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Wen Qu

Dados Biográficos

ID5510193
NOMEWen Qu
PRENOMESWen
SOBRENOMEQu
ASSINATURAQU W
AFILIAÇÕESFudan University
ORCID0000-0002-6194-3913
VERIFICADOSim
TOTAL DE OBRAS7
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR7
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1
  • Delineation and development strategies for contiguous rural development units in peri-urban areas with ecological protection context

    Open Access•Tianzi Zhang, Xiji Jiang et al.•ARTICLE•Journal of Rural Studies•2026

  • Governing the Smart City in the Age of AI

    Open Access•Zheng Wang, Zhongyuan Wang et al.•ARTICLE•Journal of Chinese Political…•2026•Referências: 26

  • Comparison of the K1 Rule, Parallel Analysis, and the Bass-Ackward Method on Identifying the Number of Factors in Factor Analysis

    Open Access•Lingbo Tong, Wen Qu et al.•ARTICLE•Fudan Journal of the Humanities…•2025

  • Sample Size Planning and Power Analysis for Detecting Cross-lagged Effects in Longitudinal Studies with Ordinal Outcomes

    Open Access•Sijing Shao, Ziqian Xu et al.•ARTICLE•Fudan Journal of the Humanities…•2025

  • Bayesian Growth Curve Modeling with Measurement Error in Time

    Lijin Zhang, Wen Qu et al.•ARTICLE•Multivariate Behavioral Research•2025

    Growth curve modeling has been widely used in many disciplines to understand the trajectories of growth. Two popular forms utilized in the real-world analyses are the linear and quadratic growth curve models. These models operate on the assumption that measurements are conducted exactly at pre-set time or intervals. In essence, the reliability of these models is deeply tied to the punctuality and consistency of the data collection process. Howeve…

  • Global Justice Index Report 2024

    Open Access•Yanfeng Gu, Sujian Guo et al.•ARTICLE•Chinese Political Science Review•2025•Citada por: 1•Referências: 1

    The Global Justice Index is a multiyear research project of Fudan Institute for Advanced Study in Social Sciences that assesses the contributions made by each country to achieving greater global justice. We have published results for 2010 to 2021 data in Global Justice Index Report (Gu et al., 2020, 2021, 2022, 2023, 2024) and are now presenting our sixth-year of results, covering from 2022 in Global Justice Index Report 2024, which is an updated…

  • Chinese only children and loneliness

    Open Access•Shengjie Lin, Toni Falbo et al.•ARTICLE•American Journal of Orthopsychiatry•2021

    345 and 210, respectively). Results from Studies 2 and 3 consistently showed that, contrary to the stereotype, Chinese only children reported lower levels of loneliness than their counterparts with siblings. Additionally, open-ended responses from the adolescent participants in Study 3 provided hints about the situations that provoke their loneliness. The results are explained in terms of the two theoretical approaches to loneliness. In sum, our …

  • Global Justice Index Report 2024

    Open Access•Yanfeng Gu, Sujian Guo et al.•ARTICLE•Chinese Political Science Review•2025•Citada por: 1•Referências: 1

    The Global Justice Index is a multiyear research project of Fudan Institute for Advanced Study in Social Sciences that assesses the contributions made by each country to achieving greater global justice. We have published results for 2010 to 2021 data in Global Justice Index Report (Gu et al., 2020, 2021, 2022, 2023, 2024) and are now presenting our sixth-year of results, covering from 2022 in Global Justice Index Report 2024, which is an updated…

  • Chinese only children and loneliness

    Open Access•Shengjie Lin, Toni Falbo et al.•ARTICLE•American Journal of Orthopsychiatry•2021

    345 and 210, respectively). Results from Studies 2 and 3 consistently showed that, contrary to the stereotype, Chinese only children reported lower levels of loneliness than their counterparts with siblings. Additionally, open-ended responses from the adolescent participants in Study 3 provided hints about the situations that provoke their loneliness. The results are explained in terms of the two theoretical approaches to loneliness. In sum, our …

  • Comparison of the K1 Rule, Parallel Analysis, and the Bass-Ackward Method on Identifying the Number of Factors in Factor Analysis

    Open Access•Lingbo Tong, Wen Qu et al.•ARTICLE•Fudan Journal of the Humanities…•2025

  • Sample Size Planning and Power Analysis for Detecting Cross-lagged Effects in Longitudinal Studies with Ordinal Outcomes

    Open Access•Sijing Shao, Ziqian Xu et al.•ARTICLE•Fudan Journal of the Humanities…•2025

  • Bayesian Growth Curve Modeling with Measurement Error in Time

    Lijin Zhang, Wen Qu et al.•ARTICLE•Multivariate Behavioral Research•2025

    Growth curve modeling has been widely used in many disciplines to understand the trajectories of growth. Two popular forms utilized in the real-world analyses are the linear and quadratic growth curve models. These models operate on the assumption that measurements are conducted exactly at pre-set time or intervals. In essence, the reliability of these models is deeply tied to the punctuality and consistency of the data collection process. Howeve…

  • Global Justice Index Report 2024

    Open Access•Yanfeng Gu, Sujian Guo et al.•ARTICLE•Chinese Political Science Review•2025•Citada por: 1•Referências: 1

    The Global Justice Index is a multiyear research project of Fudan Institute for Advanced Study in Social Sciences that assesses the contributions made by each country to achieving greater global justice. We have published results for 2010 to 2021 data in Global Justice Index Report (Gu et al., 2020, 2021, 2022, 2023, 2024) and are now presenting our sixth-year of results, covering from 2022 in Global Justice Index Report 2024, which is an updated…

  • Delineation and development strategies for contiguous rural development units in peri-urban areas with ecological protection context

    Open Access•Tianzi Zhang, Xiji Jiang et al.•ARTICLE•Journal of Rural Studies•2026

  • Governing the Smart City in the Age of AI

    Open Access•Zheng Wang, Zhongyuan Wang et al.•ARTICLE•Journal of Chinese Political…•2026•Referências: 26

Computer Science (3 obras) · Econometrics (2 obras) · Mathematics (2 obras) · Psychology (2 obras) · Sociology (2 obras) · Statistics (2 obras) · Advanced Causal Inference Techniques (1 obras) · Advanced Statistical Modeling Techniques (1 obras) · Bayesian inference (1 obras) · Bayesian probability (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae