Yu Feng

Associate Professor

NSFC Excellent Scientist

yufeng@eitech.edu.cn

Background Information: 

Yu Feng is an Associate Professor at the Eastern Institute of Technology (EIT), Ningbo, China, His research focuses on global vegetation change and the associated ecohydrological feedback. He has published more than 40 SCI papers, including 23 first/corresponding authors, with more than 2500 citations and an H-index of 28. Some of his research papers have been selected as Nature Sustainability cover and featured articles, and have become the support materials for the reports of the Food and Agriculture Organization of the United Nations (FAO), and have been widely reported by domestic and international media (Sciencenet, Mongabay, The Guardian, etc.). His theses have been recognized by Sichuan University, the Chinese Academy of Agricultural Sciences, and the University of Hong Kong for outstanding/best thesis, respectively. He has served as a reviewer for more than 10 SCI journals, including One Earth.


Research Field:

Global vegetation changes and the associated ecohydrological feedback. Current research focuses on: 1) patterns, mechanisms and environmental impacts of tropical vegetation and its carbon cycle processes; and 2) observation and modeling of ecohydrological processes.


Educational Background:

2018-2022: PhD (Water and Environmental Engineering), The University of Hong Kong (joint programme with Southern University of Science and Technology)

2015-2018: M.S. (Agricultural Soil and Water Engineering), Graduate School of the Chinese Academy of Agricultural Sciences

2011-2015: BS (Agricultural Water Conservancy Engineering), Sichuan University


Work Experience:

2023-Present: Associate Professor, Eastern Institute of Technology, Ningbo

2022-2023: Postdoctoral Fellow, Laboratoire des Sciences du Climat et de l'Environnement, France.


Academic Part-time Jobs (Partial):

Review Editor, Frontiers in Earth Observation and Land Monitoring


Awards and Honors:

2023: National Young Talents Program

2023: Li Ka Shing Prizes, The University of Hong Kong


Representative Works:

General Information

He has published more than 40 SCI papers, with a total citation of more than 2500 and an H-index of 28 (Source: Google Scholar).


Google Scholar:

https://scholar.google.com/citations?user=2pJ66KkAAAAJ&hl=en


10 Representative Works (* refers to the corresponding author)

1. Feng, Y., et al. Doubling of annual forest carbon loss over the tropics during the early twenty-first century. Nature Sustainability 5, 444-451 (2022).

2. Feng, Y., et al. Upward expansion and acceleration of forest clearance in the mountains of Southeast Asia. Nature Sustainability 4, 892-899 (2021).

3. Wu, J., Feng, Y., et al. Earth greening mitigates hot temperature extremes despite the effect being dampened by rising CO2. One Earth (2023) (Accepted).

4. Feng, Y., et al. Machine learning models to quantify and map daily global solar radiation and photovoltaic power. Renewable and Sustainable Energy Reviews 118, 109393 (2020).

5. Feng, Y., et al. High-resolution assessment of solar radiation and energy potential in China. Energy Conversion and Management 240, 114265 (2021).

6. Feng, Y., et al. Evaluation of temperature-based machine learning and empirical models for predicting daily global solar radiation. Energy Conversion and Management 198, 111780 (2019).

7. Wu, J., Feng, Y., et al. Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration. Journal of Hydrology 622, 129743 (2023).

8. Wu, J., Feng, Y., et al. Assessing evapotranspiration observed from ECOSTRESS using flux measurements in agroecosystems. Agricultural Water Management 269, 107706 (2022).

9. Feng, Y., et al. National-scale assessment of pan evaporation models across different climatic zones of China. Journal of Hydrology 564, 314-328 (2018).

10. Feng, Y, et al. Calibration of Hargreaves model for reference evapotranspiration estimation in Sichuan basin of southwest China. Agricultural Water Management 181, 1-9 (2017).