1.A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network

Zhou, QP, Jiang, HY,     More...

Zhou, QP, Jiang, HY, Wang, JZ, Zhou, JL     Less

SCIENCE OF THE TOTAL ENVIRONMENT[0048-9697], Published 2014, Volume 496, Pages 264-274

收錄情况： WOS SCOPUS

WOS核心合集引用: 242  2023影響因子:  8.2  发表年影響因子:  4.099 

2.A novel grey Verhulst model with four parameters and its application to forecast the carbon dioxide emissions in China

Zeng, B, Zheng, TT,     More...

Zeng, B, Zheng, TT, Yang, YJ, Wang, JZ     Less

SCIENCE OF THE TOTAL ENVIRONMENT[0048-9697], Published 2023, Volume 899,

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WOS核心合集引用: 18  2023影響因子:  8.2  发表年影響因子:  8.2 

3.Particulate Matter 2.5 concentration prediction system based on uncertainty analysis and multi-model integration

Chen, Yamei, Wang, J     More...

Chen, Yamei, Wang, Jianzhou, Li, Runze, Li, Jingrui     Less

Science of the Total Environment[0048-9697], Published 2025, Volume 958,

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2023影響因子:  8.2