Cai Q - Search Results

1

Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph.

Gao ZK, Guo W, Cai Q, Ma C, Zhang YB, Kurths J. Gao ZK, et al. Among authors: cai q. Chaos. 2019 Jul;29(7):073119. doi: 10.1063/1.5108606. Chaos. 2019. PMID: 31370406

2

Complex network analysis of phase dynamics underlying oil-water two-phase flows.

Gao ZK, Zhang SS, Cai Q, Yang YX, Jin ND. Gao ZK, et al. Among authors: cai q. Sci Rep. 2016 Jun 16;6:28151. doi: 10.1038/srep28151. Sci Rep. 2016. PMID: 27306101 Free PMC article.

3

Multivariate weighted recurrence network inference for uncovering oil-water transitional flow behavior in a vertical pipe.

Gao ZK, Yang YX, Cai Q, Zhang SS, Jin ND. Gao ZK, et al. Among authors: cai q. Chaos. 2016 Jun;26(6):063117. doi: 10.1063/1.4954271. Chaos. 2016. PMID: 27368782

4

Multiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series.

Gao ZK, Cai Q, Yang YX, Dang WD, Zhang SS. Gao ZK, et al. Among authors: cai q. Sci Rep. 2016 Oct 19;6:35622. doi: 10.1038/srep35622. Sci Rep. 2016. PMID: 27759088 Free PMC article.

5

Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG.

Gao ZK, Cai Q, Yang YX, Dong N, Zhang SS. Gao ZK, et al. Among authors: cai q. Int J Neural Syst. 2017 Jun;27(4):1750005. doi: 10.1142/S0129065717500058. Epub 2016 Sep 13. Int J Neural Syst. 2017. PMID: 27832712

6

Multiplex multivariate recurrence network from multi-channel signals for revealing oil-water spatial flow behavior.

Gao ZK, Dang WD, Yang YX, Cai Q. Gao ZK, et al. Among authors: cai q. Chaos. 2017 Mar;27(3):035809. doi: 10.1063/1.4977950. Chaos. 2017. PMID: 28364741

7

Multivariate weighted recurrence network analysis of EEG signals from ERP-based smart home system.

Gao ZK, Liu CY, Yang YX, Cai Q, Dang WD, Du XL, Jia HX. Gao ZK, et al. Among authors: cai q. Chaos. 2018 Aug;28(8):085713. doi: 10.1063/1.5018824. Chaos. 2018. PMID: 30180616

8

EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation.

Gao Z, Wang X, Yang Y, Mu C, Cai Q, Dang W, Zuo S. Gao Z, et al. Among authors: cai q. IEEE Trans Neural Netw Learn Syst. 2019 Sep;30(9):2755-2763. doi: 10.1109/TNNLS.2018.2886414. Epub 2019 Jan 10. IEEE Trans Neural Netw Learn Syst. 2019. PMID: 30640634

9

Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection.

Cai Q, Gao ZK, Yang YX, Dang WD, Grebogi C. Cai Q, et al. Int J Neural Syst. 2019 Jun;29(5):1850057. doi: 10.1142/S0129065718500570. Epub 2018 Dec 9. Int J Neural Syst. 2019. PMID: 30776986

10

Disrupted Time-Dependent and Functional Connectivity Brain Network in Alzheimer's Disease: A Resting-State fMRI Study Based on Visibility Graph.

Gao Z, Feng Y, Ma C, Ma K, Cai Q; Alzheimer’s DiseaseNeuroimaging Initiative. Gao Z, et al. Among authors: cai q. Curr Alzheimer Res. 2020;17(1):69-79. doi: 10.2174/1567205017666200213100607. Curr Alzheimer Res. 2020. PMID: 32053076

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