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Zonghua Liu

Showing results (21-30 of 180) with videos related to

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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|November 13, 2009
Free-running period of neurons in the suprachiasmatic nucleus: Its dependence on the distribution of neuronal coupling strengthsChanggui Gu, Jianxiong Wang, Zonghua Liu
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Enhancing weak signal transmission through a feedforward networkXiaoming Liang, Liang Zhao, Zonghua Liu
Scientific Reports|May 16, 2018
A paradox of epidemics between the state and parameter spacesHengcong Liu, Muhua Zheng, Zonghua Liu
Chaos (Woodbury, N.Y.)|January 3, 2015
A unified framework of mutual influence between two pathogens in multiplex networksYanping Zhao, Muhua Zheng, Zonghua Liu
Scientific Reports|May 20, 2017
Dynamics of oscillators globally coupled via two mean fieldsXiyun Zhang, Arkady Pikovsky, Zonghua Liu
Chaos (Woodbury, N.Y.)|January 5, 2011
Influence of zero range process interaction on diffusionMing Tang, Zonghua Liu, Baowen Li
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|November 13, 2009
Weak signal transmission in complex networks and its application in detecting connectivityXiaoming Liang, Zonghua Liu, Baowen Li
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 5, 2009
Influence of dynamical condensation on epidemic spreading in scale-free networksMing Tang, Li Liu, Zonghua Liu
Chaos (Woodbury, N.Y.)|October 5, 2013
An efficient approach to suppress the negative role of contrarian oscillators in synchronizationXiyun Zhang, Zhongyuan Ruan, Zonghua Liu
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 4, 2012
Epidemic spreading with information-driven vaccinationZhongyuan Ruan, Ming Tang, Zonghua Liu
Pageof 18

Showing results (21-30 of 180) with videos related to

Sort By:
Pageof 18
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|November 13, 2009
Free-running period of neurons in the suprachiasmatic nucleus: Its dependence on the distribution of neuronal coupling strengthsChanggui Gu, Jianxiong Wang, Zonghua Liu
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Enhancing weak signal transmission through a feedforward networkXiaoming Liang, Liang Zhao, Zonghua Liu
Scientific Reports|May 16, 2018
A paradox of epidemics between the state and parameter spacesHengcong Liu, Muhua Zheng, Zonghua Liu
Chaos (Woodbury, N.Y.)|January 3, 2015
A unified framework of mutual influence between two pathogens in multiplex networksYanping Zhao, Muhua Zheng, Zonghua Liu
Scientific Reports|May 20, 2017
Dynamics of oscillators globally coupled via two mean fieldsXiyun Zhang, Arkady Pikovsky, Zonghua Liu
Chaos (Woodbury, N.Y.)|January 5, 2011
Influence of zero range process interaction on diffusionMing Tang, Zonghua Liu, Baowen Li
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|November 13, 2009
Weak signal transmission in complex networks and its application in detecting connectivityXiaoming Liang, Zonghua Liu, Baowen Li
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 5, 2009
Influence of dynamical condensation on epidemic spreading in scale-free networksMing Tang, Li Liu, Zonghua Liu
Chaos (Woodbury, N.Y.)|October 5, 2013
An efficient approach to suppress the negative role of contrarian oscillators in synchronizationXiyun Zhang, Zhongyuan Ruan, Zonghua Liu
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 4, 2012
Epidemic spreading with information-driven vaccinationZhongyuan Ruan, Ming Tang, Zonghua Liu
Pageof 18