| EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning X Peng, H Wang, J Lang, W Li, Q Xu, Z Zhang, T Cai, S Duan, F Liu, C Li Energy 220, 119692, 2021 | 105 | 2021 |
| A simple approach for short-term wind speed interval prediction based on independently recurrent neural networks and error probability distribution A Saeed, C Li, Z Gan, Y Xie, F Liu Energy 238, 122012, 2022 | 69 | 2022 |
| Literature review on life cycle assessment of transportation alternative fuels F Liu, M Shafique, X Luo Environmental Technology & Innovation 32, 103343, 2023 | 40 | 2023 |
| A new lower and upper bound estimation model using gradient descend training method for wind speed interval prediction F Liu, C Li, Y Xu, G Tang, Y Xie Wind Energy 24 (3), 290-304, 2021 | 30 | 2021 |
| Quantifying delayed climate mitigation benefits in electric and fuel cell vehicle deployment for sustainable mobility F Liu, M Shafique, X Luo Sustainable Production and Consumption, 2024 | 8 | 2024 |
| Dynamic lifecycle emissions of electric and hydrogen fuel cell vehicles in a multi-regional perspective F Liu, M Shafique, X Luo Environmental Impact Assessment Review 111, 107695, 2025 | 1 | 2025 |
| Unveiling the determinants of battery electric vehicle performance: A systematic review and meta-analysis F Liu, M Shafique, X Luo Communications in Transportation Research 4, 100148, 2024 | | 2024 |