| China’s regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation K Wang, S Yu, W Zhang Mathematical and Computer Modelling 58 (5-6), 1117-1127, 2013 | 473 | 2013 |
| Regional allocation of CO2 emissions allowance over provinces in China by 2020 K Wang, X Zhang, YM Wei, S Yu Energy policy 54, 214-229, 2013 | 274 | 2013 |
| A dynamic all parameters adaptive BP neural networks model and its application on oil reservoir prediction S Yu, K Zhu, F Diao Applied mathematics and computation 195 (1), 66-75, 2008 | 258 | 2008 |
| Carbon emission coefficient measurement of the coal-to-power energy chain in China S Yu, YM Wei, H Guo, L Ding Applied Energy 114, 290-300, 2014 | 208 | 2014 |
| Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition S Yu, YM Wei, K Wang Energy policy 66, 630-644, 2014 | 196 | 2014 |
| China can peak its energy-related carbon emissions before 2025: Evidence from industry restructuring S Yu, S Zheng, X Li, L Li Energy Economics 73, 91-107, 2018 | 180 | 2018 |
| The achievement of the carbon emissions peak in China: The role of energy consumption structure optimization S Yu, S Zheng, X Li Energy Economics 74, 693-707, 2018 | 137 | 2018 |
| A PSO–GA optimal model to estimate primary energy demand of China S Yu, YM Wei, K Wang Energy Policy 42, 329-340, 2012 | 134 | 2012 |
| Does the development of renewable energy promote carbon reduction? Evidence from Chinese provinces S Yu, X Hu, L Li, H Chen Journal of environmental management 268, 110634, 2020 | 125 | 2020 |
| Energy demand projection of China using a path-coefficient analysis and PSO–GA approach S Yu, K Zhu, X Zhang Energy Conversion and Management 53 (1), 142-153, 2012 | 119 | 2012 |
| Exploring the regional characteristics of inter-provincial CO2 emissions in China: an improved fuzzy clustering analysis based on particle swarm optimization S Yu, YM Wei, J Fan, X Zhang, K Wang Applied energy 92, 552-562, 2012 | 110 | 2012 |
| Provincial carbon intensity abatement potential estimation in China: a PSO–GA-optimized multi-factor environmental learning curve method S Yu, J Zhang, S Zheng, H Sun Energy Policy 77, 46-55, 2015 | 106 | 2015 |
| Realizing China's goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach S Yu, S Zheng, X Zhang, C Gong, J Cheng Energy policy 122, 300-312, 2018 | 103 | 2018 |
| A hybrid self-adaptive Particle Swarm Optimization–Genetic Algorithm–Radial Basis Function model for annual electricity demand prediction S Yu, K Wang, YM Wei Energy Conversion and Management 91, 176-185, 2015 | 99 | 2015 |
| Convergence of carbon emissions intensity across Chinese industrial sectors S Yu, X Hu, J Fan, J Cheng Journal of Cleaner Production 194, 179-192, 2018 | 92 | 2018 |
| A comprehensive evaluation of the development and utilization of China's regional renewable energy S Yu, Y Zheng, L Li Energy Policy 127, 73-86, 2019 | 89 | 2019 |
| An evaluation of the supply risk for China's strategic metallic mineral resources S Yu, H Duan, J Cheng Resources Policy 70, 101891, 2021 | 86 | 2021 |
| A hybrid GA–TS algorithm for open vehicle routing optimization of coal mines material S Yu, C Ding, K Zhu Expert Systems with Applications 38 (8), 10568-10573, 2011 | 81 | 2011 |
| Optimization and evaluation of CCHP systems considering incentive policies under different operation strategies L Li, S Yu, H Mu, H Li Energy 162, 825-840, 2018 | 78 | 2018 |
| China’s primary energy demands in 2020: Predictions from an MPSO–RBF estimation model S Yu, YM Wei, K Wang Energy Conversion and Management 61, 59-66, 2012 | 74 | 2012 |
Yi-Ming Wei (魏一鸣)Center of Energy and Environmental Policy Research, Beijing Institute of TechnologyVerified email at bit.edu.cn
