| Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors M Han, L Ding, X Zhao, W Kang Energy 171, 69-76, 2019 | 129 | 2019 |
| Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS X Zhao, M Han, L Ding, W Kang Applied Energy 216, 132-141, 2018 | 120 | 2018 |
| Forecasting carbon dioxide emissions based on a hybrid of mixed data sampling regression model and back propagation neural network in the USA X Zhao, M Han, L Ding, AC Calin Environmental Science and Pollution Research 25, 2899-2910, 2018 | 48 | 2018 |
| Probability density forecasts for steam coal prices in China: The role of high-frequency factors L Ding, Z Zhao, M Han Energy 220, 119758, 2021 | 29 | 2021 |
| Forecasting China's wastewater discharge using dynamic factors and mixed-frequency data L Ding, Z Lv, M Han, X Zhao, W Wang Environmental pollution 255, 113148, 2019 | 28 | 2019 |
| Commodity momentum and reversal: Do they exist, and if so, why? M Han Journal of Futures Markets 43 (9), 1204-1237, 2023 | | 2023 |
