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王新刚
2023-05-13 08:06
  • 王新刚
  • 王新刚 - 教授-陕西师范大学-物理学与信息技术学院-个人资料

近期热点

资料介绍

个人简历


XGW got his PhD degree from Beijing Normal University in 2002. His PhD thesis is about measure synchronization in coupled Hamiltonian systems, carried out at the Physics Department under the supervision of Prof. Gang Hu. After graduated, he joined the Temasek Laboratories at National University of Singapore as a research scientist, collaborating with Prof. Choy Heng Lai on topics of chaos-based secure communications and complex network analysis. In 2008, he moved back to China and joined the Physics Department at Zhejiang University as professor, working on fusion plasma theory. In 2013, he joined the Physics Department at Shaanxi Normal University. His current research interest is mainly focusing on the collective dynamical behaviors of coupled complex systems, including synchronization, pattern formation, complex networks, laser plasma, turbulence control, etc. He has published more than 80 papers in peer-reviewed journals, which, according to the record of Web of Science, have been cited about 1000 times. XGW is now a “Qujiang” Professor in Shaanxi Normal University. In 2014, he received the \

研究领域


Nonlinear Dynamics, Complex Networks, Computational Neuroscience,
Statistical Physics, Pattern Formation, Plasma Physics, Physics Education""

近期论文


[1] Xingang Wang*, “Synchronous Patterns in Complex Networks”, Scientia Sinica Physica, Mechanica & Astronomica (Accepted) (Review Paper) (Representative Paper in Complex Systems).
[2] Yafeng Wang, Liang Wang, Huawei Fan, and Xingang Wang*, “Cluster synchronization in networked nonidentical chaotic oscillators”, Chaos 29, 093118 (2019).
[3] Huawei Fan, Yafeng Wang, Kai Yang, and Xingang Wang*, “Enhancing network synchronizability by strengthening a single node”, Physical Review E 99, 042305 (2019).
[4] Jinfeng Wu, Xingang Wang*, and Bing Pan, “Agent-based simulations of China-inbound tourism network”, Scientific Reports 9:12325 (2019).
[5] Junjie Jiang, Xingang Wang, and Ying-Cheng Lai, “Optimizing biologically inspired transport networks by control”, Physical Review E 100, 0323309 (2019).
[6] Sansan Li, Xingang Wang*, and Shuguang Guan, \

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