Yaqian He Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Last publication 2025 Last refreshed 2026-04-01

faculty

16 h-index 68 pubs 938 cited

Biography and Research Information

OverviewAI-generated summary

Yaqian He's research focuses on geospatial modeling and analysis, particularly in relation to environmental factors and public health. He has investigated the spatial-temporal variation of aerosol optical depth (AOD) in East Asia, validating and analyzing MAIAC AOD aerosol products. His work also includes land cover and land use mapping, examining rapid changes in regions like East Asia and the Indo-Malaysian region using satellite data. He has applied these geospatial techniques to study health outcomes, including the incidence rate of COVID-19 in Arkansas, considering socioeconomic, demographic, and environmental factors. Additionally, He has explored the quality of urban street trees and their implications for environmental justice. His research has also touched upon medicinal plants, specifically the effects of Leea indica leaf extracts on human ovarian cancer cells.

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)
  • Spatiotemporal Characterization of Soybean Phenology in the Arkansas Delta Region Using Multi-Source Remotely Sensed Data from 2002 to 2020 (2025)
  • Joint spatiotemporal evaluation of multiple healthcare resources: hospitals, hospital beds and physicians across 365 Chinese cities over 22 years (2025)
    1 citation DOI OpenAlex
  • Land Cover and Land Use Change Impacts on Temperature Extremes in China from 1982 to 2013 (2025)
    1 citation DOI OpenAlex
  • The biogeophysical impacts of land cover change on climate extremes in the Arctic and Boreal regions (2025)
  • Agricultural Geography and International Water Conflict: Evidence from Remotely Sensed Data (2025)
  • A Deep-Learning Workflow for CORONA-Based Historical Land Use Classifications (2025)
    2 citations DOI OpenAlex
  • 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)
  • Spatiotemporal disparities in maternal mortality and the role of multiscale administrative levels: a 20-year study across Chinese counties (2025)
    4 citations DOI OpenAlex
  • Detecting land cover and land use transitions and the associated temperature changes in the East Asian monsoon region (2024)
    1 citation DOI OpenAlex
  • Analysis of Aerosol Types and Vertical Distribution in Seven Typical Cities in East Asia (2024)
    2 citations DOI OpenAlex
  • Detecting land cover and land use change and its impact on biomass carbon emission from 2001 to 2019 in Arkansas, U.S.A (2023)
    4 citations DOI OpenAlex
  • Land cover mapping via crowdsourced multi-directional views: The more directional views, the better (2023)
    13 citations DOI OpenAlex
  • Evaluating the quality of street trees in Washington, D.C.: Implications for environmental justice (2023)
    15 citations DOI OpenAlex
  • Impacts of irrigation-climate interactions on irrigated soybean yields in the US Arkansas Delta from 2003 to 2017 (2023)
    3 citations DOI OpenAlex

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Collaboration Network

149 Collaborators 53 Institutions 7 Countries

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