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Zongyuan Wang

Biographic Data

ID6542495
NAMEZongyuan Wang
GIVEN NAMESZongyuan
FAMILY NAMEWang
SIGNATUREWANG Z
AFFILIATIONSCentral China Normal University
ORCID0000-0002-3376-4811
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS39
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Problematic smartphone use in early adolescence

    Open Access•Zhifang Hu, Yue Lin et al.•ARTICLE•British Journal of Psychology•2026

    Smartphones offer convenience but have raised concerns about problematic smartphone use (PSU), particularly among early adolescents whose cognitive control is still developing. Examining developmental heterogeneity in PSU and its associated risk factors during this period has important theoretical and practical implications. Participants were 1821 Chinese children transitioning into early adolescence (M age = 9.57 years; 48.5% female), followed a…

  • Family strains and online gains

    Open Access•Zongyuan Wang, Qinxue Liu et al.•ARTICLE•Cyberpsychology Journal of…•2025

    Harsh parenting has been demonstrated as a risk factor for adolescent problematic internet use (PIU), while its relationships with distinct subtypes of PIU have been scarcely investigated. Aiming to provide evidence that harsh parenting predicts PIU subtypes through divergent mechanisms, the current study draws upon I-PACE model and compensatory satisfaction theory to investigate the longitudinal relationship between harsh parenting and three PIU…

  • Do Violent Video Games Reduce Aggression? The Roles of Prosociality and Cooperation

    Zien Ding, Qinxue Liu et al.•ARTICLE•Media Psychology•2023

    Video games have become an integral part of people’s daily life. Though detrimental outcomes of negative game factors have been demonstrated across previous studies, the effects of prevalently-exist positive game factors, for example, prosociality and cooperation, remain unclear. This study examined the effects of positive game factors in violent video games on aggressive behavior by exploring prosociality and cooperation. Based on the General Le…

  • Meaning in life as a mediator between interpersonal alienation and smartphone addiction in the context of Covid-19

    Open Access•Qiong Hu, Qinxue Liu et al.•ARTICLE•Computers in Human Behavior•2022

  • Data Richness Trade-Offs Between Face-to-Face, Online Audiovisual, and Online Text-Only Focus Groups

    Open Access•Katie M Abrams, Zongyuan Wang et al.•ARTICLE•Social Science Computer Review•2014•Cited by: 39•References: 10

    This study offers an examination of data richness (i.e., topic-related data, topic unrelated data, researcher ratings of data richness, word count, and linguistic characteristics of data richness) trade-offs between face-to-face (FTF), online text-only and online audiovisual focus group mediums. Two focus group sessions were held for each type of medium. Data were analyzed using systematic content analysis and Linguistic Inquiry and Word Count. F…

  • Data Richness Trade-Offs Between Face-to-Face, Online Audiovisual, and Online Text-Only Focus Groups

    Open Access•Katie M Abrams, Zongyuan Wang et al.•ARTICLE•Social Science Computer Review•2014•Cited by: 39•References: 10

    This study offers an examination of data richness (i.e., topic-related data, topic unrelated data, researcher ratings of data richness, word count, and linguistic characteristics of data richness) trade-offs between face-to-face (FTF), online text-only and online audiovisual focus group mediums. Two focus group sessions were held for each type of medium. Data were analyzed using systematic content analysis and Linguistic Inquiry and Word Count. F…

  • Data Richness Trade-Offs Between Face-to-Face, Online Audiovisual, and Online Text-Only Focus Groups

    Open Access•Katie M Abrams, Zongyuan Wang et al.•ARTICLE•Social Science Computer Review•2014•Cited by: 39•References: 10

    This study offers an examination of data richness (i.e., topic-related data, topic unrelated data, researcher ratings of data richness, word count, and linguistic characteristics of data richness) trade-offs between face-to-face (FTF), online text-only and online audiovisual focus group mediums. Two focus group sessions were held for each type of medium. Data were analyzed using systematic content analysis and Linguistic Inquiry and Word Count. F…

  • Meaning in life as a mediator between interpersonal alienation and smartphone addiction in the context of Covid-19

    Open Access•Qiong Hu, Qinxue Liu et al.•ARTICLE•Computers in Human Behavior•2022

  • Do Violent Video Games Reduce Aggression? The Roles of Prosociality and Cooperation

    Zien Ding, Qinxue Liu et al.•ARTICLE•Media Psychology•2023

    Video games have become an integral part of people’s daily life. Though detrimental outcomes of negative game factors have been demonstrated across previous studies, the effects of prevalently-exist positive game factors, for example, prosociality and cooperation, remain unclear. This study examined the effects of positive game factors in violent video games on aggressive behavior by exploring prosociality and cooperation. Based on the General Le…

  • Family strains and online gains

    Open Access•Zongyuan Wang, Qinxue Liu et al.•ARTICLE•Cyberpsychology Journal of…•2025

    Harsh parenting has been demonstrated as a risk factor for adolescent problematic internet use (PIU), while its relationships with distinct subtypes of PIU have been scarcely investigated. Aiming to provide evidence that harsh parenting predicts PIU subtypes through divergent mechanisms, the current study draws upon I-PACE model and compensatory satisfaction theory to investigate the longitudinal relationship between harsh parenting and three PIU…

  • Problematic smartphone use in early adolescence

    Open Access•Zhifang Hu, Yue Lin et al.•ARTICLE•British Journal of Psychology•2026

    Smartphones offer convenience but have raised concerns about problematic smartphone use (PSU), particularly among early adolescents whose cognitive control is still developing. Examining developmental heterogeneity in PSU and its associated risk factors during this period has important theoretical and practical implications. Participants were 1821 Chinese children transitioning into early adolescence (M age = 9.57 years; 48.5% female), followed a…

Impact of Technology on Adolescents (3 works) · Psychology (3 works) · Social Psychology (3 works) · Bullying, Victimization, and Aggression (2 works) · Child Development and Digital Technology (2 works) · Computer Science (2 works) · Death Anxiety and Social Exclusion (2 works) · Longitudinal study (2 works) · Medicine (2 works) · Addiction (1 work)

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