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Xinyi Song

Biographic Data

ID7699830
NAMEXinyi Song
GIVEN NAMESXinyi
FAMILY NAMESong
SIGNATURESONG X
AFFILIATIONSShanghai Jiao Tong University
ORCID0000-0003-1741-4747
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Uncovering the effect of Gen AI-assisted learning on students’ creativity: A meta-analysis from quasi-experimental evidence

    Open Access•Huanyou Chai, Fangqi Guo et al.•ARTICLE•Thinking Skills and Creativity•2026

  • Associations Between Big Five Personality Traits and Cognitive, Affective, and Behavioral Outcomes in Online Learning: A Three-Level Meta-Analysis

    Open Access•Huanyou Chai, Xinyi Song et al.•ARTICLE•Educational Psychology Review•2026

  • Profiles of learner interactions in synchronous and asynchronous online discussions: Relationships with emotional and cognitive engagement and learning performance

    Open Access•Xinyi Song, Haimei Zhang et al.•ARTICLE•Interactive Learning Environments•2026

    Learner interactions, which occurs both synchronously and asynchronously, play an important role in the success of online education. A clear understanding of interaction pattern is crucial for refining instructional support and enhancing learning assessment. This study aims to identify and characterize learner types based on their synchronous and asynchronous interaction behaviors using social network analysis, cluster analysis, and content analy…

  • Identifying and developing culturally relevant EQ-5D-5L bolt-on items for Chinese population: Qualitative phase of a mixed-methods study

    Open Access•Jingzhi Fan, Zhuxin Mao et al.•ARTICLE•Quality of Life Research•2025

  • A multidimensional comparative study of help-seeking messages on Weibo under different stages of Covid-19 pandemic in China

    Open Access•Jianhong Jiang, Jian‐Hong Jiang et al.•ARTICLE•Frontiers in Public Health•2024

    Objective: During the COVID-19 pandemic, people posted help-seeking messages on Weibo, a mainstream social media in China, to solve practical problems. As viruses, policies, and perceptions have all changed, help-seeking behavior on Weibo has been shown to evolve in this paper. Methods: We compare and analyze the help-seeking messages from three dimensions: content categories, time distribution, and retweeting influencing factors. First, we crawl…

  • Bidirectional Association Between Parental Pressure to Eat and Children's Satiety Responsiveness: The Moderating Effect of Children's Temperament

    Open Access•Fangge Qu, Yujia Chen et al.•ARTICLE•Maternal and Child Nutrition•2024

    This study aimed to examine the directionality of the relationship between children's satiety responsiveness and parental pressure to eat and to explore how children's temperament moderates this relationship. Parents of preschoolers (n = 482, M age = 3.66, SD = 0.29, 51.2% boys) were surveyed at two-time points spaced 2 years in China, and 76.6% of those were mothers. Cross-lagged analyses indicated that children's satiety responsiveness positive…

  • Cooperation in an uncertain environment: The impact of stakeholders' concerted action on collaborative innovation projects risk management

    Open Access•Zhixue Liu, Ronggui Ding et al.•ARTICLE•Technological Forecasting and…•2023

  • A machine learning approach to modelling the spatial variations in the daily fine particulate matter (PM 2.5 ) and nitrogen dioxide (NO 2 ) of Shanghai, China

    Open Access•Xinyi Song, Xin-Yi Song et al.•ARTICLE•Environment and Planning B Urban…•2021

    It is challenging to forecast high-resolution spatial-temporal patterns of intra-urban air pollution and identify impacting factors at the regional scale. Studies have attempted to capture features of air pollutants such as fine particulate matter (PM 2.5 ) and nitrogen dioxide (NO 2 ) using land use regression models, but this method overlooks the multi-collinearity of factors, non-linear correlations between factors and air pollutants, and it f…

No prominent works on this page.

  • A machine learning approach to modelling the spatial variations in the daily fine particulate matter (PM 2.5 ) and nitrogen dioxide (NO 2 ) of Shanghai, China

    Open Access•Xinyi Song, Xin-Yi Song et al.•ARTICLE•Environment and Planning B Urban…•2021

    It is challenging to forecast high-resolution spatial-temporal patterns of intra-urban air pollution and identify impacting factors at the regional scale. Studies have attempted to capture features of air pollutants such as fine particulate matter (PM 2.5 ) and nitrogen dioxide (NO 2 ) using land use regression models, but this method overlooks the multi-collinearity of factors, non-linear correlations between factors and air pollutants, and it f…

  • Cooperation in an uncertain environment: The impact of stakeholders' concerted action on collaborative innovation projects risk management

    Open Access•Zhixue Liu, Ronggui Ding et al.•ARTICLE•Technological Forecasting and…•2023

  • A multidimensional comparative study of help-seeking messages on Weibo under different stages of Covid-19 pandemic in China

    Open Access•Jianhong Jiang, Jian‐Hong Jiang et al.•ARTICLE•Frontiers in Public Health•2024

    Objective: During the COVID-19 pandemic, people posted help-seeking messages on Weibo, a mainstream social media in China, to solve practical problems. As viruses, policies, and perceptions have all changed, help-seeking behavior on Weibo has been shown to evolve in this paper. Methods: We compare and analyze the help-seeking messages from three dimensions: content categories, time distribution, and retweeting influencing factors. First, we crawl…

  • Bidirectional Association Between Parental Pressure to Eat and Children's Satiety Responsiveness: The Moderating Effect of Children's Temperament

    Open Access•Fangge Qu, Yujia Chen et al.•ARTICLE•Maternal and Child Nutrition•2024

    This study aimed to examine the directionality of the relationship between children's satiety responsiveness and parental pressure to eat and to explore how children's temperament moderates this relationship. Parents of preschoolers (n = 482, M age = 3.66, SD = 0.29, 51.2% boys) were surveyed at two-time points spaced 2 years in China, and 76.6% of those were mothers. Cross-lagged analyses indicated that children's satiety responsiveness positive…

  • Identifying and developing culturally relevant EQ-5D-5L bolt-on items for Chinese population: Qualitative phase of a mixed-methods study

    Open Access•Jingzhi Fan, Zhuxin Mao et al.•ARTICLE•Quality of Life Research•2025

  • Uncovering the effect of Gen AI-assisted learning on students’ creativity: A meta-analysis from quasi-experimental evidence

    Open Access•Huanyou Chai, Fangqi Guo et al.•ARTICLE•Thinking Skills and Creativity•2026

  • Associations Between Big Five Personality Traits and Cognitive, Affective, and Behavioral Outcomes in Online Learning: A Three-Level Meta-Analysis

    Open Access•Huanyou Chai, Xinyi Song et al.•ARTICLE•Educational Psychology Review•2026

  • Profiles of learner interactions in synchronous and asynchronous online discussions: Relationships with emotional and cognitive engagement and learning performance

    Open Access•Xinyi Song, Haimei Zhang et al.•ARTICLE•Interactive Learning Environments•2026

    Learner interactions, which occurs both synchronously and asynchronously, play an important role in the success of online education. A clear understanding of interaction pattern is crucial for refining instructional support and enhancing learning assessment. This study aims to identify and characterize learner types based on their synchronous and asynchronous interaction behaviors using social network analysis, cluster analysis, and content analy…

Computer Science (3 works) · Medicine (3 works) · Clinical Psychology (2 works) · Clinical Psychology (2 works) · Geography (2 works) · Personality (2 works) · Psychology (2 works) · 2019-20 coronavirus outbreak (1 works) · Action (physics) (1 works) · Adaptation (eye (1 works)

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