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[2] 10. Xiaojun Zhang , Zishu He, Zheng He, Lez Rayman-Bacchus. Probability routing strategy for scale-free networks, Physica A, 2013, 392:953-958

[3] 9. Xiaojun Zhang, Zishu He, Lez Rayman-Bacchus, Jihong Yan. MIMO Radar Transmit Beampattern Matching Design, IEEE Transactions on Signal Processing, 2015,63(8): 2049-2056

[4] 8. X Zhang，Z He，L Rayman-Bacchus, Random birth-and-death networks, Journal of Statistical Physics,2016,162(4):842-854

[5] 7. 张晓军, 钟守铭, 网络规模衰减的随机生灭网络平均度研究, 物理学报, 2016,65(23),23020

[6] 6. Xiaojun Zhang, Huilan Yang, Degree distribution of random birth-and-death network with network size decline, Chinese Physics B, 2016,25(6):71-77

[7] 5. Xiaojun Zhang, Xin Wang, Shouming Zhong，Further result on H_infty state estimation of static neural networks with interval time-varying delay, Journal of Nonlinear Science and Applications, 2016,9(8):5291-5305

[8] 4. Xiaojun Zhang, Huilan Yang, Shouming Zhong, Lag synchronization of complex dynamical networks with hybrid coupling via adaptive pinning control, Journal of Nonlinear Science and Applications, 2016,9(6):4678-4694

[9] 3. Yin Long, Xiao-Jun Zhang, and Kui Wang, Convergence and approximate calculation of average degree under different network sizes for decreasing random birth-and-death networks, Modern Physics Letters B, 2018,32(15):1850159

[10] 2. Long Y, Zhang X J, Wang K. Theoretical solutions for degree distribution of decreasing random birth-and-death networks. Modern Physics Letters B, 2017, 31(14):1750161.

[11] 1. Taotao Hu，Xiaojun Zhang，Shouming Zhong, Global asymptotic synchronization of nonidentical fractional-order neural networks, Neurocomputing 2018,(313):39-46.