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Lixiang Zhang

Biographic Data

ID4442889
NAMELixiang Zhang
GIVEN NAMESLixiang
FAMILY NAMEZhang
SIGNATUREZHANG L
AFFILIATIONSSchool of Agricultural Economics and Rural Development Renmin University of China Beijing People's Republic of China
ORCID0000-0002-9139-1064
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS2
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Can polycentricity lead to co-prosperity? The impact of polycentric urban structure on urban-rural integration

    Open Access•Zequn Dong, Yinuo Zhao et al.•ARTICLE•Cities•2026

  • Towards Sustainable Development

    Open Access•Chunhua Yin, Chunfeng Yin et al.•ARTICLE•Sustainable Development•2026•References: 6

    Identifying the spatial correlation and driving factors of food security between countries or regions has become an important aspect to promote sustainable development. This paper takes China, a major food trading nation, as a research sample, utilizing provincial panel data from 2001 to 2020. It employs methods such as entropy weighting, radar chart area model calculation method, modified gravity model, social network analysis (SNA), and quadrat…

  • Development and validation of a hyperlipidemia risk prediction model for middle-aged and older adult Chinese using 2015 CHARLS data

    Open Access•Lixiang Zhang, Li-xiang Zhang et al.•ARTICLE•Frontiers in Public Health•2025

    Objective To develop and validate a predictive model for hyperlipidemia risk among middle-aged and older adult individuals in China, this study aims to offer an effective screening tool for identifying those at risk. Methods In this study, we included 6,629 middle-aged and older adult individuals, aged 45 and above, who met the inclusion criteria from the 2015 China Health and Retirement Longitudinal Study (CHARLS) as our research subjects. Utili…

  • Activating the income increase effect of geographical indications

    Open Access•Jie Wang, Zequn Dong et al.•ARTICLE•Journal of Rural Studies•2025•Cited by: 2•References: 4

  • The effective use of camera traps to document the northernmost distribution of the western black crested gibbon in China

    Open Access•Yi-Hao Fang, Yihao Fang et al.•ARTICLE•Primates•2020

  • Distribution and conservation status of Rhinopithecus strykeri in China

    Open Access•Chi Ma, Ma Chi et al.•ARTICLE•Primates•2014

  • Activating the income increase effect of geographical indications

    Open Access•Jie Wang, Zequn Dong et al.•ARTICLE•Journal of Rural Studies•2025•Cited by: 2•References: 4

  • Distribution and conservation status of Rhinopithecus strykeri in China

    Open Access•Chi Ma, Ma Chi et al.•ARTICLE•Primates•2014

  • The effective use of camera traps to document the northernmost distribution of the western black crested gibbon in China

    Open Access•Yi-Hao Fang, Yihao Fang et al.•ARTICLE•Primates•2020

  • Development and validation of a hyperlipidemia risk prediction model for middle-aged and older adult Chinese using 2015 CHARLS data

    Open Access•Lixiang Zhang, Li-xiang Zhang et al.•ARTICLE•Frontiers in Public Health•2025

    Objective To develop and validate a predictive model for hyperlipidemia risk among middle-aged and older adult individuals in China, this study aims to offer an effective screening tool for identifying those at risk. Methods In this study, we included 6,629 middle-aged and older adult individuals, aged 45 and above, who met the inclusion criteria from the 2015 China Health and Retirement Longitudinal Study (CHARLS) as our research subjects. Utili…

  • Activating the income increase effect of geographical indications

    Open Access•Jie Wang, Zequn Dong et al.•ARTICLE•Journal of Rural Studies•2025•Cited by: 2•References: 4

  • Can polycentricity lead to co-prosperity? The impact of polycentric urban structure on urban-rural integration

    Open Access•Zequn Dong, Yinuo Zhao et al.•ARTICLE•Cities•2026

  • Towards Sustainable Development

    Open Access•Chunhua Yin, Chunfeng Yin et al.•ARTICLE•Sustainable Development•2026•References: 6

    Identifying the spatial correlation and driving factors of food security between countries or regions has become an important aspect to promote sustainable development. This paper takes China, a major food trading nation, as a research sample, utilizing provincial panel data from 2001 to 2020. It employs methods such as entropy weighting, radar chart area model calculation method, modified gravity model, social network analysis (SNA), and quadrat…

Animal ecology (2 works) · Biology (2 works) · Centrality (2 works) · China (2 works) · Critically endangered (2 works) · Demography (2 works) · Ecology (2 works) · Endangered species (2 works) · Geography (2 works) · Habitat (2 works)

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