Wenyu Zhang
Biographic Data
| ID | 3914971 |
|---|---|
| NAME | Wenyu Zhang |
| GIVEN NAMES | Wenyu |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG W |
| AFFILIATIONS | Zhejiang University of Finance and Economics |
| ORCID | 0000-0002-8906-5411 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 20 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Effects of AI viewpoint divergence on group creative performance
摘要: 在生成式人工智能嵌入团队协作的背景下, AI观点特征如何影响团体创造表现目前仍缺乏深入探讨。本研究设计“双人-AI”团体协作场景, 要求双人与AI合作完成科学与日常两类创造性任务, 操纵AI输出观点的发散性, 考察其对团体创意新颖性与实用性的影响, 及对AI调用策略、观点采择策略、观点语义特征、双人脑间同步和单人脑功能连接的作用。结果表明, 高AI观点发散性显著提升了团体创意的新颖性, 但这一增益作用仅体现在日常创造性任务中; 高AI观点发散性削弱了两类创造性任务中团体创意的实用性。中介分析表明, AI排除性生成策略及人类观点语义特征在AI观点发散性影响团体创造表现的过程中发挥中介作用。脑-行为整合分析显示, 前额叶脑间同步与单脑功能连接可通过AI调用策略、观点采择策略与观点语义特征等变量, 与团体创意新颖性和实用性产生间接关联。本研究为理解AI观点发散性影响团体创意新颖性与实用性的认知神经机制提供了实证证据, 进一步拓展了团体动机性信息加工模型在人智共创情境中的应用范围。
The effects of process and outcome cues on 4- to 7-year-old children's and adults' inferences and evaluations of ability and effort
摘要: 儿童对“聪明”和“努力”的判断与评价是对过程线索还是结果线索更加敏感?儿童与成人对“聪明”和“努力”的判断与评价有什么不同?本研究探究这些问题。研究呈现两位人物在两次考试中的过程与结果: 第一次考试成绩相同, 但其中一位用时较长。参与者需判断谁更聪明、谁更努力, 并对两者进行评价; 第二次考试中, 我们操控原本被认为较不聪明或较不努力的人物取得更好的成绩, 以探究结果变化对判断的影响。结果发现, 儿童自4岁起便能推断用时短的人物更“聪明”, 而尚不能准确推断谁更“努力”, 随着年龄增长, 逐渐理解用时长的人物更努力。相较于“聪明”判断, 儿童对“努力”的判断较少随结果变化而改变; 成人对“聪明”与“努力”的判断均不随结果变化而改变。此外, 随年龄增长, 儿童对努力者的评价愈加积极。
Modeling the factors influencing high school students’ computational thinking in educational robotics–based programming learning activities
Background and Context Traditional text and blockbased programming often limits the development of computational thinking (CT) skills, while educational robotics (ER) provides a handson alternative that can better foster these skills. However, how robotics environments promote CT remains unclear. This study focuses on Chinese high school students engaged in programming activities using ER.Objective This study aims to develop and validate an integ…
Re-examining the application of the theory of planned behavior model in physical education
The Theory of Planned Behavior (TPB) is widely used to explain students’ physical activity participation in physical education. To examine whether motivation adds explanatory value to TPB, this meta-analysis synthesized 60 independent studies ( N = 38,596; 496 effect sizes) and tested a motivation-extended TPB model using two-stage meta-analytic structural equation modeling (MASEM). The model retained the core TPB pathways (ATT, SN, and PBC → BI …
Hypergraph-Enhanced Semisupervised Graph Reconstruction Learning for Overlapping Community Detection
Differential associations of occupational stress dimensions with job burnout subscales among nurses
Background The differential associations through which specific dimensions of occupational stress contribute to distinct components of job burnout among nurses remain insufficiently elucidated, particularly in the post-pandemic context. This study aimed to assess the status of occupational stress and burnout and, crucially, to investigate the specific associations between stress dimensions and burnout components among clinical nurses. Methods A c…
DIKWP Framework
Smart manufacturing and green manufacturing are key drivers of sustainability in the circular economy, promoting manufacturers to adopt intelligentization, green innovation, and servitization strategies. However, their combined effects on sustainability remain unexplored. This study proposes a data-information-knowledge-wisdom-practice (DIKWP) framework to clarify the combined effects. By analyzing 904 questionnaires from China’s manufacturing se…
Group‐ AI Collaboration Enhances Creativity Performance
Contested Narratives
Improving students’ programming performance
With the development of the times, programming education has become increasingly important for individual development. However, for programming beginners such as primary and secondary school students, learning programming is not a simple task and requires additional learning support. Generative AI (GenAI) chatbots are effective teaching aids that can reduce the learning difficulty of programming by providing real-time guidance and personalized le…
Mapping the vanishing and transformation of urban villages in China
Urban villages (UVs), informal settlements embedded within China’s urban fabric, have undergone widespread demolition and redevelopment in recent decades. However, there remains a lack of systematic evaluation of whether the demolished land has been effectively reused, raising concerns about the efficacy and sustainability of current redevelopment practices. To address the gap, this study proposes a deep learning–based framework to monitor the sp…
Integrating Spatiotemporal Vision Transformer into Digital Twins for High-Resolution Heat Stress Forecasting in Campus Environments
