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Song Tong

Datos Biográficos

ID5791391
NOMBRESong Tong
NOMBRESSong
APELLIDOTong
FIRMATONG S
AFILIACIONESTsinghua University
ORCID0000-0002-4183-8454
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS1
OBRAS COMO AUTOR4
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H1
  • From curiosity to competence

    Open Access•Di Wu, Song Tong et al.•ARTICLE•Instructional Science•2026•Referencias: 31

  • Big picture” predicts destination attractiveness

    Open Access•Jingyi Duan, Xuefeng Liang et al.•ARTICLE•Tourism Management•2025•Citada por: 1•Referencias: 79

  • Automating psychological hypothesis generation with AI

    Open Access•Song Tong, Kai Mao et al.•ARTICLE•Humanities and Social Sciences…•2024

    Leveraging the synergy between causal knowledge graphs and a large language model (LLM), our study introduces a groundbreaking approach for computational hypothesis generation in psychology. We analyzed 43,312 psychology articles using a LLM to extract causal relation pairs. This analysis produced a specialized causal graph for psychology. Applying link prediction algorithms, we generated 130 potential psychological hypotheses focusing on “well-b…

  • Effects of self-compassion on aggression and its psychological mechanism through perceived stress

    Open Access•Fang Guan, Chengqing Zhan et al.•ARTICLE•BMC Psychology•2024

    Given the increasing global concerns about aggressive behaviors and the pressing need for effective psychological interventions, this study delves into the potential of a concept deeply rooted in positive and Buddhist psychology but largely researched in Western contexts, as a mitigating factor against aggression in Chinese adults. Through three core studies involving 652 participants (age: 30.52±8.16), our research illuminated the intricate rela…

  • Big picture” predicts destination attractiveness

    Open Access•Jingyi Duan, Xuefeng Liang et al.•ARTICLE•Tourism Management•2025•Citada por: 1•Referencias: 79

  • Automating psychological hypothesis generation with AI

    Open Access•Song Tong, Kai Mao et al.•ARTICLE•Humanities and Social Sciences…•2024

    Leveraging the synergy between causal knowledge graphs and a large language model (LLM), our study introduces a groundbreaking approach for computational hypothesis generation in psychology. We analyzed 43,312 psychology articles using a LLM to extract causal relation pairs. This analysis produced a specialized causal graph for psychology. Applying link prediction algorithms, we generated 130 potential psychological hypotheses focusing on “well-b…

  • Effects of self-compassion on aggression and its psychological mechanism through perceived stress

    Open Access•Fang Guan, Chengqing Zhan et al.•ARTICLE•BMC Psychology•2024

    Given the increasing global concerns about aggressive behaviors and the pressing need for effective psychological interventions, this study delves into the potential of a concept deeply rooted in positive and Buddhist psychology but largely researched in Western contexts, as a mitigating factor against aggression in Chinese adults. Through three core studies involving 652 participants (age: 30.52±8.16), our research illuminated the intricate rela…

  • Big picture” predicts destination attractiveness

    Open Access•Jingyi Duan, Xuefeng Liang et al.•ARTICLE•Tourism Management•2025•Citada por: 1•Referencias: 79

  • From curiosity to competence

    Open Access•Di Wu, Song Tong et al.•ARTICLE•Instructional Science•2026•Referencias: 31

Psychology (3 obras) · Advertising (1 obra) · Aggression (1 obra) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 obra) · Artificial Intelligence (1 obra) · Attractiveness (1 obra) · Business (1 obra) · Clinical Psychology (1 obra) · Clinical Psychology (1 obra) · Cognitive Abilities and Testing (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae