| Interpretable wind speed prediction with multivariate time series and temporal fusion transformers B Wu, L Wang, YR Zeng Energy 252, 123990, 2022 | 109 | 2022 |
| Forecasting the US oil markets based on social media information during the COVID-19 pandemic B Wu, L Wang, S Wang, YR Zeng Energy 226, 120403, 2021 | 98 | 2021 |
| Effective crude oil price forecasting using new text-based and big-data-driven model B Wu, L Wang, SX Lv, YR Zeng Measurement 168, 108468, 2021 | 77 | 2021 |
| Forecasting monthly tourism demand using enhanced backpropagation neural network L Wang, B Wu, Q Zhu, YR Zeng Neural Processing Letters 52 (3), 2607-2636, 2020 | 29 | 2020 |
| Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19 B Wu, L Wang, R Tao, YR Zeng Neural Computing and Applications 35 (7), 5437-5463, 2023 | 14 | 2023 |
| Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19 B Wu, L Wang, YR Zeng Applied Intelligence 53 (11), 14493-14514, 2023 | 12 | 2023 |
| Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution B Wu, L Wang, SX Lv, YR Zeng Applied Intelligence 53 (5), 5473-5496, 2023 | 8 | 2023 |
| Two-stage decomposition and temporal fusion transformers for interpretable wind speed forecasting B Wu, L Wang Energy 288, 129728, 2024 | 3 | 2024 |
| A resource-efficient ECG diagnosis model for mobile health devices R Tao, L Wang, B Wu Information Sciences 648, 119628, 2023 | 3 | 2023 |
| Interpretable corn future price forecasting with multivariate time series B Wu, Z Wang, L Wang Journal of Forecasting, 0 | 1 | |
| Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers B Wu, H Zeng, Z Wang, L Wang Applied Soft Computing, 111639, 2024 | | 2024 |
| Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition B Wu, S Yu, L Peng, L Wang Energy, 130782, 2024 | | 2024 |
