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Junjie Cao

Biographic Data

ID6536476
NAMEJunjie Cao
GIVEN NAMESJunjie
FAMILY NAMECao
SIGNATURECAO J
AFFILIATIONSPeking University, Wangxuan Institute of Computer Technology. [email protected]
ORCID0000-0002-7431-7516
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Unmanned aerial vehicles in prehospital emergency care

    Open Access•Yanguoer Zhang, Junjie Cao et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Timely prehospital intervention is essential for improving patient outcomes, yet conventional ambulance-based systems often face delays in remote, congested, or disaster-affected settings. Unmanned aerial vehicles (UAVs) offer a novel, traffic-independent solution with high operational flexibility and rapid deployment capacity. This review aims to summarize current evidence, technological progress, and future challenges of UAVs applic…

  • The association between perceive social support and post-traumatic stress disorder symptoms among medical staff in Hubei, China

    Open Access•Jun Cao, Junjie Cao et al.•ARTICLE•BMC Public Health•2024

    Perceived social support has significant direct and indirect effects on Post-traumatic stress disorder symptoms and resilience. In addition, positive coping style act as chain mediators between perceived social support and Post-traumatic stress disorder symptoms. We suggest that strengthening perceived social support for medical staff can enhance their resilience, encouraging them to adopt positive coping, which in turn reduces the level of post-…

  • Temporal–Spatial Evolution and Influencing Factors of Coordinated Development of the Population, Resources, Economy and Environment (PREE) System

    Open Access•Junjie Cao, Yao Zhang et al.•ARTICLE•International Journal of…•2021

    Facing the increasingly severe friction among the domains of population, resources, economy and environment (PREE) in a system, theoretical guidance for the sustainable development of a PREE system can be obtained by exploring the coordinated development of a PREE system during its temporal-spatial evolution process. Based on the PREE data of 31 provinces in China from 2010 to 2019, this study uses a spatial measurement method to analyze the temp…

  • Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing

    Open Access•Junjie Cao, Zi Lin et al.•ARTICLE•Computational Linguistics•2021•References: 1

    In this work, we present a phenomenon-oriented comparative analysis of the two dominant approaches in English Resource Semantic (ERS) parsing: classic, knowledge-intensive and neural, data-intensive models. To reflect state-of-the-art neural NLP technologies, a factorization-based parser is introduced that can produce Elementary Dependency Structures much more accurately than previous data-driven parsers. We conduct a suite of tests for different…

No prominent works on this page.

  • Temporal–Spatial Evolution and Influencing Factors of Coordinated Development of the Population, Resources, Economy and Environment (PREE) System

    Open Access•Junjie Cao, Yao Zhang et al.•ARTICLE•International Journal of…•2021

    Facing the increasingly severe friction among the domains of population, resources, economy and environment (PREE) in a system, theoretical guidance for the sustainable development of a PREE system can be obtained by exploring the coordinated development of a PREE system during its temporal-spatial evolution process. Based on the PREE data of 31 provinces in China from 2010 to 2019, this study uses a spatial measurement method to analyze the temp…

  • Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing

    Open Access•Junjie Cao, Zi Lin et al.•ARTICLE•Computational Linguistics•2021•References: 1

    In this work, we present a phenomenon-oriented comparative analysis of the two dominant approaches in English Resource Semantic (ERS) parsing: classic, knowledge-intensive and neural, data-intensive models. To reflect state-of-the-art neural NLP technologies, a factorization-based parser is introduced that can produce Elementary Dependency Structures much more accurately than previous data-driven parsers. We conduct a suite of tests for different…

  • The association between perceive social support and post-traumatic stress disorder symptoms among medical staff in Hubei, China

    Open Access•Jun Cao, Junjie Cao et al.•ARTICLE•BMC Public Health•2024

    Perceived social support has significant direct and indirect effects on Post-traumatic stress disorder symptoms and resilience. In addition, positive coping style act as chain mediators between perceived social support and Post-traumatic stress disorder symptoms. We suggest that strengthening perceived social support for medical staff can enhance their resilience, encouraging them to adopt positive coping, which in turn reduces the level of post-…

  • Unmanned aerial vehicles in prehospital emergency care

    Open Access•Yanguoer Zhang, Junjie Cao et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Timely prehospital intervention is essential for improving patient outcomes, yet conventional ambulance-based systems often face delays in remote, congested, or disaster-affected settings. Unmanned aerial vehicles (UAVs) offer a novel, traffic-independent solution with high operational flexibility and rapid deployment capacity. This review aims to summarize current evidence, technological progress, and future challenges of UAVs applic…

China (2 works) · Artificial Intelligence (1 work) · Association (psychology (1 work) · Biostatistics (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Competence (human resources (1 work) · Computer Science (1 work) · Coping (psychology (1 work) · COVID-19 and Mental Health (1 work)

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