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  1.  87
    Robust decentralized adaptive synchronization of general complex networks with coupling delayed and uncertainties.Ping He, Chun-Guo Jing, Tao Fan & Chang-Zhong Chen - 2014 - Complexity 19 (3):10-26.
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  2.  45
    Robust adaptive synchronization of uncertain complex networks with multiple time-varying coupled delays.Yin-Ping Zhao, Ping He, Hassan Saberi Nik & Junchao Ren - 2015 - Complexity 20 (6):62-73.
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  3.  32
    Guaranteed cost synchronization of complex networks with uncertainties and time-Varying delays.Ping He, Xue-Lin Wang & Yangmin Li - 2016 - Complexity 21 (6):381-395.
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  4.  27
    H∞ synchronization of coupled reaction-diffusion neural networks with mixed delays.Ping He & Yangmin Li - 2016 - Complexity 21 (S2):42-53.
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  5. On the phenomenon of “return to marx” in china.Ping He - 2007 - Frontiers of Philosophy in China 2 (2):219-229.
    From the point of view of the development of Chinese Marxist philosophy, this paper comprehensively analyzes the current phenomenon of “Return to Marx” by pointing out: (1) the phenomenon of “Return to Marx” meets the need to reconstruct ideology during the time of social change in China and it is a theoretical manifestation of the shift from planned economy to market economy in China; (2) the phenomenon of “Return to Marx” embodies the academic path of the past ten years of (...)
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  6.  11
    Ren lei ren shi jie gou yu wen hua.Ping He - 1991 - Wuhan Shi: Hubei sheng xin hua shu dian jing xiao.
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  7.  9
    Sheng cun yu ping jia.Ping He - 1998 - Beijing: Dong fang chu ban she.
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  8. Zhongguo chuan tong zheng zhi si wei tan yuan.Ping He - 2003 - Tianjin Shi: Tianjin ren min chu ban she.
     
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  9.  12
    Makesi zhu yi zhe xue Zhongguo hua de li lun yu li shi yan jiu.Delin Tao & Ping He (eds.) - 2011 - Beijing: Beijing shi fan da xue chu ban she.
  10.  20
    Meta-Network Analysis of Structural Correlation Networks Provides Insights Into Brain Network Development.Xiaohua Xu, Ping He, Pew-Thian Yap, Han Zhang, Jingxin Nie & Dinggang Shen - 2019 - Frontiers in Human Neuroscience 13.