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Qijun Zhang

Biographic Data

ID4889686
NAMEQijun Zhang
GIVEN NAMESQijun
FAMILY NAMEZhang
SIGNATUREZHANG Q
AFFILIATIONSNankai University
ORCID0000-0002-2748-4346
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS1
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Sustainable impact of urban road class on smart transportation systems

    Open Access•Bin Sun, Qiang Bai et al.•ARTICLE•Sustainable Cities and Society•2025

  • Sustainable transportation emission reduction through intelligent transportation systems

    Open Access•Zhenyu Jia, Jiawei Yin et al.•ARTICLE•Environmental Impact Assessment…•2025•References: 35

    Intelligent Transportation Speed Guidance Systems (ITSGS) represent a burgeoning solution for sustainable emissions reduction. However, the absence of comprehensive environmental benefits assessment has impeded its advancement. This study analyzes how ITSGS achieves environmental benefits based on spatio-temporal data analysis. A fusion of machine learning-based emission models and extensive real-world trajectory data is utilized to quantify emis…

  • The Chinese Mental Resilience Scale and its psychometric properties

    Open Access•Xin-Yang Sun, Ling-Ming Kong et al.•ARTICLE•Journal of Health Psychology•2016•Cited by: 1•References: 23

    This study aimed to develop a Chinese Mental Resilience Scale. A total of 2500 healthy participants, in two representative samples of the Chinese population, were administered the scale. Exploratory factor analysis, confirmatory factor analysis, and correlation analysis were used to obtain the relevant coefficients and verify the reliability and validity of the scale. Five factors were extracted: willpower, family support, optimism and self-confi…

  • The Chinese Mental Resilience Scale and its psychometric properties

    Open Access•Xin-Yang Sun, Ling-Ming Kong et al.•ARTICLE•Journal of Health Psychology•2016•Cited by: 1•References: 23

    This study aimed to develop a Chinese Mental Resilience Scale. A total of 2500 healthy participants, in two representative samples of the Chinese population, were administered the scale. Exploratory factor analysis, confirmatory factor analysis, and correlation analysis were used to obtain the relevant coefficients and verify the reliability and validity of the scale. Five factors were extracted: willpower, family support, optimism and self-confi…

  • The Chinese Mental Resilience Scale and its psychometric properties

    Open Access•Xin-Yang Sun, Ling-Ming Kong et al.•ARTICLE•Journal of Health Psychology•2016•Cited by: 1•References: 23

    This study aimed to develop a Chinese Mental Resilience Scale. A total of 2500 healthy participants, in two representative samples of the Chinese population, were administered the scale. Exploratory factor analysis, confirmatory factor analysis, and correlation analysis were used to obtain the relevant coefficients and verify the reliability and validity of the scale. Five factors were extracted: willpower, family support, optimism and self-confi…

  • Sustainable impact of urban road class on smart transportation systems

    Open Access•Bin Sun, Qiang Bai et al.•ARTICLE•Sustainable Cities and Society•2025

  • Sustainable transportation emission reduction through intelligent transportation systems

    Open Access•Zhenyu Jia, Jiawei Yin et al.•ARTICLE•Environmental Impact Assessment…•2025•References: 35

    Intelligent Transportation Speed Guidance Systems (ITSGS) represent a burgeoning solution for sustainable emissions reduction. However, the absence of comprehensive environmental benefits assessment has impeded its advancement. This study analyzes how ITSGS achieves environmental benefits based on spatio-temporal data analysis. A fusion of machine learning-based emission models and extensive real-world trajectory data is utilized to quantify emis…

Engineering (2 works) · Environmental planning (2 works) · Geography (2 works) · Sustainability (2 works) · Sustainable transport (2 works) · Traffic Prediction and Management Techniques (2 works) · Transport engineering (2 works) · Vehicle emissions and performance (2 works) · Artificial Intelligence (1 work) · Business (1 work)

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