Yaqian He Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Central Arkansas
faculty
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Biography and Research Information
OverviewAI-generated summary
Yaqian He's research focuses on geospatial modeling and land cover analysis, with applications in environmental justice and public health. She has investigated the spatial-temporal variations of aerosol optical depth (AOD) in East Asia, utilizing MAIAC AOD products to understand atmospheric conditions. Her work also includes land cover and land use mapping across various regions, such as East Asia and the Indo-Malaysian region, examining changes over extended periods using satellite data like AVHRR NDVI.
In addition to environmental research, He has explored the intersection of environmental factors with health outcomes. Her publications include a study on the geospatial modeling of health, socioeconomic, demographic, and environmental factors associated with COVID-19 incidence rates in Arkansas. She also examines the quality of urban street trees and their implications for environmental justice. He has a publication record of 68 papers, with an h-index of 16 and 938 citations. She collaborates with researchers from the University of Central Arkansas and the University of Arkansas at Fayetteville.
Metrics
- h-index: 16
- Publications: 68
- Citations: 938
Selected Publications
- Co-evolution of private and public hospitals: spatiotemporal disparities, geospatial interactions, and social determinants over 19 years in Sichuan, China (2025) DOI
- Spatiotemporal Characterization of Soybean Phenology in the Arkansas Delta Region Using Multi-Source Remotely Sensed Data from 2002 to 2020 (2025) DOI
- Joint spatiotemporal evaluation of multiple healthcare resources: hospitals, hospital beds and physicians across 365 Chinese cities over 22 years (2025) DOI
- Land Cover and Land Use Change Impacts on Temperature Extremes in China from 1982 to 2013 (2025) DOI
- Agricultural Geography and International Water Conflict: Evidence from Remotely Sensed Data (2025) DOI
- A Deep-Learning Workflow for CORONA-Based Historical Land Use Classifications (2025) DOI
- Enhanced Extreme Precipitation Simulation in China using NCAR CESM Based on Realistic Remotely-Sensed Land Cover and Land Use Data from 1982 to 2013 (2025) DOI
- Spatiotemporal disparities in maternal mortality and the role of multiscale administrative levels: a 20-year study across Chinese counties (2025) DOI
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