Extreme heat events, exacerbated by climate change, pose significant challenges to urban resilience and planning. This study introduces a climate-responsive digital twin framework integrating the Spatiotemporal Vision Transformer (ST-ViT) model to enhance heat stress forecasting and decision-making. Using a Texas campus as a testbed, we synthesized high-resolution physical model simulations with spatial and meteorological data to develop fine-sca…
Mapping urban villages in China
The relationship between anger and creative performance
A substantial body of empirical research has focused on the interaction between creativity and mood, yet the results regarding the impact of anger on creative performance are notably varied. To clarify the overall relationship between the two, a three-level meta-analysis employing a random effects model was conducted. This analysis reviewed 115 effect sizes from 2,413 participants, revealing that anger is significantly positively correlated with …
Assessing the impact of 24-hour activity behaviors on cardiorespiratory fitness in the older adult
Background: Cardiorespiratory fitness (CRF) serves as a critical measure of the cardiovascular system's efficiency in delivering oxygenated blood to tissues and organs. Understanding the relationship between various activity behaviors and CRF is essential for devising effective health interventions for the older adult population. Objective: This study aimed to investigate the association between 24-h activity behaviors and CRF in older adult indi…
A deep learning-based method for predicting the emerging degree of research topics using emerging index
Career Development and Occupational Disease in Chinese Nurses
A high prevalence of occupational diseases was noted among nurses in China. The data indicated that 50% of the nurses were vague regarding their career planning. The data suggest that managers need to pay more attention and to prevent this problem. Appropriate interventions should also be provided
Research on a Novel Hybrid Decomposition–Ensemble Learning Paradigm Based on VMD and Iwoa for PM2.5 Forecasting
The non-stationarity, nonlinearity and complexity of the PM 2.5 series have caused difficulties in PM 2.5 prediction. To improve prediction accuracy, many forecasting methods have been developed. However, these methods usually do not consider the importance of data preprocessing and have limitations only using a single forecasting model. Therefore, this paper proposed a new hybrid decomposition-ensemble learning paradigm based on variation mode d…
Has the monetary resettlement compensation policy hindered the two-way flow of resources between urban and rural areas
Empirical Study on the Evaluation Model of Public Satisfaction With Local Government Budget Transparency
For policymakers across the world, the importance of budget transparency is self-evident. However, most scholars mainly focus on the economic performance of budget transparency while ignoring satisfaction of the public as the recipients of this policy. Therefore, this study examines the main factors of public satisfaction with the local government budget transparency based on the theory of customer satisfaction in the context of the Chinese budge…
Has the monetary resettlement compensation policy hindered the two-way flow of resources between urban and rural areas
Integrating Spatiotemporal Vision Transformer into Digital Twins for High-Resolution Heat Stress Forecasting in Campus Environments
Extreme heat events, exacerbated by climate change, pose significant challenges to urban resilience and planning. This study introduces a climate-responsive digital twin framework integrating the Spatiotemporal Vision Transformer (ST-ViT) model to enhance heat stress forecasting and decision-making. Using a Texas campus as a testbed, we synthesized high-resolution physical model simulations with spatial and meteorological data to develop fine-sca…
Empirical Study on the Evaluation Model of Public Satisfaction With Local Government Budget Transparency
For policymakers across the world, the importance of budget transparency is self-evident. However, most scholars mainly focus on the economic performance of budget transparency while ignoring satisfaction of the public as the recipients of this policy. Therefore, this study examines the main factors of public satisfaction with the local government budget transparency based on the theory of customer satisfaction in the context of the Chinese budge…
Has the monetary resettlement compensation policy hindered the two-way flow of resources between urban and rural areas
Empirical Study on the Evaluation Model of Public Satisfaction With Local Government Budget Transparency
For policymakers across the world, the importance of budget transparency is self-evident. However, most scholars mainly focus on the economic performance of budget transparency while ignoring satisfaction of the public as the recipients of this policy. Therefore, this study examines the main factors of public satisfaction with the local government budget transparency based on the theory of customer satisfaction in the context of the Chinese budge…
