Shuxin Liu
Biographic Data
| ID | 7443323 |
|---|---|
| NAME | Shuxin Liu |
| GIVEN NAMES | Shuxin |
| FAMILY NAME | Liu |
| SIGNATURE | LIU S |
| AFFILIATIONS | National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China |
| ORCID | 0000-0002-4656-0906 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Obsessive work passion, creative deviance, and team radical innovation
Drawing on multi-wave, multi-source survey data from R&D institutions in a southern province of China, this study employed a moderated mediation model to explore how obsessive work passion drives team innovation. Our findings reveal that organizational error management culture moderates the relationship between team leaders’ obsessive work passion and their creative deviance. Specifically, obsessive work passion fosters creative deviance when the…
Quality and reliability of YouTube videos on post-traumatic stress disorder
Background With increasing geopolitical instability and conflicts, post-traumatic stress disorder (PTSD) has become a significant global mental health burden. YouTube is a major source of health information, yet the quality, reliability, and cross-linguistic differences of PTSD-related content remain insufficiently explored. This study aimed to compare the quality and reliability of Chinese- and English-language PTSD videos and to identify factor…
Does morphological awareness assessment matter for Chinese-English bilingual children with reading difficulties? A systematic review and meta-analysis
This meta-analysis aimed to determine whether Chinese-English bilingual children with reading difficulties (RD) have significant deficits in morphological awareness (MA), phonological awareness, and word reading, in both their first and second languages (L1 and L2). It also evaluated the influence of RD severity, age, diglossia context, and methodological design on effect sizes. The study included 29 samples ( N = 4,516) from 14 studies on childr…
Technology‐Mediated Mental Health Programs and Interventions for Educators
Educators are a vital yet vulnerable workforce, often facing mental health issues. Although intervention programs exist, the extant literature primarily focuses on student services. This paper presents a systematic review and meta‐analysis to evaluate technology‐mediated psychological interventions for educators. A thorough search across seven electronic databases identified 27 studies for the systematic review and 17 for the meta‐analysis. The r…
Advancing User Behavior Analysis
In addressing the cold-start problem in individual location prediction, we introduce a novel bilateral-branch network to enhance prediction accuracy specifically for cold-start users, without sacrificing general performance. This network integrates a main-branch that analyzes mobility behavior across all users and a sampling-branch dedicated to cold-start users, both employing a shared encoder to ensure consistent learning of behavioral patterns.…
The Impact of Corporate Social Responsibility on Green Technology Innovation
As global challenges related to environmental sustainability intensify, multinational corporations (MNCs) face mounting pressure to advance green technology innovation (GTI). Although substantial research on this topic exists in developed economies, significant gaps remain in understanding how corporate social responsibility (CSR) drives GTI in emerging markets such as China. To address this research gap, this study empirically examines the relat…
Cost-Sensitive GNN-Based Imbalanced Learning for Mobile Social Network Fraud Detection
In recent years, the increasing prevalence of mobile social network fraud has led to significant distress and depletion of personal and social wealth, resulting in considerable economic harm. Graph neural networks (GNNs) have emerged as a popular approach to tackle this issue. However, the challenge of graph imbalance, which can greatly impede the effectiveness of GNN-based fraud detection methods, has received little attention in prior research.…
Current status, evolutionary path, and development trends of low-carbon technology innovation
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Current status, evolutionary path, and development trends of low-carbon technology innovation
Cost-Sensitive GNN-Based Imbalanced Learning for Mobile Social Network Fraud Detection
In recent years, the increasing prevalence of mobile social network fraud has led to significant distress and depletion of personal and social wealth, resulting in considerable economic harm. Graph neural networks (GNNs) have emerged as a popular approach to tackle this issue. However, the challenge of graph imbalance, which can greatly impede the effectiveness of GNN-based fraud detection methods, has received little attention in prior research.…
Advancing User Behavior Analysis
In addressing the cold-start problem in individual location prediction, we introduce a novel bilateral-branch network to enhance prediction accuracy specifically for cold-start users, without sacrificing general performance. This network integrates a main-branch that analyzes mobility behavior across all users and a sampling-branch dedicated to cold-start users, both employing a shared encoder to ensure consistent learning of behavioral patterns.…
The Impact of Corporate Social Responsibility on Green Technology Innovation
As global challenges related to environmental sustainability intensify, multinational corporations (MNCs) face mounting pressure to advance green technology innovation (GTI). Although substantial research on this topic exists in developed economies, significant gaps remain in understanding how corporate social responsibility (CSR) drives GTI in emerging markets such as China. To address this research gap, this study empirically examines the relat…
Obsessive work passion, creative deviance, and team radical innovation
Drawing on multi-wave, multi-source survey data from R&D institutions in a southern province of China, this study employed a moderated mediation model to explore how obsessive work passion drives team innovation. Our findings reveal that organizational error management culture moderates the relationship between team leaders’ obsessive work passion and their creative deviance. Specifically, obsessive work passion fosters creative deviance when the…
Quality and reliability of YouTube videos on post-traumatic stress disorder
Background With increasing geopolitical instability and conflicts, post-traumatic stress disorder (PTSD) has become a significant global mental health burden. YouTube is a major source of health information, yet the quality, reliability, and cross-linguistic differences of PTSD-related content remain insufficiently explored. This study aimed to compare the quality and reliability of Chinese- and English-language PTSD videos and to identify factor…
Does morphological awareness assessment matter for Chinese-English bilingual children with reading difficulties? A systematic review and meta-analysis
This meta-analysis aimed to determine whether Chinese-English bilingual children with reading difficulties (RD) have significant deficits in morphological awareness (MA), phonological awareness, and word reading, in both their first and second languages (L1 and L2). It also evaluated the influence of RD severity, age, diglossia context, and methodological design on effect sizes. The study included 29 samples ( N = 4,516) from 14 studies on childr…
Technology‐Mediated Mental Health Programs and Interventions for Educators
Educators are a vital yet vulnerable workforce, often facing mental health issues. Although intervention programs exist, the extant literature primarily focuses on student services. This paper presents a systematic review and meta‐analysis to evaluate technology‐mediated psychological interventions for educators. A thorough search across seven electronic databases identified 27 studies for the systematic review and 17 for the meta‐analysis. The r…
Computer Science (3 works) · Business (2 works) · Mental health (2 works) · Political science (2 works) · Advanced Graph Neural Networks (1 work) · Anxiety (1 work) · Artificial Intelligence (1 work) · Bibliometrics (1 work) · Burnout (1 work) · Climate Change Policy and Economics (1 work)