| An improved firefly algorithm for global continuous optimization problems J Wu, YG Wang, K Burrage, YC Tian, B Lawson, Z Ding Expert Systems with Applications 149, 113340, 2020 | 130 | 2020 |
| A new hybrid model to predict the electrical load in five states of Australia J Wu, Z Cui, Y Chen, D Kong, YG Wang Energy 166, 598-609, 2019 | 74 | 2019 |
| Support vector regression with asymmetric loss for optimal electric load forecasting J Wu, YG Wang, YC Tian, K Burrage, T Cao Energy 223, 119969, 2021 | 64 | 2021 |
| A novel hybrid model based on extreme learning machine, k-nearest neighbor regression and wavelet denoising applied to short-term electric load forecasting W Li, D Kong, J Wu Energies 10 (5), 694, 2017 | 45 | 2017 |
| A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability S Zhang, J Wu, Y Jia, YG Wang, Y Zhang, Q Duan Engineering Applications of Artificial Intelligence 100, 104206, 2021 | 42 | 2021 |
| An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems Y Yang, Y Gao, S Tan, S Zhao, J Wu, S Gao, T Zhang, YC Tian, YG Wang Engineering Applications of Artificial Intelligence, 2022 | 30 | 2022 |
| A new hybrid model FPA‐SVM considering Cointegration for particular matter concentration forecasting: A case study of Kunming and Yuxi, China W Li, D Kong, J Wu Computational intelligence and neuroscience 2017 (1), 2843651, 2017 | 29 | 2017 |
| A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic Z Zhao, J Wu, F Cai, S Zhang, YG Wang Scientific Reports 13 (1), 1015, 2023 | 28 | 2023 |
| An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning Y Yang, C Qian, H Li, Y Gao, J Wu, CJ Liu, S Zhao The journal of supercomputing 78 (18), 19566-19604, 2022 | 28 | 2022 |
| QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm S Zhao, Y Wu, S Tan, J Wu, Z Cui, YG Wang Expert Systems with Applications 213, 119246, 2023 | 26 | 2023 |
| A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting Z Zhao, J Wu, F Cai, S Zhang, YG Wang Ecological Indicators 144, 109416, 2022 | 26 | 2022 |
| Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting Y Yang, H Zhou, J Wu, Z Ding, YG Wang Applied Soft Computing 122, 108814, 2022 | 25 | 2022 |
| A hybrid robust system considering outliers for electric load series forecasting Y Yang, Z Tao, C Qian, Y Gao, H Zhou, Z Ding, J Wu Applied Intelligence, 1-23, 2022 | 24 | 2022 |
| An effective dimensionality reduction approach for short-term load forecasting Y Yang, Z Wang, Y Gao, J Wu, S Zhao, Z Ding Electric Power Systems Research 210, 108150, 2022 | 23 | 2022 |
| An integrated federated learning algorithm for short-term load forecasting Y Yang, Z Wang, S Zhao, J Wu Electric Power Systems Research 214, 108830, 2023 | 22 | 2023 |
| A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment S Zhang, J Wu, YG Wang, DS Jeng, G Li Water Research 218, 118518, 2022 | 20 | 2022 |
| A new algorithm for support vector regression with automatic selection of hyperparameters YG Wang, J Wu, ZH Hu, GJ McLachlan Pattern Recognition 133, 108989, 2023 | 19 | 2023 |
| An evaluation of the impact of COVID-19 lockdowns on electricity demand J Wu, N Levi, R Araujo, YG Wang Electric Power Systems Research 216, 109015, 2023 | 18 | 2023 |
| Robust penalized extreme learning machine regression with applications in wind speed forecasting Y Yang, H Zhou, Y Gao, J Wu, YG Wang, L Fu Neural Computing and Applications 34 (1), 391-407, 2022 | 18 | 2022 |
| Modified slime mould algorithm via levy flight Z Cui, X Hou, H Zhou, W Lian, J Wu 2020 13th international congress on image and signal processing, biomedical …, 2020 | 18 | 2020 |
You-Gan WangThe University of Queensland在 acu.edu.au 的电子邮件经过验证
