| Back propagation neural network with adaptive differential evolution algorithm for time series forecasting L Wang, Y Zeng, T Chen Expert Systems with Applications 42 (2), 855–863, 2015 | 674 | 2015 |
| Health information privacy concerns, antecedents, and information disclosure intention in online health communities X Zhang, S Liu, X Chen, L Wang, B Gao, Q Zhu Information & Management 55 (4), 482-493, 2018 | 425 | 2018 |
| Effective Long short-term Memory with Differential Evolution Algorithm for Electricity Price Prediction L Peng, S Liu, R Liu, L Wang Energy 162, 1301-1314, 2018 | 326 | 2018 |
| Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network YR Zeng, Y Zeng, B Choi, L Wang Energy 127, 381-396, 2017 | 254 | 2017 |
| Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index S Li, T Chen, L Wang, C Ming Tourism Management 68, 116-126, 2018 | 252 | 2018 |
| Effective energy consumption forecasting using empirical wavelet transform and long short-term memory L Peng, L Wang, D Xia, Q Gao Energy 238, 121756, 2022 | 188 | 2022 |
| An improved fruit fly optimization algorithm and its application to joint replenishment problems L Wang, Y Shi, S Liu Expert Systems with Applications 42 (9), 4310–4323, 2015 | 175 | 2015 |
| Wind speed forecasting based on variational mode decomposition and improved echo state network H Hu, L Wang, R Tao Renewable Energy 164, 729-751, 2021 | 173 | 2021 |
| Optimal forecast combination based on neural networks for time series forecasting L Wang, Z Wang, H Qu, S Liu Applied Soft Computing 66, 1-17, 2018 | 168 | 2018 |
| Interpretable wind speed prediction with multivariate time series and temporal fusion transformers B Wu, L Wang, YR Zeng Energy 252, 123990, 2022 | 162 | 2022 |
| Understanding the impact of risks on performance in internal and outsourced information technology projects: The role of strategic importance S Liu, L Wang International Journal of Project Management 32 (8), 1494–1510, 2014 | 162 | 2014 |
| An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm L Wang, Z Wang, S Liu Expert Systems with Applications 43, 237–249, 2016 | 146 | 2016 |
| Forecasting energy consumption and wind power generation using deep echo state network H Hu, L Wang, SX Lv Renewable Energy 154, 598-613, 2020 | 145 | 2020 |
| A hybrid VMD–BiGRU model for rubber futures time series forecasting Q Zhu, F Zhang, S Liu, Y Wu, L Wang Applied Soft Computing 84, 105739, 2019 | 116 | 2019 |
| Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithm L Wang, H Hu, XY Ai, H Liu Energy 153, 801-815, 2018 | 116 | 2018 |
| 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 | 114 | 2021 |
| Influence of managerial control on performance in medical information system projects: The moderating role of organizational environment and team risks S Liu, L Wang International Journal of Project Management 34 (1), 102–116, 2016 | 107 | 2016 |
| Effects of process and outcome controls on business process outsourcing performance: Moderating roles of vendor and client capability risks S Liu, L Wang, WW Huang European Journal of Operational Research 260 (3), 1115-1128, 2017 | 104 | 2017 |
| Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization SX Lv, L Wang Applied Energy 311, 118674, 2022 | 95 | 2022 |
| 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 | 92 | 2021 |
Shan LiuXi'an Jiaotong UniversityVerified email at xjtu.edu.cn
