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Qiang Qi

Biographic Data

ID127498
NAMEQiang Qi
GIVEN NAMESQiang
FAMILY NAMEQi
SIGNATUREQI Q
AFFILIATIONSState Administration of Cultural Heritage
ORCID0000-0002-0142-0360
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS1
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Identifying risk factors for depression and positive/negative mood changes in college students using machine learning

    Open Access•Qiang Qi, Qi Qiang et al.•ARTICLE•Frontiers in Public Health•2025

    Background: In this study, machine learning was used to assess the prediction of the magnitude of depression changes in college students based on various psychological variable information. Methods: A group of college students from a certain school completed two assessments in October 2021 and March 2022, respectively. We collected baseline levels of depression, demographic variables, parenting styles, college students' mental health information,…

  • Characterization of spatial and chrono-cultural evolution of earthen sites construction technology in China based on GIS

    Open Access•Zhiqian Guo, Qiang Qi et al.•ARTICLE•Archaeological and Anthropological…•2025•References: 31

  • Study on the characterization of differential weathering feature based on surface roughness theory and 3D laser scanning

    Open Access•Z Guo, Qiang Qi et al.•ARTICLE•Journal of Cultural Heritage•2023•Cited by: 1

  • Study on the characterization of differential weathering feature based on surface roughness theory and 3D laser scanning

    Open Access•Z Guo, Qiang Qi et al.•ARTICLE•Journal of Cultural Heritage•2023•Cited by: 1

  • Study on the characterization of differential weathering feature based on surface roughness theory and 3D laser scanning

    Open Access•Z Guo, Qiang Qi et al.•ARTICLE•Journal of Cultural Heritage•2023•Cited by: 1

  • Identifying risk factors for depression and positive/negative mood changes in college students using machine learning

    Open Access•Qiang Qi, Qi Qiang et al.•ARTICLE•Frontiers in Public Health•2025

    Background: In this study, machine learning was used to assess the prediction of the magnitude of depression changes in college students based on various psychological variable information. Methods: A group of college students from a certain school completed two assessments in October 2021 and March 2022, respectively. We collected baseline levels of depression, demographic variables, parenting styles, college students' mental health information,…

  • Characterization of spatial and chrono-cultural evolution of earthen sites construction technology in China based on GIS

    Open Access•Zhiqian Guo, Qiang Qi et al.•ARTICLE•Archaeological and Anthropological…•2025•References: 31

Geology (2 works) · Applied Psychology (1 works) · Archaeology (1 works) · Biology (1 works) · Building materials and conservation (1 works) · China (1 works) · Clinical Psychology (1 works) · Composite material (1 works) · Computer Science (1 works) · Conservation Techniques and Studies (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae