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G Grekousis

Biographic Data

ID33615
NAMEG Grekousis
GIVEN NAMESG
FAMILY NAMEGrekousis
SIGNATUREGREKOUSIS G
AFFILIATIONSSun Yat-sen University
ORCID0000-0003-2837-2335
VERIFIEDYes
TOTAL WORKS13
TOTAL CITATIONS25
AUTHOR COUNT13
EDITOR COUNT0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2026
H-INDEX3
  • Nonlinear and spatially heterogenous effects of air pollution and greenspace exposure on chronic respiratory disease mortality in Guangzhou, China

    Open Access•Man Chen, Ye Liu et al.•ARTICLE•Health & Place•2026

  • Exploring the associations between street-view green space quantity and quality, and influenza in Guangzhou, China through machine learning and spatial regression

    Open Access•Ruoyu Wang, Ming-Kun Sun et al.•ARTICLE•Environment and Planning B Urban…•2025

    Existing studies have highlighted that green space is associated with non-communicable diseases. However, scant attention has been paid to the association between green space quantity and quality with communicable diseases. Here, we explore the relationships between green space and influenza cases in Guangzhou, China, using street-view green (SVG) space quantity and SVG-quality indicators, which offer a better assessment of urban green space than…

  • Age‐Friendly Communities and Mortality Risk Among Older Adults in China

    Open Access•Hongyu Chen, G Grekousis et al.•ARTICLE•Health & Social Care in the…•2025•References: 1

    Background: With the progression of aging and urbanization, the relationship between the external environment and health has gained increasing attention. This study examined the association between comprehensive community environments and mortality risk among older adults from a macro‐level perspective. Methods: We used longitudinal data from the 2014–2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS), which includes information on commun…

  • Examining the non-linear association between the built environment around residence and the risk of obesity among children and adolescents at different school stages in Guangzhou and Shenzhen, China

    Open Access•Yiyi Chen, Ye Liu et al.•ARTICLE•Cities•2024•References: 65

  • Detecting older pedestrians and aging-friendly walkability using computer vision technology and street view imagery

    Open Access•Dongwei Liu, Ruoyu Wang et al.•ARTICLE•Computers Environment and Urban…•2023

  • Using geographical random forest models to explore spatial patterns in the neighborhood determinants of hypertension prevalence across chicago, illinois, USA

    Open Access•Aynaz Lotfata, G Grekousis et al.•ARTICLE•Environment and Planning B Urban…•2023

    In the United States, the rise in hypertension prevalence has been connected to neighborhood characteristics. While various studies have found a link between neighborhood and health, they do not evaluate the relative dependence of each component in the growth of hypertension and, more significantly, how this value differs geographically (i.e., across different neighborhoods). This study ranks the contribution of ten socioeconomic neighborhood fac…

  • Ranking the importance of demographic, socioeconomic, and underlying health factors on US Covid-19 deaths

    Open Access•G Grekousis, Zhixin Feng et al.•ARTICLE•Health & Place•2022•Cited by: 7•References: 1

  • Exploring the socioeconomic drivers of Covid-19 mortality across various spatial regimes

    Open Access•G Grekousis, Yi Lü et al.•ARTICLE•Geographical Journal•2022•Cited by: 3•References: 25

    Identifying the socioeconomic drivers of COVID-19 deaths is essential for designing effective policies and health interventions. However, how the significance and impact of these factors varies across different spatial regimes has been scantly explored. In this ecological cross-sectional study, we apply the spatial lag by regimes regression model to examine how the socioeconomic and health determinants of COVID-19 death rate vary across (a) metro…

  • Mapping the geodemographics of racial, economic, health, and Covid-19 deaths inequalities in the conterminous US

    Open Access•G Grekousis, Ruoyu Wang et al.•ARTICLE•Applied Geography•2021

  • Perceptions of built environment and health outcomes for older Chinese in Beijing

    Open Access•Ruoyu Wang, Ye Liu et al.•ARTICLE•Computers Environment and Urban…•2019

  • Neighbourhood greenness and mental wellbeing in Guangzhou, China

    Open Access•Ye Liu, Ruoyu Wang et al.•ARTICLE•Landscape and Urban Planning•2019

  • More Flexible Yet Less Developed? Spatio-Temporal Analysis of Labor Flexibilization and Gross Domestic Product in Crisis-Hit European Union Regions

    Open Access•G Grekousis, Stelios Giali•ARTICLE•Social Indicators Research•2018•Cited by: 4•References: 4

  • Modeling urban evolution using neural networks, fuzzy logic and GIS

    Open Access•G Grekousis, Panos Manetos et al.•ARTICLE•Cities•2013•Cited by: 11•References: 35

  • Modeling urban evolution using neural networks, fuzzy logic and GIS

    Open Access•G Grekousis, Panos Manetos et al.•ARTICLE•Cities•2013•Cited by: 11•References: 35

  • Ranking the importance of demographic, socioeconomic, and underlying health factors on US Covid-19 deaths

    Open Access•G Grekousis, Zhixin Feng et al.•ARTICLE•Health & Place•2022•Cited by: 7•References: 1

  • More Flexible Yet Less Developed? Spatio-Temporal Analysis of Labor Flexibilization and Gross Domestic Product in Crisis-Hit European Union Regions

