| Synchronization of chaotic systems and their machine-learning models T Weng, H Yang, C Gu, J Zhang, M Small Physical Review E 99 (4), 042203, 2019 | 128 | 2019 |
| Visibility graph based time series analysis M Stephen, C Gu, H Yang PloS one 10 (11), e0143015, 2015 | 113 | 2015 |
| Onset of cooperation between layered networks CG Gu, SR Zou, XL Xu, YQ Qu, YM Jiang, DR He, HK Liu, T Zhou Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (2 …, 2011 | 102 | 2011 |
| Lack of exercise leads to significant and reversible loss of scale invariance in both aged and young mice C Gu, CP Coomans, K Hu, FAJL Scheer, HE Stanley, JH Meijer Proceedings of the National Academy of Sciences 112 (8), 2320-2324, 2015 | 69 | 2015 |
| Suppression of epidemic spreading in time-varying multiplex networks H Yang, C Gu, M Tang, SM Cai, YC Lai Applied Mathematical Modelling 75, 806-818, 2019 | 56 | 2019 |
| Free-running period of neurons in the suprachiasmatic nucleus: Its dependence on the distribution of neuronal coupling strengths C Gu, J Wang, Z Liu Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 80 (3 …, 2009 | 49 | 2009 |
| The Proportion of Light-Responsive Neurons Determines the Limit Cycle Properties of the Suprachiasmatic Nucleus C Gu, A Ramkisoensing, Z Liu, JH Meijer, JHT Rohling J Biol Rhythms 29, 16-27, 2014 | 45 | 2014 |
| Visibility graphlet approach to chaotic time series S Mutua, C Gu, H Yang Chaos: An Interdisciplinary Journal of Nonlinear Science 26 (5), 2016 | 43 | 2016 |
| Photic desynchronization of two subgroups of circadian oscillators in a network model of the suprachiasmatic nucleus with dispersed coupling strengths C Gu, Z Liu, WJ Schwartz, P Indic PLoS One 7 (5), e36900, 2012 | 37 | 2012 |
| Impact of dispersed coupling strength on the free running periods of circadian rhythms C Gu, JHT Rohling, X Liang, H Yang Physical Review E 93 (3), 032414, 2016 | 35 | 2016 |
| Entrainment range of nonidentical circadian oscillators by a light-dark cycle C Gu, J Xu, Z Liu, JHT Rohling Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 88 (2 …, 2013 | 35 | 2013 |
| Entrainment of the suprachiasmatic nucleus network by a light-dark cycle J Xu, C Gu, A Pumir, N Garnier, Z Liu Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 86 (4 …, 2012 | 34 | 2012 |
| A model of spreading of sudden events on social networks J Wu, M Zheng, ZK Zhang, W Wang, C Gu, Z Liu Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (3), 2018 | 32 | 2018 |
| Enhanced Phase Resetting in the Synchronized Suprachiasmatic Nucleus Network A Ramkisoensing, C Gu, HMD van Engeldorp Gastelaars, S Michel, ... J Biol Rhythms 29, 4, 2014 | 32 | 2014 |
| Mechanism of phase splitting in two coupled groups of suprachiasmatic-nucleus neurons C Gu, J Wang, J Wang, Z Liu Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 83 (4 …, 2011 | 31 | 2011 |
| Mapping topological characteristics of dynamical systems into neural networks: A reservoir computing approach X Chen, T Weng, H Yang, C Gu, J Zhang, M Small Physical Review E 102 (3), 033314, 2020 | 28 | 2020 |
| Heterogeneity induces rhythms of weakly coupled circadian neurons C Gu, X Liang, H Yang, JHT Rohling Scientific reports 6 (1), 21412, 2016 | 27 | 2016 |
| Visibility graph analysis of Bitcoin price series K Liu, T Weng, C Gu, H Yang Physica A: Statistical Mechanics and its Applications 538, 122952, 2020 | 25 | 2020 |
| Long-Range Correlations in Sentence Series from A Story of the Stone T Yang, C Gu, H Yang Plos One 11 (9), e0162423, 2016 | 25 | 2016 |
| The synchronization of neuronal oscillators determined by the directed network structure of the suprachiasmatic nucleus under different photoperiods C Gu, M Tang, H Yang Scientific Reports 6 (1), 28878, 2016 | 25 | 2016 |
Ming TangSchool of Information Science and Technology, East China Normal University在 ce.ecnu.edu.cn 的电子邮件经过验证