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Yaoli Wang

Datos Biográficos

ID3635873
NOMBREYaoli Wang
NOMBRESYaoli
APELLIDOWang
FIRMAWANG Y
AFILIACIONESPeking University
ORCID0000-0002-6815-7616
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS9
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2013
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H1
  • Early medical care and trauma management in mass casualties from major explosive accidents

    Open Access•Zhengbin Wu, Jun Liu et al.•ARTICLE•Frontiers in Public Health•2025

    Objective: This study aims to analyze the clinical characteristics and treatment outcomes of mass casualties resulting from major explosive accidents and to identify the shortcomings in the management of such casualties during sudden explosive events. Methods: A retrospective analysis was conducted on data from a gas explosion at a cafeteria in a district of Southwest China. Key treatment measures, including injury assessments, early triage, timi…

  • Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks

    Di Zhu, Fan Zhang et al.•ARTICLE•Annals of the American…•2020•Citada por: 9•Referencias: 29

    Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and the metrics for place connections can be diverse, it is challenging to incorporate them in a spatial prediction task where the results could be affected by how the neighborhoods are delineated and where the true relevance among places is hard to identi…

  • Collaborative activity-based ridesharing

    Open Access•Yaoli Wang, Stephan Winter et al.•ARTICLE•Journal of Transport Geography•2018•Referencias: 5

  • Discovering Spatial Interaction Communities from Mobile Phone D ata

    Open Access•Song Gao, Yu Liu et al.•ARTICLE•Transactions in GIS•2013

    In the age of B ig D ata, the widespread use of location‐awareness technologies has made it possible to collect spatio‐temporal interaction data for analyzing flow patterns in both physical space and cyberspace. This research attempts to explore and interpret patterns embedded in the network of phone‐call interaction and the network of phone‐users’ movements, by considering the geographical context of mobile phone cells. We adopt an agglomerative…

  • Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks

    Di Zhu, Fan Zhang et al.•ARTICLE•Annals of the American…•2020•Citada por: 9•Referencias: 29

    Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and the metrics for place connections can be diverse, it is challenging to incorporate them in a spatial prediction task where the results could be affected by how the neighborhoods are delineated and where the true relevance among places is hard to identi…

  • Discovering Spatial Interaction Communities from Mobile Phone D ata

    Open Access•Song Gao, Yu Liu et al.•ARTICLE•Transactions in GIS•2013

    In the age of B ig D ata, the widespread use of location‐awareness technologies has made it possible to collect spatio‐temporal interaction data for analyzing flow patterns in both physical space and cyberspace. This research attempts to explore and interpret patterns embedded in the network of phone‐call interaction and the network of phone‐users’ movements, by considering the geographical context of mobile phone cells. We adopt an agglomerative…

  • Collaborative activity-based ridesharing

    Open Access•Yaoli Wang, Stephan Winter et al.•ARTICLE•Journal of Transport Geography•2018•Referencias: 5

  • Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks

    Di Zhu, Fan Zhang et al.•ARTICLE•Annals of the American…•2020•Citada por: 9•Referencias: 29

    Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and the metrics for place connections can be diverse, it is challenging to incorporate them in a spatial prediction task where the results could be affected by how the neighborhoods are delineated and where the true relevance among places is hard to identi…

  • Early medical care and trauma management in mass casualties from major explosive accidents

    Open Access•Zhengbin Wu, Jun Liu et al.•ARTICLE•Frontiers in Public Health•2025

    Objective: This study aims to analyze the clinical characteristics and treatment outcomes of mass casualties resulting from major explosive accidents and to identify the shortcomings in the management of such casualties during sudden explosive events. Methods: A retrospective analysis was conducted on data from a gas explosion at a cafeteria in a district of Southwest China. Key treatment measures, including injury assessments, early triage, timi…

Computer Science (3 obras) · Human Mobility and Location-Based Analysis (3 obras) · Engineering (2 obras) · Geography (2 obras) · Mathematics (2 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence (1 obras) · Cluster analysis (1 obras) · Complex Network Analysis Techniques (1 obras) · Context (archaeology) (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