近期论文
查看导师新发文章
(温馨提示:请注意重名现象,建议点开原文通过作者单位确认)
Liyuan Deng, Siyu Huo, Aihua Chen, and Zonghua Liu, “Coupling resonance of signal responses induced by heterogeneously mixed positive and negative couplings in cognitive subnetworks”, Chaos, Solitons & Fractals 180, 114505 (2024)
Tianle Xu, Shuguang Guan, Zonghua Liu, Yong Zou, “Maximal hysteretic range for explosive synchronization”, Chaos, Solitons & Fractals 180, 114455 (2024)
Zhiyin Yang, Dehua Chen, Gang Hu, and Zonghua Liu, “ Partial remote synchronization in star-like networks with partial connections among leaf nodes”, Physical Review Research 5, 043253 (2023)
Siyu Huo and Zonghua Liu, “Condensation of eigenmodes in functional brain network and its correlation to chimera state”, Communications Physics 6, 285 (2023)
Xi Chen, Haoda Ren, Zhonghua Tang, Ke Zhou, Liqin Zhou, Zhentao Zuo, Xiaohua Cui, Xiaosong
Chen, Zonghua Liu, Yong He, Xuhong Liao, “Leading Basic Modes of Spontaneous Activity Drive Individual Functional Connectivity Organization in the Resting Human Brain ”, Communications Biology6, 892 (2023)
Qiwei Shen, and Zonghua Liu, “Unidirectional links prefer local firing propagation in the neural network of C. elegans”, Chaos, Solitons & Fractals 174, 113850 (2023)
Ling Kang and Zonghua Liu, “Unraveling the complexity of neural networks Comment on “Structure and function in artificial, zebrafish and human neural networks” by Peng Ji et al. ”, Physics of Life Reviews 46, 158–160 (2023)
Dehua Chen, Zhiyin Yang, Qin Xiao, and Zonghua Liu, “Sensitive dynamics of brain cognitive networks and its resource constraints”,Chaos, 33, 063139 (2023)
Haoyu Cao, Zhiyin Yang, and Zonghua Liu, “Remote synchronization in multi-layered community networks with star-like topology”, Chaos, Solitons & Fractals 166, 112893 (2023)
Zhiyin Yang, Dehua Chen, Qin Xiao, and Zonghua Liu, “Phase frustration induced remote synchronization”,Chaos 32, 103125 (2022)
Lang Zeng, Ying-Qi Zeng, Ming Tang , Ying Liu, Zonghua Liu, and Ying-Cheng Lai, “Quantitative assessment of the effects of resource optimization and ICU admission policy on COVID-19 mortalities”, Physical Review Research 4, 033202 (2022)
Tianwei Wu, Siyu Huo, K. Alfaro-Bittner, S. Boccaletti,and Zonghua Liu, “Double Explosive Transition in the Synchronization of Multilayer Networks”, Physical Review Research 4, 033009 (2022)
[本文的Fig.6被Review article: Nature Physics 19,1247-1262 (2023)采用]
Qiwei Shen and Zonghua Liu, “Echo effect in brain networks”, Chaos, Solitons & Fractals 160, 112260 (2022)
Haoyu Cao and Zonghua Liu, “A novel synchronization transition and amplitude death in the local brain networks of cortical regions”, Nonlinear Dyn 108, 2861–2874 (2022)
Tianwei Wu, Xinhua Zhang, and Zonghua Liu, “Understanding the mechanisms of brain functions from the angle of synchronization and complex network”, Front. Phys. 17(3), 31504 (2022)
Siyu Huo, Yong Zou, Marcus Kaiser,and Zonghua Liu, “Time-limited self-sustaining rhythms and state transitions in brain networks”, Physical Review Research 4, 023076 (2022)
刘宗华, 2021年诺贝尔物理学奖解读:复杂物理视角,物理教学 43(12), 2 (2021)
刘宗华, 复杂网络科学可以解释生命现象吗?物理教学 43(10), 2 (2021)
Qiwei Shen and Zonghua Liu, “Remote firing propagation in the neural network of C.elegans”, Phys. Rev. E103, 052414 (2021)
Zhenhua Wang and Zonghua Liu, “Effect of remote signal propagation in an empirical brain network”, Chaos 31, 063126 (2021)
Kezhao Xiong,Zhengxin Yan, You Xie, and Zonghua Liu, “Regulating heat conduction of complex networks by distributed nodes masses”, Sci. Rep.11,5501 (2021)
