| Stock price prediction based on deep neural networks P Yu, X Yan Neural Computing and Applications 32 (6), 1609-1628, 2020 | 350 | 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 | 276 | 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 | 177 | 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 | 169 | 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 | 149 | 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 9 (6), 264-271, 2012 | 103 | 2012 |
| 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 | 102 | 2020 |
| 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 | 81 | 2021 |
| 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 | 79 | 2018 |
| Adaptive constraint differential evolution for optimal power flow S Li, W Gong, C Hu, X Yan, L Wang, Q Gu Energy 235, 121362, 2021 | 72 | 2021 |
| 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 | 67 | 2007 |
| 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 | 63 | 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 | 61 | 2015 |
| Deep learning-based building extraction from remote sensing images: A comprehensive review L Luo, P Li, X Yan Energies 14 (23), 7982, 2021 | 57 | 2021 |
| 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 | 57 | 2015 |
| An ensemble learning based multi-objective evolutionary algorithm for the dynamic vehicle routing problem with time windows F Wang, F Liao, Y Li, X Yan, X Chen Computers & Industrial Engineering 154, 107131, 2021 | 53 | 2021 |
| 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 | 48 | 2019 |
| 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 | 48 | 2019 |
| CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization M Yang, A Zhou, C Li, J Guan, X Yan Information Sciences 512, 64-79, 2020 | 44 | 2020 |
| 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 | 43 | 2019 |
