发表论文情况：
著作:
[1] 李翔，李聪，王建波, 《复杂网络传播理论：流行的隐秩序》，北京：高等教育出版社，ISBN: 978-7-04-054605-7, 2020.09.
[2] Li C.,“Characterization and Design of Complex Networks”, ISBN: 978-94-6186-364-5, 2014.
书章：
[3] Li X., Wang J.-B. and Li C., Towards Identifying and Predicting Spatial Epidemics on Complex Meta-population Networks, “Temporal Network Epidemiology”, pp 129-160, Springer, ISBN：978-981-10-5286-6, 978-981-10-5287-3 (ebook), 2017.
期刊论文：
[4] C. Li，Y. Zhang, X. Li*，Epidemic threshold in temporal multiplex networks with individual layer preference, IEEE Transactions on Network Science and Engineering, to appear, 2021.
[5] C. Li, J. Li and X. Li*, Evolving nature of human contact networks with its impact on epidemic processes, Complexity, Article ID 6643658, 2021.
[6] X.J. Li, C. Li* and X. Li, The impact of information dissemination on vaccination in multiplex networks, Science China-Information Science (Sci China Inf Sci), to appear, 2021.
[7] 李靖，李聪*，李翔，人类时效交互网络的建模与传播研究综述，复杂系统与复杂性科学（Complex Systems and Complexity Science），Vol 16，No.3，pp1-21. Sep. 2019. 文章编号1672-3813（2019）.
[8] C. Li, W.J. Wang, J.Y. Li, J.T. Xu and X. Li*, Community Detector on Symptom Networks with Applications to Fatty Liver Disease, Physica A: Statistical Mechanics and its Applications, Volume 527, 1 August 2019, 121328.
[9] C. Li, S.M. Zhang, X. Li*, Can multiple social ties help improve human location prediction? Physica A: Statistical Mechanics and its Applications, 2019, 525, 1276–1288.
[10] Z.J. Li, C. Li*, X. Li, Mining the rank of universities with Wikipedia, Science China-Information Science (Sci China Inf Sci), 2019, 62(10): 209202.
[11] D.C. Guo, H. Yin, C. Li*, X. Zhang, Average hopcount of the shortest path in tree-like components with finite size, Physica A, 519 (2019) 295–302.
[12] X.-J. Li, C. Li, X. Li, Minimizing Social Cost of Vaccinating Network SIS Epidemics, IEEE Transactions on Network Science and Engineering, 2017. (DOI 10.1109/TNSE. 2017. 2766665).
[13] B. Qu, C. Li*, P. Van Mieghem, H. Wang, Ranking of nodal infection probability in Susceptible-Infected-Susceptible Epidemic, Scientific Reports 7, Article number: 9233, 2017.
[14] C. Li*, Q. Li, P. Van Mieghem, H. Eugene Stanley and H. Wang, “Relation Between Centrality Metrics and Their Application to the Opinion Model”, European Physical Journal B, Vol. 88, No. 3, article 65, 2015.
[15] C. Li*, H. Wang and P. Van Mieghem, “Epidemic Threshold in Directed Networks”, Physical Review E 88(6), 062802, 2013.
[16] C. Li*, R. Van de Bovenkamp and P. Van Mieghem, “Susceptible-Infected-Susceptible Model: A Comparison of N-intertwined and Heterogeneous Mean-field Approximations”, Physical Review E 86(2), 026116, 2012.
[17] C. Li*, H. Wang and P. Van Mieghem, “Bounds for the Spectral Radius of a Graph When Nodes are Removed”, Linear Algebra and its Applications 437, pp. 319-323,2012.
[18] C. Li*, H. Wang, W. De Haan, C. J. Stam and P. Van Mieghem, ” The Correlation of Metrics in Complex Networks with Applications in Functional Brain Networks”, Journal of Statistical Mechanics: Theory and Experiment (JSTAT), 11018, 2011.
