| Forecasting China's electricity consumption using a new grey prediction model S Ding, KW Hipel, Y Dang Energy 149, 314-328, 2018 | 276 | 2018 |
| Forecasting Chinese CO2 emissions from fuel combustion using a novel grey multivariable model S Ding, YG Dang, XM Li, JJ Wang, K Zhao Journal of Cleaner Production 162, 1527-1538, 2017 | 168 | 2017 |
| A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting S Ding, R Li, Z Tao Energy Conversion and Management 227, 113644, 2021 | 161 | 2021 |
| Estimating Chinese energy-related CO2 emissions by employing a novel discrete grey prediction model S Ding, N Xu, J Ye, W Zhou, X Zhang Journal of Cleaner Production 259, 120793, 2020 | 138 | 2020 |
| A novel discrete grey multivariable model and its application in forecasting the output value of China’s high-tech industries S Ding Computers & Industrial Engineering 127, 749-760, 2019 | 138 | 2019 |
| Forecasting Chinese greenhouse gas emissions from energy consumption using a novel grey rolling model N Xu, S Ding, Y Gong, J Bai Energy 175, 218-227, 2019 | 101 | 2019 |
| A novel self-adapting intelligent grey model for forecasting China's natural-gas demand S Ding Energy 162, 393-407, 2018 | 101 | 2018 |
| Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model S Ding, R Li Engineering Applications of Artificial Intelligence 100, 104148, 2021 | 99 | 2021 |
| Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting S Ding, R Li, S Wu, W Zhou Applied Energy 298, 117114, 2021 | 93 | 2021 |
| Using a self-adaptive grey fractional weighted model to forecast Jiangsu’s electricity consumption in China X Zhu, Y Dang, S Ding Energy 190, 116417, 2020 | 92 | 2020 |
| Predictions and mitigation strategies of PM2. 5 concentration in the Yangtze River Delta of China based on a novel nonlinear seasonal grey model W Zhou, X Wu, S Ding, X Ji, W Pan Environmental Pollution 276, 116614, 2021 | 71 | 2021 |
| Application of a novel discrete grey model for forecasting natural gas consumption: A case study of Jiangsu Province in China W Zhou, X Wu, S Ding, J Pan Energy 200, 117443, 2020 | 69 | 2020 |
| A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers J Ye, Y Dang, S Ding, Y Yang Journal of Cleaner Production 229, 256-267, 2019 | 69 | 2019 |
| A novel discrete grey seasonal model and its applications W Zhou, S Ding Communications in Nonlinear Science and Numerical Simulation 93, 105493, 2021 | 65 | 2021 |
| A novel composite forecasting framework by adaptive data preprocessing and optimized nonlinear grey Bernoulli model for new energy vehicles sales S Ding, R Li, S Wu Communications in Nonlinear Science and Numerical Simulation 99, 105847, 2021 | 64 | 2021 |
| Forecasting nuclear energy consumption in China and America: An optimized structure-adaptative grey model S Ding, Z Tao, H Zhang, Y Li Energy 239, 121928, 2022 | 59 | 2022 |
| Forecasting Chinese provincial CO2 emissions: A universal and robust new-information-based grey model S Ding, H Zhang Energy Economics 121, 106685, 2023 | 45 | 2023 |
| A novel seasonal adaptive grey model with the data-restacking technique for monthly renewable energy consumption forecasting S Ding, Z Tao, R Li, X Qin Expert Systems with Applications 208, 118115, 2022 | 39 | 2022 |
| Integrating data decomposition and machine learning methods: An empirical proposition and analysis for renewable energy generation forecasting S Ding, H Zhang, Z Tao, R Li Expert Systems with Applications 204, 117635, 2022 | 37 | 2022 |
| Accurate forecasts and comparative analysis of Chinese CO2 emissions using a superior time-delay grey model S Ding, J Hu, Q Lin Energy Economics 126, 107013, 2023 | 30 | 2023 |