Big Data Analytics

Artificial Intelligence Modeling

Economic Systems Simulation

2007-09--2012-07 Ph.D. in Management, Institute of Science and Development, Chinese Academy of Sciences

2002-09-2006-07 Bachelor of Engineering, Agricultural University of China

   

2023-02~Now,  University of Chinese Academy of Sciences,  Professor

2021-03~2023-01, Beijing University of Aeronautics and Astronautics, Professor

2018-01~2021-02, Beijing University of Chemical Technology, Professor

2012-07~2017-12, Beijing University of Chemical Technology, Associate Professor

   

1. Ling Tang, Junai Yang, Jiali Zheng, Xinlu Sun, Lu Cheng, Kehan He, Ling Li, Jinkai Li*, Wenjia Cai, Shouyang Wang, Paul Drummond, Zhifu Mi*. Assessing the impacts of fertility and retirement policies on China’s carbon emissions. Nature Climate Change, 2024, https://www.nature.com/articles/s41558-024-02162-4. (SCI, Q1, 29.6) 
2. Ling Tang, Jiabao Qu, Zhifu Mi*, Xin Bo*, Xiangyu Chang, Laura Diaz Anadon, Shouyang Wang, Xiaoda Xue, Shibei Li, Xin Wang, Xiaohong Zhao. Substantial emission reductions from Chinese power plants after the introduction of ultra-low emissions standards. Nature Energy, 2019, 4(11): 929-938. (SCI, Q1, 67.439) 
3. Xin Bo, Min Jia, Xiaoda Xue, Ling Tang*, Zhifu Mi*, Shouyang Wang*, Weigeng Cui, Xiangyu Chang, Jianhui Ruan, Guangxia Dong, Beihai Zhou, Steven J. Davis. Effect of strengthened standards on Chinese ironmaking and steelmaking emissions. Nature Sustainability, 2021, 4(9): 811-820. (SCI/SSCI, Q1, 27.157) 
4. Ling Tang, Jianhui Ruan, Xin Bo*, Zhifu Mi*, Shouyang Wang, Guangxia Dong, Steven J. Davis. Plant-level real-time monitoring data reveal substantial abatement potential of air pollution and CO2 in China’s cement sector, One Earth, 2022, 5: 892-906. (SCI/SSCI, Q1, 14.944) 
5. Ling Tang, Xiaoda Xue, Jiabao Qu, Zhifu Mi*, Xin Bo*, Xiangyu Chang, Shouyang Wang, Shibei Li, Weigeng Cui, Guangxia Dong. Air pollution emissions from Chinese power plants based on the continuous emission monitoring systems network. Scientific Data, 2020, 7: 325 (SCI, Q1, 8.501) 
6. Ling Tang*, Chengyuan Zhang, Ling Li, Shouyang Wang. A multi-scale method for forecasting oil price with multi-factor search engine data. Applied Energy, 2020, 257: 114033. (SSCI/SCI, Q1, 11.446)
7. Ling Tang, Haohan Wang, Ling Li, Kaitong Yang, Zhifu Mi*. Quantitative models in emission trading system research: A literature review. Renewable & Sustainable Energy Reviews, 2020, 132: 110052 (SSCI/SCI, Q1, 16.799)
8. Lean Yu, Yaqing Zhao, Ling Tang*, Zebin Yang. Online big data-driven oil consumption forecasting with Google trends. International Journal of Forecasting, 2019, 35: 213-223. (SSCI, Q1, 7.022)
9. Ling Tang, Yao Wu, Lean Yu*. A randomized-algorithm-based decomposition-ensemble learning methodology for energy price forecasting. Energy, 2018, 157: 526-538. (SSCI/SCI, Q1, 8.857)
10. Jingjing Li, Lizhi Xu, Ling Tang*, Shouyang Wang, Ling Li. Big data in tourism research: A literature review. Tourism Management, 2018, 68: 301-323. (SSCI, Q1, 12.879)

现指导学生

郭远萱  博士研究生  120100-管理科学与工程  

钱双月  硕士研究生  120100-管理科学与工程  

贾瑞博  博士研究生  120100-管理科学与工程  

何茁铭  博士研究生  120100-管理科学与工程  

刘琳  硕士研究生  125100-工商管理  

付术楠  硕士研究生  125100-工商管理  

于晴  博士研究生  020205-产业经济学  

黄妍  硕士研究生  120100-管理科学与工程  

阮建辉  博士研究生  020209-数量经济学  

何京亮  博士研究生  020205-产业经济学  

王博  博士研究生  020205-产业经济学  

Highly Cited Scholars in China (Applied Economics), 2021-2023 (Elsevier)

World's Top 2% Scientists, 2019-2023 (Stanford University, USA)

The second prize of the 8th Outstanding Achievement Award of Scientific Research (Humanities and Social Sciences ) in Colleges and Universities of the Ministry of Education, 2020

The third prize of the 7th Outstanding Achievement Award of Scientific Research (Humanities and Social Sciences ) in Colleges and Universities of the Ministry of Education, 2015

Outstanding Achievement Award of Scientific Research (Humanities and Social Sciences ) in Colleges and Universities of the Ministry of Education

The second prize of Qinghai Provincial Science and Technology Progress Award, 2017

The second prize of Sichuan Provincial Science and Technology Progress Award, 2017