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Ning Xiong

Biographic Data

ID3934774
NAMENing Xiong
GIVEN NAMESNing
FAMILY NAMEXiong
SIGNATUREXIONG N
AFFILIATIONSUniversity of Utah
ORCID0000-0001-9857-4317
VERIFIEDYes
TOTAL WORKS10
TOTAL CITATIONS1
AUTHOR COUNT10
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Urban sprawl, natural environments, and mortality inequality

    Open Access•Y D Wei, Yu Wang et al.•ARTICLE•Applied Geography•2026

    Mortality patterns exhibit substantial spatial variation, yet potential geographic influences are not well-understood. This study develops an integrated framework to investigate how urban sprawl and natural environments contribute to county-level all-cause mortality risk and to examine intergenerational mobility (IM) as a mediator. The analysis incorporates machine learning and spatial regression methods with U.S. county data. Using a small-area …

  • Neighborhood walkability and intergenerational mobility

    Open Access•Y D Wei, Ning Xiong•ARTICLE•Sustainable Cities and Society•2026

  • Racial/ethnic disparities in neighborhood physical activity environments

    Open Access•Ning Xiong, Neng Wan et al.•ARTICLE•SSM - Population Health•2026

    Native Hawaiian and Other Pacific Islander (NHPI) populations have often been overlooked in health equity research due to their aggregation with Asian Americans. This study compares associations of NHPI and Asian population proportions with physical activity environments (PAEs) at the census tract level across the contiguous U.S., Hawaii, and Alaska, using 2020 Census and 2018 neighborhood data. We analyze four PAE domains—built environment, phys…

  • Urban Sprawl and Subjective Well-Being

    Yu Wang, Y D Wei et al.•ARTICLE•Annals of the American…•2025•References: 65

    Subjective well-being (SWB) has recently gained significant attention as an important indicator of measuring quality of life. Based on the Twitter Sentiment Geographical Index, this study analyzes the spatial distribution characteristic of county-level SWB across the United States. We apply multiple linear regression, structural equation modeling (SEM), and geographically weighted SEM to identify the overall effects of urban sprawl on SWB, examin…

  • Neighborhood intergenerational mobility and population health inequality

    Open Access•Ning Xiong, Y D Wei et al.•ARTICLE•Health & Place•2025•References: 8

  • Teleworking, social capital, and subjective well-being

    Open Access•Yu Wang, Y D Wei et al.•ARTICLE•Cities•2025•References: 5

  • Economic inequality, intergenerational mobility, and life expectancy

    Open Access•Ning Xiong, Y D Wei•ARTICLE•Social Science & Medicine•2025•Cited by: 1•References: 64

  • Neighborhood environment, socioeconomic conditions, and intergenerational mobility

    Open Access•Y D Wei, Ning Xiong•ARTICLE•Cities•2024•References: 77

  • Urban space, sprawl, and intergenerational mobility

    Open Access•Y D Wei, Ning Xiong et al.•ARTICLE•Applied Geography•2023

  • Tech firm births and agglomeration economies

    Open Access•Ning Xiong, Y D Wei et al.•ARTICLE•Cities•2023•References: 65

  • Economic inequality, intergenerational mobility, and life expectancy

    Open Access•Ning Xiong, Y D Wei•ARTICLE•Social Science & Medicine•2025•Cited by: 1•References: 64

  • Urban space, sprawl, and intergenerational mobility

    Open Access•Y D Wei, Ning Xiong et al.•ARTICLE•Applied Geography•2023

  • Tech firm births and agglomeration economies

    Open Access•Ning Xiong, Y D Wei et al.•ARTICLE•Cities•2023•References: 65

  • Neighborhood environment, socioeconomic conditions, and intergenerational mobility

    Open Access•Y D Wei, Ning Xiong•ARTICLE•Cities•2024•References: 77

  • Urban Sprawl and Subjective Well-Being

    Yu Wang, Y D Wei et al.•ARTICLE•Annals of the American…•2025•References: 65

    Subjective well-being (SWB) has recently gained significant attention as an important indicator of measuring quality of life. Based on the Twitter Sentiment Geographical Index, this study analyzes the spatial distribution characteristic of county-level SWB across the United States. We apply multiple linear regression, structural equation modeling (SEM), and geographically weighted SEM to identify the overall effects of urban sprawl on SWB, examin…

  • Neighborhood intergenerational mobility and population health inequality

    Open Access•Ning Xiong, Y D Wei et al.•ARTICLE•Health & Place•2025•References: 8

  • Teleworking, social capital, and subjective well-being

    Open Access•Yu Wang, Y D Wei et al.•ARTICLE•Cities•2025•References: 5

  • Economic inequality, intergenerational mobility, and life expectancy

    Open Access•Ning Xiong, Y D Wei•ARTICLE•Social Science & Medicine•2025•Cited by: 1•References: 64

  • Urban sprawl, natural environments, and mortality inequality

    Open Access•Y D Wei, Yu Wang et al.•ARTICLE•Applied Geography•2026

    Mortality patterns exhibit substantial spatial variation, yet potential geographic influences are not well-understood. This study develops an integrated framework to investigate how urban sprawl and natural environments contribute to county-level all-cause mortality risk and to examine intergenerational mobility (IM) as a mediator. The analysis incorporates machine learning and spatial regression methods with U.S. county data. Using a small-area …

  • Neighborhood walkability and intergenerational mobility

    Open Access•Y D Wei, Ning Xiong•ARTICLE•Sustainable Cities and Society•2026

  • Racial/ethnic disparities in neighborhood physical activity environments

    Open Access•Ning Xiong, Neng Wan et al.•ARTICLE•SSM - Population Health•2026

    Native Hawaiian and Other Pacific Islander (NHPI) populations have often been overlooked in health equity research due to their aggregation with Asian Americans. This study compares associations of NHPI and Asian population proportions with physical activity environments (PAEs) at the census tract level across the contiguous U.S., Hawaii, and Alaska, using 2020 Census and 2018 neighborhood data. We analyze four PAE domains—built environment, phys…

Health disparities and outcomes (7 works) · Economics (5 works) · Geography (5 works) · Population (5 works) · Sociology (5 works) · Urban Transport and Accessibility (5 works) · Urban, Neighborhood, and Segregation Studies (5 works) · Demographic economics (4 works) · Demography (4 works) · Economic geography (4 works)

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