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Yingjing Huang

Datos Biográficos

ID4418273
NOMBREYingjing Huang
NOMBRESYingjing
APELLIDOHuang
FIRMAHUANG Y
AFILIACIONESPeking University
ORCID0000-0002-8772-1403
VERIFICADOSí
TOTAL DE OBRAS5
TOTAL DE CITAS2
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2020
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H1
  • Learning street view representations based on a spatiotemporal contrastive learning framework

    Open Access•Yong Li, Yingjing Huang et al.•ARTICLE•Computers Environment and Urban…•2026•Referencias: 23

  • Evaluating Urban Greenery Through the Front-Facing Street View Imagery

    Open Access•Jin Zhu, Yingjing Huang et al.•ARTICLE•ISPRS International Journal of…•2025

    Street view imagery has become a vital tool for assessing urban street greenery, with the Green View Index (GVI) serving as the predominant metric. However, while GVI effectively quantifies overall greenery, it fails to capture the nuanced, human-scale experience of urban greenery. This study introduces the Front-Facing Green View Index (FFGVI), a metric designed to reflect the perspective of pedestrians traversing urban streets. The FFGVI comput…

  • Measuring urban physical environments using image deep features

    Open Access•Yingjing Huang, Fan Zhang et al.•ARTICLE•Cities•2025•Citada por: 1•Referencias: 1

  • Comprehensive urban space representation with varying numbers of street-level images

    Open Access•Yingjing Huang, Fan Zhang et al.•ARTICLE•Computers Environment and Urban…•2023

  • Quantifying the bias in place emotion extracted from photos on social networking sites

    Open Access•Yingjing Huang, Jun Li et al.•ARTICLE•Cities•2020•Citada por: 1•Referencias: 41

  • Measuring urban physical environments using image deep features

    Open Access•Yingjing Huang, Fan Zhang et al.•ARTICLE•Cities•2025•Citada por: 1•Referencias: 1

  • Quantifying the bias in place emotion extracted from photos on social networking sites

    Open Access•Yingjing Huang, Jun Li et al.•ARTICLE•Cities•2020•Citada por: 1•Referencias: 41

  • Quantifying the bias in place emotion extracted from photos on social networking sites

    Open Access•Yingjing Huang, Jun Li et al.•ARTICLE•Cities•2020•Citada por: 1•Referencias: 41

  • Comprehensive urban space representation with varying numbers of street-level images

    Open Access•Yingjing Huang, Fan Zhang et al.•ARTICLE•Computers Environment and Urban…•2023

  • Evaluating Urban Greenery Through the Front-Facing Street View Imagery

    Open Access•Jin Zhu, Yingjing Huang et al.•ARTICLE•ISPRS International Journal of…•2025

    Street view imagery has become a vital tool for assessing urban street greenery, with the Green View Index (GVI) serving as the predominant metric. However, while GVI effectively quantifies overall greenery, it fails to capture the nuanced, human-scale experience of urban greenery. This study introduces the Front-Facing Green View Index (FFGVI), a metric designed to reflect the perspective of pedestrians traversing urban streets. The FFGVI comput…

  • Measuring urban physical environments using image deep features

    Open Access•Yingjing Huang, Fan Zhang et al.•ARTICLE•Cities•2025•Citada por: 1•Referencias: 1

  • Learning street view representations based on a spatiotemporal contrastive learning framework

    Open Access•Yong Li, Yingjing Huang et al.•ARTICLE•Computers Environment and Urban…•2026•Referencias: 23

Human Mobility and Location-Based Analysis (3 obras) · Artificial Intelligence (2 obras) · Cartography (2 obras) · Computer Science (2 obras) · Computer vision (2 obras) · Geography (2 obras) · Impact of Light on Environment and Health (2 obras) · Land Use and Ecosystem Services (2 obras) · Video Surveillance and Tracking Methods (2 obras) · Automated Road and Building Extraction (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae