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[21]Xuemei Li, Xinge Liu*, Fengxian Wang, Anti-synchronization of fractional-order complex-valued neural networks with a leakage delay and time-varying delays,Chaos, Solitons and Fractals 174 (2023) 113754
[22]Feng-Xian Wang, Jie Zhang, Yan-Jun Shu, Xin-Ge Liu, On stability and event trigger control of fractional neural networks by fractional non-autonomous Halanay inequalities,Chaos, Solitons and Fractals 170 (2023) 113418
[23]Shuailei Zhang, Meilan Tang, Xuemei Li and Xinge Liu*, Stability and stabilization of fractional-order non-autonomous systems with unbounded delay, Communications in Nonlinear Science and Numerical Simulation,2023 (117) 106922
[24]Tian-Shun Peng, Hong-Bing Zeng , WeiWang , Xian-Ming Zhang , and Xin-Ge Liu, General and Less Conservative Criteria on Stability and Stabilization of T–S Fuzzy Systems With Time-Varying Delay,IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2023, 31(5),1531- 1541
[25]Feng-XianWang1 Jie Zhang1 Yan-Jun Shu2 Xin-Ge Liu*, Stability analysis for fractional-order neural networks with time-varying delay, Asian J. Control,2023;25:1488–1498
[26]Shuailei Zhang, Xinge Liu* & Xuemei Li, Finite-time synchronisation of delayed fractional- order coupled neural networks, International Journal of Systems Science, 2022, 53(12),2597-2611
[27]Xuemei Li , Xinge Liu *, Approximate controllability for Hilfer fractional stochastic evolution inclusion with nonlocal conditions, Stochastic Analysis and Applications, 2023,41(4), 647-671
[28]Q Chen, X G Liu*, X M Li, Further improved global exponential stability result for neural networks with time-varying delay,Neural Computing and Applications,2022,34:2115–2132,
[29]Xuemei Li, Xinge Liu*, Shuailei Zhang, New criteria on the finite-time stability of fractional -order BAM neural networks with time delay, Neural Computing and Applications (2022) 34:4501–4517,
[30]Xiaofang Hu , Xinge Liu , Meilan Tang*, Stability analysis of delayed neural network based on the convex method and the non-convex method. Neurocomputing 483 (2022) 275–285
[31]Meilan Tang, Xiaofang Hu, Xinge Liu*, Qiao Chen, Asymptotic stability of static neural networks with interval time-varying delay based on LMI, Neurocomputing 440 (2021) 375–384.
[32]Shuailei Zhang Mei-Lan Tang, Xin-Ge Liu* , Synchronization of Riemann-Liouville fractional time-delayed neural network with two inertial terms, Circ. Syst. Signal Process, (2021) 40:5280–5308,
[33]Xuemei Li, Xin-Ge Liu*, Meilan Tang Approximate controllability of fractional evolution inclusions with damping,Chaos, Solitons and Fractals 148 (2021) 111073
[34]Fengxian Wang, Xinge Liu*,Further results on Mittag-Leffler synchronization of fractional-order coupled neural networks, Advances in Difference Equations (2021) 2021:240, 1-29
[35]Q Chen X G Liu* , F X Wang , Improved Results on L2 L∞L2 L∞ State Estimation for Neural Networks with Time-varying Delay, Circuits Syst Signal Process 2022,41:122–146
[36]Fengxian Wang, · Xinge Liu*, Pseudo-State Estimation for Fractional Order Neural Networks,Neural Processing Letters (2022) 54:251–264
[37]Li Li , Xinge Liu, Meilan Tang *, Shuailei Zhang, Xian-Ming Zhang, Asymptotical synchronization analysis of fractional-order complex neural networks with non-delayed and delayed couplings, Neurocomputing 445 (2021) 180–193.
[38]X. Yao, Mei-Lan Tang* , Feng-Xian Wang, Z. Ye, Xin-Ge Liu*, New results on stability for a class of fractional-order static neural networks, Circ. Syst. Signal Process. 39(2020) 5926-5950
[39]Sai-Bing Qiu, Xin-Ge Liu*, Qiao Chen, Feng-Xian Wang.Stability and passivity analysis of discrete-time linear systems with time-varying delay.Systems & Control Letters, 2019, 134
[40]Fengxian Wang, Xinge Liu*, Meilan Tang, Lifang Chen.Further results on stability and synchronization of fractional-order Hopfield neural networks.Neurocomputing, 2019, 346: 12-19.
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