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   中文版         Wen-Xu Wang's Group (王文旭)

Director of the Center for Complexity Science

Professor in School of Systems Science, Beijing Normal University, Beijing, China, 100875

Office: Sci. & Tech. Building B517, Bejing Normal University

Visiting Professor in School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287, USA

E-mail: wenxuwang(at)bnu(dot)edu(dot)cn; wenxuw(at)gmail(dot)com

Phone: (86)-10-58807084; (86)-18611812579

Research Interests

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Members

Awards

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Biography

  Wen-Xu Wang received B.S. and Ph.D. degrees in theoretical physics from University of Science and Technology of China in 2002 and 2007, respectively. From 2007-2008 he was a post-doctoral fellow in the Department of Electrical Engineering at Hong Kong City University. From 2008-2010, he continued his post-doctoral research in the Department of Electrical Engineering at Arizona State University. From 2010-2011, he became an Asistant Research Professor at the School of Electrical Engineering. In 2012, he joined Beijing Normal Univerisity, School of Systems Science, as a full professor. Now he is the director of the center for complexity science.

  Wen-Xu Wang's research focus is on complex systems and nonlinear dynamics, mainly in the field of complex networks, biological physics, human behaviors and neural science. Recently, his group has developed a general framework to quantify the exact controllability of complex networks, and a general paradigm based on compressive sensing to reconstruct complex networks and nonlinear dynamics from extremely short time series. The researches have been published in Nat. Commun., PNAS, Phys. Rev. Lett., Phys. Rev. X, Phys. Rep. J. R. Soc. Interface, Sci. Rep., Phys. Rev. E and EPL, etc.. He has published over 120 papers in refereed journals. His current H-index is 35. He serves as the editoral board member of Sci. Rep., R. Soc. Open Science, and etc., and is also the referee of more than 30 research journals, including Nature Communications, Phys. Rev. Lett., J.Theo.Bio and IEEE Trans.Neural Networks, and etc.

Selected Publications

 

 

 

 

Last updated: Nov. 11, 2017