activity
20092025
most citedComplex network approaches to nonlinear time series analysis

648 citations · 4.4k across the 22 of their papers we have counts for

collaborators

23 papers

physics.data-an2025★ 648 cited

Complex network approaches to nonlinear time series analysis

Yong Zou, Reik V. Donner, Norbert Marwan +2

In the last decade, there has been a growing body of literature addressing the utilization of complex network methods for the characterization of dynamical systems based on time se…

physics.soc-ph2019★ 16 cited

Learning epidemic threshold in complex networks by Convolutional Neural Network

Qi Ni, Jie Kang, Ming Tang +2

Deep learning has taken part in the competition since not long ago to learn and identify phase transitions in physical systems such as many body quantum systems, whose underlying l…

nlin.AO2019

Novel transition and Bellerophon state in coupled Stuart-Landau oscillators

Jiameng Zhang, Xue Li, Yong Zou +1

We study synchronization in a system of Stuart-Landau oscillators with frequency-weighted coupling. For three typical unimodal frequency distributions, namely, the Lorentzian, the…

nlin.CD2018★ 33 cited

Cross and joint ordinal partition transition networks for multivariate time series analysis

Heng Guo, Jiayang Zhang, Yong Zou +1

We propose to construct cross and joint ordinal pattern transition networks from multivariate time series for two coupled systems, where synchronizations are often present. In part…

nlin.AO2017★ 62 cited

Explosive oscillation death in coupled Stuart-Landau oscillators

Hongjie Bi, Xin Hu, Xiyun Zhang +3

Recently, the explosive phase transitions, such as explosive percolation and explosive synchronization, have attracted extensive research interest. So far, most existing works inve…

nlin.CD2016★ 16 cited

Disentangling regular and chaotic motion in the standard map using complex network analysis of recurrences in phase space

Yong Zou, Reik V. Donner, Marco Thiel +1

Recurrence in the phase space of complex systems is a well-studied phenomenon, which has provided deep insights into the nonlinear dynamics of such systems. For dissipative systems…