Ming yang Zhang

Dr. Ming yang Zhang

orcid

Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 January 2026 in Behavioral Sciences
Verified
Journal Article
Open access
PDF file
Qingqing LiQingqing Li
Qingqing Li
YCYingmim Chen
Yingmim Chen
MZMing yang Zhang
Ming yang Zhang
JZJia Zhang
Jia Zhang
ZFZhenrong Fu
Zhenrong Fu
FYFei Ye
Fei Ye
Research has identified self-concept clarity as a critical psychological resource; however, its mechanisms in mitigating artificial intelligence (AI) anxiety remain underexplored. This study employed a cross-sectional survey of 2176 graduate students (1584 females; Mage = 23.60, SD = 2.03) to build a moderated chain mediation model that examines the mediating role of intentional self-regulation and perceived stress, as well as the moderating role of intolerance of uncertainty. Self-concept clarity was negatively correlated with AI anxiety, perceived stress, and intolerance of uncertainty, and positively correlated with intentional self-regulation. Mediation analyses showed that self-concept clarity predicted lower AI anxiety through both independent and chain mediation effects of intentional self-regulation and perceived stress. Moreover, intolerance of uncertainty moderated the links of self-concept clarity, intentional self-regulation, and perceived stress with AI anxiety. These findings highlight the importance and key explanatory mechanisms of self-concept clarity in mitigating AI anxiety among adults, elucidating that the cultivation of self-concept clarity and acceptance of uncertainty should be a crucial target for prevention and intervention strategies.

7 January 2026 in Behavioral Sciences
Verified
Journal Article
Open access
PDF file
Qingqing LiQingqing Li
Qingqing Li
MZMing yang Zhang
Ming yang Zhang
HWHailan Wang
Hailan Wang
WLWenjing Liu
Wenjing Liu
YWYanjing Wang
Yanjing Wang
ZFZhenrong Fu
Zhenrong Fu
As a distal factor influencing adolescents’ psychological development and behavioral adaptation, the question of whether and how childhood unpredictability is associated with smartphone addiction remains unclear. To address this gap, this study examined the mediating roles of self-concept clarity and self-control, as well as the moderating role of psychological resilience, in the relationship between childhood unpredictability and smartphone addiction. Using a random cluster sampling method, 2262 high school students (51.59% girls; Mage = 17.83, SD = 0.77) were recruited to complete relevant questionnaires. Correlation analyses revealed that childhood unpredictability was negatively correlated with self-concept clarity, self-control, and psychological resilience, and positively correlated with smartphone addiction. Mediation model results indicated that childhood unpredictability contributes to higher smartphone addiction both directly and indirectly through the independent mediating roles of self-concept clarity and self-control and a chained mediation pathway from self-concept clarity to self-control. Moreover, the link between childhood unpredictability and self-concept clarity was moderated by psychological resilience. These findings highlight the critical role and underlying mechanisms of childhood unpredictability in increasing adolescents’ risk of smartphone addiction and emphasize that fostering psychological resilience should be a key target for prevention and intervention efforts aimed at mitigating the adverse effects of childhood unpredictability.