Zhongke Gao, A gradient-based automatic optimization CNN framework for EEG state recognition, Journal of Neural Engineering, 2021, 19(1):016009. (SCI, IF=5.043)
(38) Yuxuan Yang, Zhongke Gao, Yanli Li, He Wang, A CNN identified by reinforcement learning-based optimization framework for EEG-based state evaluation, Journal of Neural Engineering, 2021, 18(4): 1741-2552. (SCI, IF= 5.043)
(39) Zhongke Gao, Weidong Dang, Xinmin Wang, Xiaolin Hong, Linhua Hou, Kai Ma, Matjaz Perc, Complex networks and deep learning for EEG signal analysis, Cognitive Neurodynamics, 2021, 15(3):69-388 (SCI, IF=3.473)
(40) Zhongke Gao, Hongtao Wang, Weidong Dang, Yongqiang Li, Xiaolin Hong, Mingxu Liu, Guanrong Chen, Complex network analysis of wire-mesh sensor measurements for characterizing vertical gas-liquid two-phase flows, IEEE Transactions on Circuits and Systems II: Express Briefs, 2020, 67(6): 1134-1138. (SCI, IF= 3.691)
(41) Zhongke Gao, Xiaolin Hong, Weidong Dang, Linhua Hou, and Mingxu Liu, Multiresolution multiplex network for analyzing multichannel fluid flow signals, IEEE Transactions on Circuits and Systems II: Express Briefs, 2020, 67(10):2179-2183. (SCI, IF= 3.691)
(42) Zhongke Gao, Tao Yuan, Xinjun Zhou, Chao Ma, Kai Ma, Pan Hui, A Deep Learning Method for Improving the Classification Accuracy of SSMVEP-based BCI, IEEE Transactions on Circuits and Systems II: Express Briefs, 2020, 67 (12):3447-3451. (SCI, IF= 3.691)
(43) Runfeng Zhang, Shaoqiong Yang, Yanhui Wang, Shuxin Wang, Zhongke Gao, Chenyi Luo, Three-dimensional regional oceanic element field reconstruction with multiple underwater gliders in the Northern South China Sea, Applied Ocean Research, 2020, 105: 102405 (SCI, IF=3.761)
(44) Zhongke Gao, Ming-Xu Liu, Wei-Dong Dang, Qing Cai, A novel complex network-based deep learning method for characterizing gas-liquid two-phase flow, Petroleum Science (石油科学英文版), 2020, 18(1):259-268. (SCI, IF=4.757，中国科技期刊卓越行动计划-领军期刊)
(45) Chaoxu Mu, Yong Zhang, Zhongke Gao, Changyin Sun, ADP-based robust tracking control for a class of nonlinear systems with unmatched uncertainties, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50 (11):4056-4067. (SCI, IF=11.471)
(46) Na Dong, Jianfang Chang, Aiguo Wu, Zhongke Gao, A novel convolutional neural network framework based solar irradiance prediction method, International Journal of Electrical Power & Energy Systems, 2020, 114: 105411. (SCI, IF=5.659)
(47) Xiong Yang, Zhongke Gao, Jinhui Zhang, Event-driven H∞ control with critic learning for nonlinear systems, Neural Networks, 2020, 132:30-42. (SCI, IF=9.657)
(48) Zhongke Gao, Dongmei Lv, Weidong Dang, Mingxu Liu, Xiaolin Hong, Multilayer network from multiple entropies for characterizing gas-liquid nonlinear flow behavior, International Journal of Bifurcation and Chaos, 2020, 30(1):2050014. (SCI, IF=2.450)
(49) Weidong Dang, Zhongke Gao, Xinlin Sun, Rumei, Li, Qing Cai, Celso Grebogi, Multilayer brain network combined with deep convolutional neural network for detecting major depressive disorder, Nonlinear Dynamics, 2020, 102(2):667-677 (SCI, IF=5.741)
(50) Zhongke Gao, Shan Li, Qing Cai, Weidong Dang, Yuxuan Yang, Chaoxu Mu, Pan Hui, Relative wavelet entropy complex network for improving EEG-based fatigue driving classification, IEEE Transactions on Instrumentation and Measurement, 2019, 68(7): 2491-2497. (SCI, IF= 5.332)
(51) Qing Cai, Zhongke Gao, Yuxuan Yang, Weidong Dang, Celso Grebogi, Multiplex limited penetrable horizontal visibility graph from EEG signals for driver fatigue detection, International Journal of Neural Systems, 2019, 29(5):1850057. (SCI, IF=6.325)
(52) Yanhui Wang, Xinrui Shen, Shaoqiong Yang, Zhongke Gao, Three-dimensional dynamic analysis of observed mesoscale eddy in the South China Sea based on complex network theory, Europhysics Letters, 2019, 128:60005 (IF=1.947)
(53) Chaoxu Mu, Qian Zhao, Zhongke Gao, Changyin Sun, Q-learning solution for optimal consensus control of discrete-time multiagent systems using reinforcement learning, Journal of the Franklin Institute, 2019, 356(13):6946-6967. (SCI, IF=4.246)
(54) Zhongke Gao, Kaili Zhang, Weidong Dang, Yuxuan Yang, Zibo Wang, Haibin Duan, Guanrong Chen, An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system, Knowledge-Based Systems, 2018, 152: 163-171. (SCI, IF=8.139)
(55) Zhongke Gao, Shan Li, Wei-Dong Dang, Yu-Xuan Yang, Younghae Do, Celso Grebogi, Wavelet Multiresolution Complex Network for Analyzing Multivariate Nonlinear Time Series, International Journal of Bifurcation and Chaos, 2017, 27(8): 1750123. (SCI, IF=2.450)
(56) Zhongke Gao, Qing Cai, Yu-Xuan Yang, Na Dong, Shan-Shan Zhang, Visibility graph from adaptive optimal kernel time-frequency representation for classification of epileptiform EEG, International Journal of Neural Systems, 2017, 27(4):1750005. (SCI, IF=6.325)
(57) Zhongke Gao, Shanshan Zhang, Weidong Dang, Shan Li, Qing Cai, Multilayer network from multivariate time series for characterizing nonlinear flow behavior, International Journal of Bifurcation and Chaos, 2017, 27(4): 1750059 (SCI, IF=2.450)
(58) Zhongke Gao, Yuxuan Yang, Lusheng Zhai, Ningde Jin, Guanrong Chen, A four-sector conductance method for measuring and characterizing low-velocity oil-water two-phase flows, IEEE Transactions on Instrumentation and Measurement, 2016, 65(7): 1690-1697. (SCI, IF=5.332)
(59) Zhongke Gao, Michael Small, Jürgen Kurths, Complex network analysis of time series, Europhysics Letters, 2016, 116:50001 (IF=1.947)
(60) Zhongke Gao, Yuxuan Yang, Lusheng Zhai, Meishuang Ding, Ningde Jin, Characterizing slug to churn flow transition by using multivariate pseudo Wigner distribution and multivariate multiscale entropy, Chemical Engineering Journal, 2016, 291:74-81. (SCI, IF=16.744)
学术专著
(1) Zhong-Ke Gao, Ning-De Jin, Wen-Xu Wang,《Nonlinear Analysis of Gas-Water/ Oil-water Two-Phase Flow in Complex Networks》, Springer, Berlin, Germany, 2014, ISBN: 978-3-642-38372-4.
