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Ge Qiu

Biographic Data

ID8650402
NAMEGe Qiu
GIVEN NAMESGe
FAMILY NAMEQiu
SIGNATUREQIU G
AFFILIATIONSWuhan University
ORCID0000-0002-9771-627X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Moxibustion with Artemisia argyi H.Lév. & Vaniot in rheumatoid arthritis animal models

    Open Access•Jiatian Ma, Yangyang Zhao et al.•ARTICLE•Journal of Ethnopharmacology•2026

  • High-resolution population density mapping in urban areas using a contextualized geographically weighted neural network (CGWNN) model

    Open Access•Ge Qiu, Yuchen Li et al.•ARTICLE•Applied Geography•2025

    High-resolution gridded population data are crucial for various fields. Estimating heterogeneous urban populations presents challenges due to nonlinear relationships between influential factors and population density, which vary spatially across grids within different land-use parcels. This study developed a Contextualized Geographically Weighted Neural Network (CGWNN) model to estimate population density on 100 × 100m grid cells in Beijing, Chin…

  • Associations and pathways between residential greenness and metabolic syndromes in Fujian Province

    Open Access•Xiaoqing Li, Qinjian Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Background Greenness exposure is beneficial to human health, but its potential mechanisms through which the risk for metabolic syndrome (MetS) could be reduced have been poorly studied. We aimed to estimate the greenness-MetS association in southeast China and investigate the independent and joint mediation effects of physical activity (PA), body mass index (BMI), and air pollutants on the association. Methods A cross-sectional study was conducte…

No prominent works on this page.

  • Associations and pathways between residential greenness and metabolic syndromes in Fujian Province

    Open Access•Xiaoqing Li, Qinjian Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Background Greenness exposure is beneficial to human health, but its potential mechanisms through which the risk for metabolic syndrome (MetS) could be reduced have been poorly studied. We aimed to estimate the greenness-MetS association in southeast China and investigate the independent and joint mediation effects of physical activity (PA), body mass index (BMI), and air pollutants on the association. Methods A cross-sectional study was conducte…

  • High-resolution population density mapping in urban areas using a contextualized geographically weighted neural network (CGWNN) model

    Open Access•Ge Qiu, Yuchen Li et al.•ARTICLE•Applied Geography•2025

    High-resolution gridded population data are crucial for various fields. Estimating heterogeneous urban populations presents challenges due to nonlinear relationships between influential factors and population density, which vary spatially across grids within different land-use parcels. This study developed a Contextualized Geographically Weighted Neural Network (CGWNN) model to estimate population density on 100 × 100m grid cells in Beijing, Chin…

  • Moxibustion with Artemisia argyi H.Lév. & Vaniot in rheumatoid arthritis animal models

    Open Access•Jiatian Ma, Yangyang Zhao et al.•ARTICLE•Journal of Ethnopharmacology•2026

Demography (2 works) · Abdominal obesity (1 works) · Acupuncture Treatment Research Studies (1 works) · Animal studies (1 works) · Arthritis (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Biology (1 works) · Body mass index (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae