Stock price prediction based on deep neural networks P Yu, X Yan Neural Computing and Applications 32, 1609-1628, 2020 | 195 | 2020 |

Parameter extraction of photovoltaic models using an improved teaching-learning-based optimization S Li, W Gong, X Yan, C Hu, D Bai, L Wang, L Gao Energy Conversion and Management 186, 293-305, 2019 | 186 | 2019 |

Survey of improving naive bayes for classification L Jiang, D Wang, Z Cai, X Yan Advanced Data Mining and Applications: Third International Conference, ADMA …, 2007 | 149 | 2007 |

Parameter estimation of photovoltaic models with memetic adaptive differential evolution S Li, W Gong, X Yan, C Hu, D Bai, L Wang Solar Energy 190, 465-474, 2019 | 110 | 2019 |

Optimal power flow by means of improved adaptive differential evolution S Li, W Gong, L Wang, X Yan, C Hu Energy 198, 117314, 2020 | 97 | 2020 |

Solve traveling salesman problem using particle swarm optimization algorithm X Yan, C Zhang, W Luo, W Li, W Chen, H Liu International Journal of Computer Science Issues (IJCSI) 9 (6), 264, 2012 | 94 | 2012 |

A fast evolutionary algorithm for traveling salesman problem X Yan, H Liu, J Yan, Q Wu Third International Conference on Natural Computation (ICNC 2007) 4, 85-90, 2007 | 64 | 2007 |

Solving nonlinear equations system with dynamic repulsion-based evolutionary algorithms Z Liao, W Gong, X Yan, L Wang, C Hu IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (4), 1590-1601, 2018 | 62 | 2018 |

A hybrid adaptive teaching–learning-based optimization and differential evolution for parameter identification of photovoltaic models S Li, W Gong, L Wang, X Yan, C Hu Energy Conversion and Management 225, 113474, 2020 | 58 | 2020 |

Parameter extraction of different fuel cell models with transferred adaptive differential evolution W Gong, X Yan, X Liu, Z Cai Energy 86, 139-151, 2015 | 56 | 2015 |

Modified NSGA-III for sensor placement in water distribution system C Hu, L Dai, X Yan, W Gong, X Liu, L Wang Information Sciences 509, 488-500, 2020 | 50 | 2020 |

A MapReduce based Parallel Niche Genetic Algorithm for contaminant source identification in water distribution network C Hu, J Zhao, X Yan, D Zeng, S Guo Ad Hoc Networks 35, 116-126, 2015 | 49 | 2015 |

Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm C Lu, L Gao, W Gong, C Hu, X Yan, X Li Swarm and Evolutionary Computation 60, 100803, 2021 | 41 | 2021 |

Multimodal optimization problem in contamination source determination of water supply networks X Yan, J Zhao, C Hu, D Zeng Swarm and Evolutionary Computation 47, 66-71, 2019 | 40 | 2019 |

Hybrid genetic algorithm for engineering design problems X Yan, H Liu, Z Zhu, Q Wu Cluster Computing 20, 263-275, 2017 | 38 | 2017 |

Pollution source localization in an urban water supply network based on dynamic water demand X Yan, Z Zhu, T Li Environmental Science and Pollution Research 26, 17901-17910, 2019 | 37 | 2019 |

Fuzzy neighborhood-based differential evolution with orientation for nonlinear equation systems W He, W Gong, L Wang, X Yan, C Hu Knowledge-Based Systems 182, 104796, 2019 | 36 | 2019 |

Multi-label classification algorithm research based on swarm intelligence Q Wu, H Liu, X Yan Cluster Computing 19, 2075-2085, 2016 | 35 | 2016 |

Research on contaminant sources identification of uncertainty water demand using genetic algorithm Y Xuesong, S Jie, H Chengyu Cluster Computing 20, 1007-1016, 2017 | 34 | 2017 |

An improved particle swarm optimization algorithm and its application X Yan, Q Wu, H Liu, W Huang International Journal of Computer Science Issues (IJCSI) 10 (1), 316, 2013 | 33 | 2013 |