    Open Access•G Grekousis, Stelios Giali•ARTICLE•Social Indicators Research•2018•Cited by: 4•References: 4

  • Exploring the socioeconomic drivers of Covid-19 mortality across various spatial regimes

    Open Access•G Grekousis, Yi Lü et al.•ARTICLE•Geographical Journal•2022•Cited by: 3•References: 25

    Identifying the socioeconomic drivers of COVID-19 deaths is essential for designing effective policies and health interventions. However, how the significance and impact of these factors varies across different spatial regimes has been scantly explored. In this ecological cross-sectional study, we apply the spatial lag by regimes regression model to examine how the socioeconomic and health determinants of COVID-19 death rate vary across (a) metro…

  • Modeling urban evolution using neural networks, fuzzy logic and GIS

    Open Access•G Grekousis, Panos Manetos et al.•ARTICLE•Cities•2013•Cited by: 11•References: 35

  • More Flexible Yet Less Developed? Spatio-Temporal Analysis of Labor Flexibilization and Gross Domestic Product in Crisis-Hit European Union Regions

    Open Access•G Grekousis, Stelios Giali•ARTICLE•Social Indicators Research•2018•Cited by: 4•References: 4

  • Perceptions of built environment and health outcomes for older Chinese in Beijing

    Open Access•Ruoyu Wang, Ye Liu et al.•ARTICLE•Computers Environment and Urban…•2019

  • Neighbourhood greenness and mental wellbeing in Guangzhou, China

    Open Access•Ye Liu, Ruoyu Wang et al.•ARTICLE•Landscape and Urban Planning•2019

  • Mapping the geodemographics of racial, economic, health, and Covid-19 deaths inequalities in the conterminous US

    Open Access•G Grekousis, Ruoyu Wang et al.•ARTICLE•Applied Geography•2021

  • Ranking the importance of demographic, socioeconomic, and underlying health factors on US Covid-19 deaths

    Open Access•G Grekousis, Zhixin Feng et al.•ARTICLE•Health & Place•2022•Cited by: 7•References: 1

  • Exploring the socioeconomic drivers of Covid-19 mortality across various spatial regimes

    Open Access•G Grekousis, Yi Lü et al.•ARTICLE•Geographical Journal•2022•Cited by: 3•References: 25

    Identifying the socioeconomic drivers of COVID-19 deaths is essential for designing effective policies and health interventions. However, how the significance and impact of these factors varies across different spatial regimes has been scantly explored. In this ecological cross-sectional study, we apply the spatial lag by regimes regression model to examine how the socioeconomic and health determinants of COVID-19 death rate vary across (a) metro…

  • Detecting older pedestrians and aging-friendly walkability using computer vision technology and street view imagery

    Open Access•Dongwei Liu, Ruoyu Wang et al.•ARTICLE•Computers Environment and Urban…•2023

  • Using geographical random forest models to explore spatial patterns in the neighborhood determinants of hypertension prevalence across chicago, illinois, USA

    Open Access•Aynaz Lotfata, G Grekousis et al.•ARTICLE•Environment and Planning B Urban…•2023

    In the United States, the rise in hypertension prevalence has been connected to neighborhood characteristics. While various studies have found a link between neighborhood and health, they do not evaluate the relative dependence of each component in the growth of hypertension and, more significantly, how this value differs geographically (i.e., across different neighborhoods). This study ranks the contribution of ten socioeconomic neighborhood fac…

  • Examining the non-linear association between the built environment around residence and the risk of obesity among children and adolescents at different school stages in Guangzhou and Shenzhen, China

    Open Access•Yiyi Chen, Ye Liu et al.•ARTICLE•Cities•2024•References: 65

  • Exploring the associations between street-view green space quantity and quality, and influenza in Guangzhou, China through machine learning and spatial regression

    Open Access•Ruoyu Wang, Ming-Kun Sun et al.•ARTICLE•Environment and Planning B Urban…•2025

    Existing studies have highlighted that green space is associated with non-communicable diseases. However, scant attention has been paid to the association between green space quantity and quality with communicable diseases. Here, we explore the relationships between green space and influenza cases in Guangzhou, China, using street-view green (SVG) space quantity and SVG-quality indicators, which offer a better assessment of urban green space than…

  • Age‐Friendly Communities and Mortality Risk Among Older Adults in China

    Open Access•Hongyu Chen, G Grekousis et al.•ARTICLE•Health & Social Care in the…•2025•References: 1

    Background: With the progression of aging and urbanization, the relationship between the external environment and health has gained increasing attention. This study examined the association between comprehensive community environments and mortality risk among older adults from a macro‐level perspective. Methods: We used longitudinal data from the 2014–2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS), which includes information on commun…

  • Nonlinear and spatially heterogenous effects of air pollution and greenspace exposure on chronic respiratory disease mortality in Guangzhou, China

    Open Access•Man Chen, Ye Liu et al.•ARTICLE•Health & Place•2026

Geography (11 works) · Medicine (10 works) · Environmental health (7 works) · Sociology (7 works) · China (6 works) · Demography (6 works) · Population (6 works) · Computer Science (5 works) · Health disparities and outcomes (5 works) · Urban Green Space and Health (5 works)

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