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Mingrui Xia [4]Ming Xia [2]
  1.  47
    GRETNA: a graph theoretical network analysis toolbox for imaging connectomics.Jinhui Wang, Xindi Wang, Mingrui Xia, Xuhong Liao, Alan Evans & Yong He - 2015 - Frontiers in Human Neuroscience 9.
  2.  25
    Corrigendum: GRETNA: a graph theoretical network analysis toolbox for imaging connectomics.Jinhui Wang, Xindi Wang, Mingrui Xia, Xuhong Liao, Alan Evans & Yong He - 2015 - Frontiers in Human Neuroscience 9.
  3.  34
    Spontaneous functional network dynamics and associated structural substrates in the human brain.Xuhong Liao, Lin Yuan, Tengda Zhao, Zhengjia Dai, Ni Shu, Mingrui Xia, Yihong Yang, Alan Evans & Yong He - 2015 - Frontiers in Human Neuroscience 9.
  4. Da Lu Fu Tai Zhi Shi Fen Zi Yan Jiu: Yan Haiguang Xia Daoping Ji Nian Hui Lun Wen He Ji.Zhuo'en He, Binfeng Zhang & Ming Xia (eds.) - 2011 - Jiu Zhou Chu Ban She.
    本书收录了在纪念殷海光先生诞辰90周年学术研讨会上的致辞,胡秋原等对殷海光的迫害及后果,夏道平及其自由思想简介,夏道平经济自由思想的内涵等文章.
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  5.  22
    Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain.Mingrui Xia, Qixiang Lin, Yanchao Bi & Yong He - 2016 - Frontiers in Human Neuroscience 10.
  6.  1
    Symbiosis Evolution of Science Communication Ecosystem Based on Social Media: A Lotka–Volterra Model-Based Simulation.Ming Xia, Xiangwu He & Yubin Zhou - 2021 - Complexity 2021:1-12.
    Social media has become an important way for science communication. Some scholars have examined how to help scientists engage with social media from operational training, policy guidance, and social media services improving. The main contribution of this study is to construct a symbiosis evolution model of science communication ecosystem between scientists and social media platforms based on the symbiosis theory and the Lotka–Volterra model to discuss the evolution of their symbiotic patterns and population size under different symbiosis coefficients. The results (...)
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