| Forecasting tourist arrivals with machine learning and internet search index S Sun, Y Wei, KL Tsui, S Wang Tourism Management 70, 1-10, 2019 | 381 | 2019 |
| A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2. 5 concentration forecasting M Niu, Y Wang, S Sun, Y Li Atmospheric environment 134, 168-180, 2016 | 249 | 2016 |
| A decomposition-clustering-ensemble learning approach for solar radiation forecasting S Sun, S Wang, G Zhang, J Zheng Solar Energy 163, 189-199, 2018 | 152 | 2018 |
| A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting M Niu, Y Hu, S Sun, Y Liu Applied Mathematical Modelling 57, 163-178, 2018 | 142 | 2018 |
| New developments in wind energy forecasting with artificial intelligence and big data: A scientometric insight E Zhao, S Sun, S Wang Data Science and Management 5 (2), 84-95, 2022 | 121 | 2022 |
| A novel machine learning-based electricity price forecasting model based on optimal model selection strategy W Yang, S Sun, Y Hao, S Wang Energy 238, 121989, 2022 | 112 | 2022 |
| A new dynamic integrated approach for wind speed forecasting S Sun, H Qiao, Y Wei, S Wang Applied energy 197, 151-162, 2017 | 111 | 2017 |
| A new secondary decomposition ensemble learning approach for carbon price forecasting H Li, F Jin, S Sun, Y Li Knowledge-Based Systems 214, 106686, 2021 | 107 | 2021 |
| Interval decomposition ensemble approach for crude oil price forecasting S Sun, Y Sun, S Wang, Y Wei Energy Economics 76, 274-287, 2018 | 101 | 2018 |
| Containing the spread of coronavirus disease 2019 (COVID-19): Meteorological factors and control strategies J Lin, W Huang, M Wen, D Li, S Ma, J Hua, H Hu, S Yin, Y Qian, P Chen, ... Science of the Total Environment 744, 140935, 2020 | 93 | 2020 |
| A new ensemble deep learning approach for exchange rates forecasting and trading S Sun, S Wang, Y Wei Advanced Engineering Informatics 46, 101160, 2020 | 93 | 2020 |
| Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM2. 5 concentration forecasting M Niu, K Gan, S Sun, F Li Journal of environmental management 196, 110-118, 2017 | 89 | 2017 |
| Knowledge mapping of tourism demand forecasting research C Zhang, S Wang, S Sun, Y Wei Tourism Management Perspectives 35, 100715, 2020 | 82 | 2020 |
| An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting D Yang, J Guo, S Sun, J Han, S Wang Applied Energy 306, 117992, 2022 | 78 | 2022 |
| A secondary-decomposition-ensemble learning paradigm for forecasting PM2. 5 concentration K Gan, S Sun, S Wang, Y Wei Atmospheric Pollution Research 9 (6), 989-999, 2018 | 78 | 2018 |
| The impact of COVID-19 on hotel customer satisfaction: evidence from Beijing and Shanghai in China S Sun, F Jiang, G Feng, S Wang, C Zhang International Journal of Contemporary Hospitality Management 34 (1), 382-406, 2022 | 74 | 2022 |
| Forecasting air passenger demand with a new hybrid ensemble approach F Jin, Y Li, S Sun, H Li Journal of Air Transport Management 83, 101744, 2020 | 70 | 2020 |
| AdaBoost-LSTM ensemble learning for financial time series forecasting S Sun, Y Wei, S Wang Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018 | 67 | 2018 |
| Urban and rural differences with regional assessment of household energy consumption in China S Wang, S Sun, E Zhao, S Wang Energy 232, 121091, 2021 | 65 | 2021 |
| Analysis and forecasting of crude oil price based on the variable selection-LSTM integrated model Q Lu, S Sun, H Duan, S Wang Energy Informatics 4 (Suppl 2), 47, 2021 | 64 | 2021 |