Yichan Li
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Post-doctoral Researcher
Also affiliated: Chinese Academy of Sciences (2020); Changjiang Water Resources Commission (2024); University of Florida (2026); Northwest Institute of Eco-Environment and Resources (2020); Beijing University of Chemical Technology (2018); Lanzhou University (2019–2021)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Yichan Li's research focuses on paleoclimatology and environmental science, investigating past climate changes and their implications. Li has published on topics including Holocene effective moisture changes, global drought-pluvial volatility, and the connection between East Asian and North American climate modes. Their work also examines changes in lake organic carbon sinks and evaluates human impacts on these systems. Recent publications include studies on granite weathering and gully erosion in subtropical regions, and paleoclimatic proxies from global closed basins as indicators of the Anthropocene. Li has a publication record of 23 papers with 74 citations and an h-index of 5. They have collaborated with Linyin Cheng at the University of Arkansas at Fayetteville on shared publications.
Metrics
- h-index: 5
- Publications: 23
- Citations: 75
Positions
-
Postdoc Fellow 2026–presentUniversity of Houston Department of Earth and Atmospheric Sciences ORCID
-
Post-doctoral Researcher publications 2021–2026University of Arkansas at Fayetteville ORCID
-
Post-doctoral Researcher 2025–2026University of Florida Department of Geography ORCID
-
Graduate Asstistant 2021–2025University of Arkansas at Fayetteville Department of Geosciences ORCID
Selected Publications
-
Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States" (2026)
-
Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States" (2026)
-
Integrative machine learning approach for identifying genes associated with quantitative traits: A soybean ( Glycine max ) yield case study (2026)
-
Integrative Machine Learning Approach for Identifying Genes Associated with Quantitative Traits: A Soybean Yield Case Study (2025)
-
Observational Uncertainty for Global Drought‐Pluvial Volatility (2023)
-
Changes of lake organic carbon sinks from closed basins since the Last Glacial Maximum and quantitative evaluation of human impacts (2021)
Collaboration Network
Top Collaborators
- Integrative Machine Learning Approach for Identifying Genes Associated with Quantitative Traits: A Soybean Yield Case Study
- Integrative machine learning approach for identifying genes associated with quantitative traits: A soybean ( Glycine max ) yield case study
- Integrative Machine Learning Approach for Identifying Genes Associated with Quantitative Traits: A Soybean Yield Case Study
- Integrative machine learning approach for identifying genes associated with quantitative traits: A soybean ( Glycine max ) yield case study
- Integrative Machine Learning Approach for Identifying Genes Associated with Quantitative Traits: A Soybean Yield Case Study
- Integrative machine learning approach for identifying genes associated with quantitative traits: A soybean ( Glycine max ) yield case study
- Integrative Machine Learning Approach for Identifying Genes Associated with Quantitative Traits: A Soybean Yield Case Study
- Integrative machine learning approach for identifying genes associated with quantitative traits: A soybean ( Glycine max ) yield case study
- Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States"
- Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States"
- Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States"
- Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States"
- Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States"
- Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States"
- Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States"
- Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States"
- Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States"
- Source Data and Code for: "Crop Yield Response to Drought-Pluvial Volatility over the Contiguous United States"
- Changes of lake organic carbon sinks from closed basins since the Last Glacial Maximum and quantitative evaluation of human impacts
- Changes of lake organic carbon sinks from closed basins since the Last Glacial Maximum and quantitative evaluation of human impacts
- Changes of lake organic carbon sinks from closed basins since the Last Glacial Maximum and quantitative evaluation of human impacts
- Changes of lake organic carbon sinks from closed basins since the Last Glacial Maximum and quantitative evaluation of human impacts
- Changes of lake organic carbon sinks from closed basins since the Last Glacial Maximum and quantitative evaluation of human impacts
- Observational Uncertainty for Global Drought‐Pluvial Volatility
Similar Researchers
Based on overlapping research topics