Zheng-Meng Zhai, Yong-Shang Long, Ming Tang, Zonghua Liu, Ying-Cheng Lai, “Optimal inference of the start of COVID-19”, Physical Review Research 3,013155 (2021)
S. Huo, C. Tian, M. Zheng, S. Guan, C.S. Zhou, and Z. Liu, “Spatial multi-scaled chimera states of cerebral cortex network and its inherent structure-dynamics relationship in human brain”, National Science Review 8: nwaa125 (2021) https://doi.org/10.1093/nsr/nwaa125
刘宗华, “Special topic on dynamics on complex networks”,中国科学: 物理学力学 天文学 50, 010501 (2020)
Kezhao Xiong,Zonghua Liu, ChunhuaZeng, Baowen Li, “Thermal siphon phenomenon and thermal/electric conduction in complex networks”, National Science Review 7: 270-277 (2020) https://doi.org/10.1093/nsr/nwz128(被被美国科学促进会(American Association for the Advancement of Science, AAAS)的全球科技新闻网EurekAlert特别报道,
见 https://www.eurekalert.org/pub_releases/2019-09/scp-tse092719.php)
Ling Kang, Zhenhua Wang, Siyu Huo, Changhai Tian, and Zonghua Liu, “Remote synchronization in human cerebral cortex network with identical oscillators”, Nonlinear Dyn 99:1577–1586 (2020)
王振华, 刘宗华, “复杂网络上的部分同步化: 奇异态、遥同步与集团同步”, Acta Physica Sinica 69, 088902 (2020)
Zhao-Hua Lin, Mi Feng, Ming Tang*, Zonghua Liu*, Chen Xu, Pak Ming Hui, and Ying-Cheng Lai, “Non-Markovian recovery makes complex networks more resilient against largescale failures”, Nature Communications11, 2490 (2020)
Jiameng Zhang, Stefano Boccaletti, Zonghua Liu, andShuguang Guan, “Synchronization of phase oscillators under asymmetric and bimodal distributions of natural frequencies”, Chaos, Solitons and Fractals 136, 109777 (2020)
Zhenhua Wang and Zonghua Liu, “A brief review of chimera state in empirical brain networks”, Frontiers in Psychology 11, 724 (2020)
Dayu Wu, Ming Tang, Zonghua Liu, and Ying-Cheng Lai, “Impact of inter-layer hopping on epidemic spreading in a multilayer network”, Communications in Nonlinear Science and Numerical Simulation 90, 105403 (2020)
Liang Cao and Zonghua Liu, “How IQ depends on the running mode of brain network? ”, Chaos 30, 073111 (2020)
Siyu Huo, Changhai Tian, Ling Kang, and Zonghua Liu, “Chimera states of neuron networks with adaptive coupling”, Nonlinear Dynamics 96, 75 (2019)
Xue Li, Tian Qiu, Stefano Boccaletti, Irene Sendi?a-Nadal, Zonghua Liu, Shuguang Guan, “Synchronization clusters emerge asthe result of a global coupling among classical phase oscillators”, NJP 21, 053002 (2019)
Ling Kang, Changhai Tian, Siyu Huo, and Zonghua Liu, “A two-layered brain network model and its chimera state”, Scientific Reports 9, 14389 (2019)
Yizhan Xu, Ming Tang, Ying Liu, Yong Zou, and Zonghua Liu, “Identifying epidemic threshold by temporal profile of outbreaks on networks”, Chaos 29, 103141 (2019)
Tian Qiu, S. Boccaletti, Zonghua Liu, and Shuguang Guan, “Characterizing nonstationary coherent states in globally coupledconformist and contrarian oscillators”, Phys. Rev. E 100, 052310 (2019)
Zewen Chen, Yong Zou, Shuguang Guan, Zonghua Liu, and Juergen Kurths, “Fully solvable lower dimensional dynamics of Cartesian product of Kuramoto models”, New J. Phys. 21, 123019 (2019)
Muhua Zheng, Wei Wang, Ming Tang, Jie Zhou, S. Boccaletti and Zonghua Liu, “Multiple peaks patterns of epidemic spreading in multi-layer networks”, Chaos, Solitons and Fractals 107 (2018) 135–142 (美国 匹兹堡大学网站 https://www.tycho.pitt.edu/featured-works/对此工作做了专题特别报道)
