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Yingjie Wu

Biographic Data

ID4418357
NAMEYingjie Wu
GIVEN NAMESYingjie
FAMILY NAMEWu
SIGNATUREWU Y
AFFILIATIONSChina Institute of Water Resources and Hydropower Research
ORCID0000-0003-3075-7584
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS3
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Research on the cross-campus unsafe cycling behavior of university students based on cycling habits and risk perception

    Open Access•Yingjie Wu, Tingting Hu et al.•ARTICLE•Frontiers in Public Health•2026

    Cross-campus cycling among university students is increasingly common, yet unsafe cycling behaviors pose significant safety risks. Existing studies have rarely examined the combined roles of cycling habits and risk perception within a unified theoretical framework. This study aims to investigate the influencing mechanisms of unsafe cycling behavior among cross-campus university students based on an extended social-psychological model. An improved…

  • The impact of tenancy control on housing precarity in Hong Kong: A panel study of subdivided unit residents

    Open Access•Siu Ming Chan, Siu-Ming Chan et al.•ARTICLE•Cities•2024•Cited by: 1•References: 2

  • Remote sensing‐based retrieval of soil moisture content using stacking ensemble learning models

    Open Access•Sinan Wang, Yingjie Wu et al.•ARTICLE•Land Degradation and Development•2023

    Machine learning combined with multisource remote sensing data to assess soil moisture content (SMC) has attracted considerable attention in SMC studies, but the retrieval results still remain uncertain. The purpose of this study is to combine multiple single machine learning models with integrated learning algorithms and propose an SMC retrieval method based on multiple differentiated models under a stacking integrated learning architecture. Fir…

  • Paiteling induces apoptosis of cervical cancer cells by down-regulation of the E6/E7-Pi3k/Akt pathway: A network pharmacology

    Open Access•Yunhua Liu, Pengfei Zheng et al.•ARTICLE•Journal of Ethnopharmacology•2023

  • Effects of a changing climate and anthropogenic impacts on net primary production in Yinshanbeilu, Inner Mongolia, China

    Open Access•Sinan Wang, Wenjun Wang et al.•ARTICLE•Environmental Impact Assessment…•2023•Cited by: 2•References: 52

  • Analysis of variation in reference evapotranspiration and its driving factors in mainland China from 1960 to 2016

    Open Access•Dong Wu, Shibo Fang et al.•ARTICLE•Environmental Research Letters•2021

    Understanding the variation in reference evapotranspiration (ET o ) is vital for hydrological cycles, drought monitoring, and water resource management. With 1507 meteorological stations and 130 radiation-measured stations, the annual and seasonal ET o were calculated at each site from 1960 to 2016 in mainland China. The phenomenon of coefficient ‘ a ’ being less than 0.25 and coefficient ‘ b ’ being greater than 0.50 in the Angstrom–Prescott mod…

  • Effects of a changing climate and anthropogenic impacts on net primary production in Yinshanbeilu, Inner Mongolia, China

    Open Access•Sinan Wang, Wenjun Wang et al.•ARTICLE•Environmental Impact Assessment…•2023•Cited by: 2•References: 52

  • The impact of tenancy control on housing precarity in Hong Kong: A panel study of subdivided unit residents

    Open Access•Siu Ming Chan, Siu-Ming Chan et al.•ARTICLE•Cities•2024•Cited by: 1•References: 2

  • Analysis of variation in reference evapotranspiration and its driving factors in mainland China from 1960 to 2016

    Open Access•Dong Wu, Shibo Fang et al.•ARTICLE•Environmental Research Letters•2021

    Understanding the variation in reference evapotranspiration (ET o ) is vital for hydrological cycles, drought monitoring, and water resource management. With 1507 meteorological stations and 130 radiation-measured stations, the annual and seasonal ET o were calculated at each site from 1960 to 2016 in mainland China. The phenomenon of coefficient ‘ a ’ being less than 0.25 and coefficient ‘ b ’ being greater than 0.50 in the Angstrom–Prescott mod…

  • Remote sensing‐based retrieval of soil moisture content using stacking ensemble learning models

    Open Access•Sinan Wang, Yingjie Wu et al.•ARTICLE•Land Degradation and Development•2023

    Machine learning combined with multisource remote sensing data to assess soil moisture content (SMC) has attracted considerable attention in SMC studies, but the retrieval results still remain uncertain. The purpose of this study is to combine multiple single machine learning models with integrated learning algorithms and propose an SMC retrieval method based on multiple differentiated models under a stacking integrated learning architecture. Fir…

  • Paiteling induces apoptosis of cervical cancer cells by down-regulation of the E6/E7-Pi3k/Akt pathway: A network pharmacology

    Open Access•Yunhua Liu, Pengfei Zheng et al.•ARTICLE•Journal of Ethnopharmacology•2023

  • Effects of a changing climate and anthropogenic impacts on net primary production in Yinshanbeilu, Inner Mongolia, China

    Open Access•Sinan Wang, Wenjun Wang et al.•ARTICLE•Environmental Impact Assessment…•2023•Cited by: 2•References: 52

  • The impact of tenancy control on housing precarity in Hong Kong: A panel study of subdivided unit residents

    Open Access•Siu Ming Chan, Siu-Ming Chan et al.•ARTICLE•Cities•2024•Cited by: 1•References: 2

  • Research on the cross-campus unsafe cycling behavior of university students based on cycling habits and risk perception

    Open Access•Yingjie Wu, Tingting Hu et al.•ARTICLE•Frontiers in Public Health•2026

    Cross-campus cycling among university students is increasingly common, yet unsafe cycling behaviors pose significant safety risks. Existing studies have rarely examined the combined roles of cycling habits and risk perception within a unified theoretical framework. This study aims to investigate the influencing mechanisms of unsafe cycling behavior among cross-campus university students based on an extended social-psychological model. An improved…

Environmental Science (3 works) · Geography (2 works) · Geology (2 works) · Physical geography (2 works) · Plant Water Relations and Carbon Dynamics (2 works) · Agriculture (1 works) · Agroforestry (1 works) · Apoptosis (1 works) · Arable land (1 works) · Artificial Intelligence (1 works)

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