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Yuan Rong

Biographic Data

ID9417843
NAMEYuan Rong
GIVEN NAMESYuan
FAMILY NAMERong
SIGNATURERONG Y
AFFILIATIONSPeking University
ORCID0000-0001-7576-5276
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Measuring museum sustainability in China: A DSR model-driven approach to empower sustainable development goals (SDGs)

    Open Access•Siyi Wang, Liying Yu et al.•ARTICLE•Humanities and Social Sciences…•2024

    In the past few years, sustainable development has undoubtedly become an essential perspective for museums. Museums have been committed to raising social awareness around ecological conservation and cultural diversity through various exhibitions, education and research projects, and public engagement. However, the concepts, approaches, and practises of “sustainability” differ across nations and regions, and there is a lack of sufficient quantitat…

  • Heterogeneity in within-person relationships between parental support and adolescent meaning in life: A daily-diary study

    Open Access•Rong Yuan, Yuan Rong et al.•ARTICLE•Current Psychology•2024

  • Good can be stronger than bad: The daily relationship among maternal warmth, mother-teen conflict and adolescents’ self-esteem

    Open Access•Yingshengnan Wu, Rong Yuan et al.•ARTICLE•Current Psychology•2023

  • Development and assessment of novel machine learning models to predict medication non-adherence risks in type 2 diabetics

    Open Access•Mengting Li, Xiangyu Lu et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Medication adherence is the main determinant of effective management of type 2 diabetes, yet there is no gold standard method available to screen patients with high-risk non-adherence. Developing machine learning models to predict high-risk non-adherence in patients with T2D could optimize management. Methods: This cross-sectional study was carried out on patients with T2D at the Sichuan Provincial People's Hospital from April 2018 to…

  • Group Decision Making with Transitive Preferences Under Ordinal and Cardinal Consistencies: An Optimization Approach

    Open Access•Zhibin Wu, Rong Yuan et al.•ARTICLE•Group Decision and Negotiation•2021

  • Application of K’o-ssu in Fashion Design for the Ageing Population

    Nan Zhang, Zhang Nan et al.•ARTICLE•Fashion Practice•2021

    Clothing design for Chinese senior citizens is characterized by a lack of innovation and outdated styles with monotonous surface design. Despite the growing population and increasing demands, senior citizens have limited options for their garment. Therefore, we experimented with an innovative method to revive a traditional Chinese handicraft, K’o-ssu, for fashion design for Chinese senior citizens. On the one hand, this meets the aesthetic needs …

No prominent works on this page.

  • Group Decision Making with Transitive Preferences Under Ordinal and Cardinal Consistencies: An Optimization Approach

    Open Access•Zhibin Wu, Rong Yuan et al.•ARTICLE•Group Decision and Negotiation•2021

  • Application of K’o-ssu in Fashion Design for the Ageing Population

    Nan Zhang, Zhang Nan et al.•ARTICLE•Fashion Practice•2021

    Clothing design for Chinese senior citizens is characterized by a lack of innovation and outdated styles with monotonous surface design. Despite the growing population and increasing demands, senior citizens have limited options for their garment. Therefore, we experimented with an innovative method to revive a traditional Chinese handicraft, K’o-ssu, for fashion design for Chinese senior citizens. On the one hand, this meets the aesthetic needs …

  • Development and assessment of novel machine learning models to predict medication non-adherence risks in type 2 diabetics

    Open Access•Mengting Li, Xiangyu Lu et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Medication adherence is the main determinant of effective management of type 2 diabetes, yet there is no gold standard method available to screen patients with high-risk non-adherence. Developing machine learning models to predict high-risk non-adherence in patients with T2D could optimize management. Methods: This cross-sectional study was carried out on patients with T2D at the Sichuan Provincial People's Hospital from April 2018 to…

  • Good can be stronger than bad: The daily relationship among maternal warmth, mother-teen conflict and adolescents’ self-esteem

    Open Access•Yingshengnan Wu, Rong Yuan et al.•ARTICLE•Current Psychology•2023

  • Measuring museum sustainability in China: A DSR model-driven approach to empower sustainable development goals (SDGs)

    Open Access•Siyi Wang, Liying Yu et al.•ARTICLE•Humanities and Social Sciences…•2024

    In the past few years, sustainable development has undoubtedly become an essential perspective for museums. Museums have been committed to raising social awareness around ecological conservation and cultural diversity through various exhibitions, education and research projects, and public engagement. However, the concepts, approaches, and practises of “sustainability” differ across nations and regions, and there is a lack of sufficient quantitat…

  • Heterogeneity in within-person relationships between parental support and adolescent meaning in life: A daily-diary study

    Open Access•Rong Yuan, Yuan Rong et al.•ARTICLE•Current Psychology•2024

Psychology (3 works) · Artificial Intelligence (2 works) · Business (2 works) · Child and Adolescent Psychosocial and Emotional Development (2 works) · Computer Science (2 works) · Developmental psychology (2 works) · Political science (2 works) · Population (2 works) · Social Psychology (2 works) · Sociology (2 works)

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