Liang Cao, Changhai Tian, Zhenhua Wang, Xiyun Zhang, and Zonghua Liu, “Influence of stochastic perturbations on the cluster explosive synchronization of second-order Kuramoto oscillators on networks”, PRE 97, 022220 (2018)
Jiao Wu, Muhua Zheng, Zi-Ke Zhang, Wei Wang, Changgui Gu, and Zonghua Liu, “A model of spreading of sudden events on social networks”, Chaos 28, 033113 (2018)
Changhai Tian, Liang Cao, Hongjie Bi, Kesheng Xu, and Zonghua Liu, “Chimera states in neuronal networks with time-delay and electromagnetic induction”, Nonlinear Dynamics 93, 1695 (2018)
Hengcong Liu, Muhua Zheng, and Zonghua Liu, “A paradox of epidemics between the state and parameter spaces”, Sci. Rep. 8, 7517 (2018)
唐明,刘宗华,“网络科学:网络化时代的思维范式”, 科学 70, 29 (2018)
Kezhao Xiong, Chunhua Zeng, Zonghua Liu,and Baowen Li, “Influence of degree of complex network on heat conduction”, Phys. Rev. E 98, 022115 (2018)
Yong Zou, Zhiyong Zhao, Dazhi Yin, Mingxia Fan, Michael Small, Zonghua Liu, Claus C Hilgetag, and Juergen Kurths, “Brain anomaly networks uncover heterogeneous functional reorganization patterns after stroke”, NeuroImage: Clinical 20, 523 (2018)
Tian Qiu , Ivan Bonamassa , Stefano Boccaletti , Zonghua Liu and Shuguang Guan, “Rhythmic synchronization and hybrid collective states of globally coupled oscillators”, Sci. Rep. 8, 12950 (2018)
Kezhao Xiong, Chunhua Zeng, and Zonghua Liu , “Effect of degree correlation on the thermal transport in complex networks”, Nonlinear Dyn. 94, 3067-3075 (2018)
Hui Wu, Ling Kang, Zonghua Liu, and Mukesh Dhamala,“Exact explosive synchronization transitions in Kuramoto oscillators with time-delayed coupling” , Sci. Rep. 8, 15521 (2018)
Kezhao Xiong, Jie Zhou, Ming Tang, Chunhua Zeng, and Zonghua Liu , “Controlling of thermal conduction and rectification in a model of complex networks with two asymmetric parts”, Phys. Rev. E 98, 062144 (2018)(We would like to inform you that we have selected Figure 4b from this paper to be displayed on our journal web site as part of our Kaleidoscope, 见:https://journals.aps.org/pre/kaleidoscope/pre/98/6/062144 或 Kaleidoscope-Phys. Rev. E 98, 062144 (2018).jpg)
Chao-Qing Wang, Alain Pumir, Nicolas B. Garnier and Zonghua Liu, “Explosive synchronization enhances selectivity: Example of the cochlea”,Front. Phys. 12, 128901 (2017)
Changhai Tian, Xiyun Zhang, Zhenhua Wang, and Zonghua Liu, “Diversity of chimera-like patterns from a model of 2D arrays of neurons with non-local couplings”,Front. Phys. 12, 128904 (2017)
Zhenhua Wang, Changhai Tian, Mukesh Dhamala and Zonghua Liu, “A small change in neuronal network topology can induce explosive synchronization transition and activity propagation in the entire network”,Sci. Rep. 7, 561 (2017).
Xiyun Zhang, Arkady Pikovsky and Zonghua Liu, “Dynamics of oscillators globally coupled via two mean fields”, Sci. Rep. 7, 2014 (2017).
Muhua Zheng, Ming Zhao, Byungjoon Min, and Zonghua Liu, “Synchronized and mixed outbreaks of coupled recurrent epidemics”, Sci. Rep. 7, 2424 (2017). (美国匹兹堡大学网站 https://www.tycho.pitt.edu/featured-works/对此工作做了专题特别报道)
Kezhao Xiong and Zonghua Liu, “Temperature dependence of heat conduction coef?cient innanotube/nanowire networks”,Chinese Physics B 26, 098904 (2017)
Changhai Tian, Hongjie Bi, Xiyun Zhang, Shuguang Guan, and Zonghua Liu, “Asymmetric couplings enhance the transition from chimera state to synchronization”,Phys. Rev. E 96, 052209(2017)
Jie Zhou, Yong Zou, Shuguang Guan, Zonghua Liu, Gaoxi Xiao, and Stefano Boccaletti, “Connection adaption for control of networked mobile chaotic agents”,Sci. Rep.7, 16069(2017)