Stabilization of hybrid systems by feedback control based on discrete-time state observations S You, W Liu, J Lu, X Mao, Q Qiu SIAM Journal on Control and Optimization 53 (2), 905-925, 2015 | 145 | 2015 |

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 | 125 | 2014 |

Strong convergence of the stopped Euler–Maruyama method for nonlinear stochastic differential equations W Liu, X Mao Applied Mathematics and Computation 223, 389-400, 2013 | 85 | 2013 |

The partially truncated Euler–Maruyama method and its stability and boundedness Q Guo, W Liu, X Mao, R Yue Applied Numerical Mathematics 115, 235-251, 2017 | 48 | 2017 |

The truncated Milstein method for stochastic differential equations with commutative noise Q Guo, W Liu, X Mao, R Yue Journal of Computational and Applied Mathematics 338, 298-310, 2018 | 47 | 2018 |

The truncated EM method for stochastic differential equations with Poisson jumps S Deng, W Fei, W Liu, X Mao Journal of Computational and Applied Mathematics 355, 232-257, 2019 | 40 | 2019 |

Moment bounds for a class of fractional stochastic heat equations M Foondun, W Liu, MS Omaba The Annals of Probability, 2131-2153, 2017 | 37 | 2017 |

Stabilization of stochastic differential equations with Markovian switching by feedback control based on discrete-time state observation with a time delay Q Qiu, W Liu, L Hu, X Mao, S You Statistics & Probability Letters 115, 16-26, 2016 | 34 | 2016 |

Advances in stabilization of hybrid stochastic differential equations by delay feedback control J Hu, W Liu, F Deng, X Mao SIAM Journal on Control and Optimization 58 (2), 735-754, 2020 | 32 | 2020 |

On some properties of a class of fractional stochastic heat equations W Liu, K Tian, M Foondun Journal of Theoretical Probability 30, 1310-1333, 2017 | 28 | 2017 |

Some non-existence results for a class of stochastic partial differential equations M Foondun, W Liu, E Nane Journal of Differential Equations 266 (5), 2575-2596, 2019 | 21 | 2019 |

Truncated Euler-Maruyama method for classical and time-changed non-autonomous stochastic differential equations W Liu, X Mao, J Tang, Y Wu Applied Numerical Mathematics 153, 66-81, 2020 | 20 | 2020 |

Numerical stationary distribution and its convergence for nonlinear stochastic differential equations W Liu, X Mao Journal of Computational and Applied Mathematics 276, 16-29, 2015 | 20 | 2015 |

Almost sure stability of the Euler–Maruyama method with random variable stepsize for stochastic differential equations W Liu, X Mao Numerical Algorithms 74, 573-592, 2017 | 19 | 2017 |

Stabilization and destabilization of hybrid systems by periodic stochastic controls X Li, W Liu, X Mao, J Zhao Systems & Control Letters 152, 104929, 2021 | 15 | 2021 |

A note on the partially truncated Euler–Maruyama method Q Guo, W Liu, X Mao Applied Numerical Mathematics 130, 157-170, 2018 | 15 | 2018 |

Semi-implicit Euler–Maruyama method for non-linear time-changed stochastic differential equations CS Deng, W Liu BIT Numerical Mathematics 60, 1133-1151, 2020 | 14 | 2020 |

Stabilisation in distribution of hybrid stochastic differential equations by feedback control based on discrete-time state observations X Li, W Liu, Q Luo, X Mao Automatica 140, 110210, 2022 | 12 | 2022 |

Mean square polynomial stability of numerical solutions to a class of stochastic differential equations W Liu, M Foondun, X Mao Statistics & Probability Letters 92, 173-182, 2014 | 12 | 2014 |

The backward Euler-Maruyama method for invariant measures of stochastic differential equations with super-linear coefficients W Liu, X Mao, Y Wu Applied Numerical Mathematics 184, 137-150, 2023 | 11 | 2023 |