| Stochastic population dynamics under regime switching Q Luo, X Mao Journal of Mathematical Analysis and applications 334 (1), 69-84, 2007 | 313 | 2007 |
| New criteria on exponential stability of neutral stochastic differential delay equations Q Luo, X Mao, Y Shen Systems & Control Letters 55 (10), 826-834, 2006 | 143 | 2006 |
| Stochastic stabilization of hybrid differential equations F Deng, Q Luo, X Mao Automatica 48 (9), 2321-2328, 2012 | 132 | 2012 |
| Stabilization of hybrid stochastic differential equations by feedback control based on discrete-time state observations X Mao, W Liu, L Hu, Q Luo, J Lu Systems & Control Letters 73, 88-95, 2014 | 127 | 2014 |
| Stochastic population dynamics under regime switching II Q Luo, X Mao Journal of Mathematical Analysis and Applications 355 (2), 577-593, 2009 | 115 | 2009 |
| Global exponential stability in Lagrange sense for recurrent neural networks with time delays X Liao, Q Luo, Z Zeng, Y Guo Nonlinear Analysis: Real World Applications 9 (4), 1535-1557, 2008 | 109 | 2008 |
| The improved LaSalle-type theorems for stochastic functional differential equations Y Shen, Q Luo, X Mao Journal of Mathematical Analysis and Applications 318 (1), 134-154, 2006 | 103 | 2006 |
| Noise suppresses or expresses exponential growth F Deng, Q Luo, X Mao, S Pang Systems & Control Letters 57 (3), 262-270, 2008 | 97 | 2008 |
| Exponential stability of recurrent neural networks with time-varying discrete and distributed delays T Li, Q Luo, C Sun, B Zhang Nonlinear Analysis: Real World Applications 10 (4), 2581-2589, 2009 | 84 | 2009 |
| Positive invariant and global exponential attractive sets of neural networks with time-varying delays X Liao, Q Luo, Z Zeng Neurocomputing 71 (4-6), 513-518, 2008 | 83 | 2008 |
| Global exponential stability in Lagrange sense for neutral type recurrent neural networks Q Luo, Z Zeng, X Liao Neurocomputing 74 (4), 638-645, 2011 | 69 | 2011 |
| Generalised theory on asymptotic stability and boundedness of stochastic functional differential equations Q Luo, X Mao, Y Shen Automatica 47 (9), 2075-2081, 2011 | 60 | 2011 |
| Stabilisation of hybrid stochastic differential equations by feedback control based on discrete‐time observations of state and mode G Song, BC Zheng, Q Luo, X Mao IET Control Theory & Applications 11 (3), 301-307, 2017 | 57 | 2017 |
| Stabilization of stochastic Hopfield neural network with distributed parameters Q Luo, F Deng, J Bao, B Zhao, Y Fu Science in China Series F: Information Sciences 47, 752-762, 2004 | 46 | 2004 |
| Almost sure exponential stability of stochastic reaction diffusion systems Q Luo, Y Zhang Nonlinear Analysis: Theory, Methods & Applications 71 (12), e487-e493, 2009 | 31 | 2009 |
| Global exponential stability of impulsive delayed reaction–diffusion neural networks via Hardy–Poincarè inequality Y Zhang, Q Luo Neurocomputing 83, 198-204, 2012 | 26 | 2012 |
| Unconditional global exponential stability in Lagrange sense of genetic regulatory networks with SUM regulatory logic Q Luo, R Zhang, X Liao Cognitive neurodynamics 4, 251-261, 2010 | 20 | 2010 |
| Sufficient and necessary conditions for Lyapunov stability of Lorenz system and their application Q Luo, XX Liao, ZG Zeng Science China Information Sciences 53, 1574-1583, 2010 | 20 | 2010 |
| Theory and application of stability for stochastic reaction diffusion systems Q Luo, FQ Deng, XR Mao, JD Bao, YT Zhang Science in China Series F: Information Sciences 51, 158-170, 2008 | 20 | 2008 |
| Global exponential stability of impulsive cellular neural networks with time-varying delays via fixed point theory Y Zhang, Q Luo Advances in Difference Equations 2013, 1-12, 2013 | 19 | 2013 |
