Shuangcheng Li l Machine Learning Applications | Research Excellence Award

Prof. Shuangcheng Li l Machine Learning Applications | Research Excellence Award

Peking University | China

Shuangcheng Li is a professor of physical geography with a doctoral background and extensive leadership in integrated land–environment research. He holds a Ph.D. and has developed a distinguished academic career as a professor, doctoral supervisor, and director of national key laboratories, leading numerous major research projects. His research interests focus on ecosystem services and human well-being, land system carbon source–sink assessment, land–climate–vegetation interactions, renewable energy impacts, and environmental health effects of climate change. His research skills include spatial analysis, ecosystem modeling, climate–land interaction analysis, interdisciplinary integration, and high-impact academic publishing, with professional recognition reflected through national leadership roles, editorial responsibilities, and influential scholarly contributions shaping physical geography research.

Citation Metrics (Scopus)

1200
9000
6000
3000
0

Citations
8,435

Documents
175

h-index
47

Citations

Documents

h-index


View Scopus Profile

Featured Publications

Land Use Impacts the Environmental Benefits of Wind Energy Farms in China

Communications Earth & Environment, 2025 · Open Access
Research on Low-Carbon, Green and High-Quality Development of Prefecture-Level Cities in Henan Province Based on LCGH Model from the Perspective of Carbon Neutrality

Acta Scientiarum Naturalium Universitatis Pekinensis, 2025
Ecological Risks and Patterns Associated With Land Use/Cover Changes Along the Belt and Road Initiative Routes

Land Degradation & Development, 2025 · 4 citations
Dynamics of Carbon Emissions in Yunnan Province: Spatiotemporal Characteristics and Influencing Factors

China Environmental Science, 2025 · 4 citations
Dynamic Responses of Soil Organic Carbon to Urbanization: A Global Perspective

Global Change Biology, 2024 · 7 citations

Alicia Palacios-Orueta | Spatial Data Analysis | Research Excellence Award

Dr. Alicia Palacios-Orueta | Spatial Data Analysis | Research Excellence Award

 Universidad Politécnica de Madrid | Spain

Dr. Alicia Palacios-Orueta is a Full Professor (Catedrática de Universidad) in the Department of Agroforestry Engineering at the Technical University of Madrid (Universidad Politécnica de Madrid, UPM), with an internationally recognized career in environmental science and remote sensing. She holds a degree in Agricultural Engineering from UPM and completed her MSc and PhD in Soil Science at the University of California, Davis. Her academic trajectory spans more than two decades, including appointments as Assistant Professor, Associate Professor, and Full Professor, as well as research positions in leading international institutions in the United States, Italy, Israel, and Sweden. Her research focuses on soil science, climatology, meteorology, geology, plant ecology, remote sensing, hyperspectral analysis, and spatial–temporal time series analysis. She is especially known for pioneering work on hyperspectral indices for soil and vegetation assessment and for innovative statistical approaches to remote sensing time series with spatial dimensions. Her research has received international visibility, including coverage by Nature Geoscience and New Scientist, and she has contributed to advisory bodies such as the Seosat/Ingenio Mission Advisory Group. She has coordinated numerous national and international research projects, supervised doctoral theses, and taught extensively at undergraduate, master’s, and doctoral levels. Her scholarly impact is reflected in 44 documents, an h-index of 21, and approximately 1,743 citations. Overall, Dr. Palacios-Orueta is a leading scholar whose work has significantly advanced the understanding of land–atmosphere interactions and environmental monitoring through remote sensing.

Citation Metrics (Scopus)

1800
1400
900
400
0

Citations
1,743

Documents
44

h-index
21

Citations

Documents

h-index

View Scopus Profile View Orcid Profile

Featured Publications