[19] P. Van Mieghem, D. Stevanovic, F. A. Kuipers, C. Li, R. Van de Bovenkamp, D. Liu and H.Wang, “Decreasing the Spectral Radius of a Graph by Link Removals”, Physical Review E 84(1), 016101, 2011.
会议论文 (EI检索):
[20] X.Z. Tang, Y. Zhang, C. Li*, X. Li, How Online Social Ties Influence the Epidemic Spreading of a Multiplex Network? IFIP Networking 2020，23th June (online) Pairs, France, P1-5.
[21] H.Y. Ji, Q. Yuan, C. Li, X. Li*, Bearing-Based Formation Control of Multi-Agent System without Leader's Velocity Information, IFAC World Congress 2020 (online), P1-5.
[22] Y. Zhang, J.B. Wang, C. Li*, X. Li, Epidemic spreading in time-varying networks with activity-driven infectivity, 58th IEEE Conference on Decision and Control (CDC 2019), pp. 3776-3781, December 11-13, 2019, Nice France.
[23] R.R. Kang, C. Li, X. Li*, Social Power Convergence on Duplex Influence Networks with Self-Appraisals networks, 58th IEEE Conference on Decision and Control (CDC 2019), pp. 5611-5616. December 11-13, 2019, Nice France.
[24] W.J. Wang, C. Li*, J.T. Xu, and X. Li, Bridging Fatty Liver Disease and Traditional Chinese Medicine: A Complex Network Approach. The 2019 IEEE international symposium on circuits & systems (ISCAS 2019), SAPPORO, Japan, 2019.
[25] S.-M Zhang, C. Li* and X. Li, Predicting Location Trajectories of Humans by Their Diverse Social Ties, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, Oct. 7-10, p1217-1222.
[26] X.J. Li, C. Li, X. Li*, Win-win zero-determinant strategy to vaccinate the SIS network epidemics, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, Oct. 7-10, p3119-3124.
[27] J. Li, C. Li*, X. Li，Quantifying the contact memory in temporal human interactions，The 2018 IEEE international symposium on circuits & systems (ISCAS 2018), Florence, Italy, May 27-30, 2018，PP.1-5.
[28] P. Yao, C. Li* and X. Li, The Functional Regions in Structural Controllability of Human Functional Brain Networks, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, Canada, Oct. 5th-8th 2017, P1603-1608.
[29] X.-J. Li, C. Li, X. Li, Vaccinating SIS epidemics in networks with zero-determinant strategy, IEEE international symposium on circuits & systems (ISCAS 2017), Baltimore, MD, USA, p2275-2278.
[30] B.-Y Hou, X. Li, C. Li, Recent Advances and Challenges on Control of Complex Networks, Proceedings of the 35th Chinese Control Conference, 2016, 27-29 July, Chengdu, China, p1187-1191.
[31] J.-B. Wang, C. Li* and X. Li, Predicting spatial transmission at the early stage of epidemics on a networked metapopulation, Proceedings of the 12th IEEE International Conference on Control & Automation, Kathmandu, Nepal, 2016, Jun. 1-3, p116-121.
[32] X. Li, J.-B. Wang and C. Li, Towards identifying epidemic processes with interplay between complex networks and human populations, Proceedings of the 2nd IEEE Conference on Norbert Wiener in the 21st Century, Melbourne, Australia, 2016, July 13-15, p67-71.
[33] C. Li*, H. Wang and P. Van Mieghem, “New Lower Bounds for the Fundamental Weight of the Principal Eigenvector in Complex Networks”, Third International IEEE Workshop on Complex Networks and their Applications, November 23-27, Marrakesh, Morocco, 2014.
[34] C. Li*, H. Wang and P. Van Mieghem, “Degree and Principal Eigenvectors in Complex Networks”, Networking 2012, Part I, LNCS 7289, pp. 149-160, 2012.
[35] C. Li*, F. Liu and Y. Zhang, “A Principal Palm-line Extraction Method for Palmprint Images Based on the Diversity and Contrast”, The 3rd International IEEE Congress on Image and Signal Processing (CISP’10), 2010.