Research on a Novel Hybrid Decomposition–Ensemble Learning Paradigm Based on VMD and Iwoa for PM2.5 Forecasting
The non-stationarity, nonlinearity and complexity of the PM 2.5 series have caused difficulties in PM 2.5 prediction. To improve prediction accuracy, many forecasting methods have been developed. However, these methods usually do not consider the importance of data preprocessing and have limitations only using a single forecasting model. Therefore, this paper proposed a new hybrid decomposition-ensemble learning paradigm based on variation mode d…
Career Development and Occupational Disease in Chinese Nurses
A high prevalence of occupational diseases was noted among nurses in China. The data indicated that 50% of the nurses were vague regarding their career planning. The data suggest that managers need to pay more attention and to prevent this problem. Appropriate interventions should also be provided
Assessing the impact of 24-hour activity behaviors on cardiorespiratory fitness in the older adult
Background: Cardiorespiratory fitness (CRF) serves as a critical measure of the cardiovascular system's efficiency in delivering oxygenated blood to tissues and organs. Understanding the relationship between various activity behaviors and CRF is essential for devising effective health interventions for the older adult population. Objective: This study aimed to investigate the association between 24-h activity behaviors and CRF in older adult indi…
A deep learning-based method for predicting the emerging degree of research topics using emerging index
Improving students’ programming performance
With the development of the times, programming education has become increasingly important for individual development. However, for programming beginners such as primary and secondary school students, learning programming is not a simple task and requires additional learning support. Generative AI (GenAI) chatbots are effective teaching aids that can reduce the learning difficulty of programming by providing real-time guidance and personalized le…
Mapping the vanishing and transformation of urban villages in China
Urban villages (UVs), informal settlements embedded within China’s urban fabric, have undergone widespread demolition and redevelopment in recent decades. However, there remains a lack of systematic evaluation of whether the demolished land has been effectively reused, raising concerns about the efficacy and sustainability of current redevelopment practices. To address the gap, this study proposes a deep learning–based framework to monitor the sp…
Integrating Spatiotemporal Vision Transformer into Digital Twins for High-Resolution Heat Stress Forecasting in Campus Environments
Extreme heat events, exacerbated by climate change, pose significant challenges to urban resilience and planning. This study introduces a climate-responsive digital twin framework integrating the Spatiotemporal Vision Transformer (ST-ViT) model to enhance heat stress forecasting and decision-making. Using a Texas campus as a testbed, we synthesized high-resolution physical model simulations with spatial and meteorological data to develop fine-sca…
Mapping urban villages in China
The relationship between anger and creative performance
A substantial body of empirical research has focused on the interaction between creativity and mood, yet the results regarding the impact of anger on creative performance are notably varied. To clarify the overall relationship between the two, a three-level meta-analysis employing a random effects model was conducted. This analysis reviewed 115 effect sizes from 2,413 participants, revealing that anger is significantly positively correlated with …
Effects of AI viewpoint divergence on group creative performance
摘要: 在生成式人工智能嵌入团队协作的背景下, AI观点特征如何影响团体创造表现目前仍缺乏深入探讨。本研究设计“双人-AI”团体协作场景, 要求双人与AI合作完成科学与日常两类创造性任务, 操纵AI输出观点的发散性, 考察其对团体创意新颖性与实用性的影响, 及对AI调用策略、观点采择策略、观点语义特征、双人脑间同步和单人脑功能连接的作用。结果表明, 高AI观点发散性显著提升了团体创意的新颖性, 但这一增益作用仅体现在日常创造性任务中; 高AI观点发散性削弱了两类创造性任务中团体创意的实用性。中介分析表明, AI排除性生成策略及人类观点语义特征在AI观点发散性影响团体创造表现的过程中发挥中介作用。脑-行为整合分析显示, 前额叶脑间同步与单脑功能连接可通过AI调用策略、观点采择策略与观点语义特征等变量, 与团体创意新颖性和实用性产生间接关联。本研究为理解AI观点发散性影响团体创意新颖性与实用性的认知神经机制提供了实证证据, 进一步拓展了团体动机性信息加工模型在人智共创情境中的应用范围。
The effects of process and outcome cues on 4- to 7-year-old children's and adults' inferences and evaluations of ability and effort
摘要: 儿童对“聪明”和“努力”的判断与评价是对过程线索还是结果线索更加敏感?儿童与成人对“聪明”和“努力”的判断与评价有什么不同?本研究探究这些问题。研究呈现两位人物在两次考试中的过程与结果: 第一次考试成绩相同, 但其中一位用时较长。参与者需判断谁更聪明、谁更努力, 并对两者进行评价; 第二次考试中, 我们操控原本被认为较不聪明或较不努力的人物取得更好的成绩, 以探究结果变化对判断的影响。结果发现, 儿童自4岁起便能推断用时短的人物更“聪明”, 而尚不能准确推断谁更“努力”, 随着年龄增长, 逐渐理解用时长的人物更努力。相较于“聪明”判断, 儿童对“努力”的判断较少随结果变化而改变; 成人对“聪明”与“努力”的判断均不随结果变化而改变。此外, 随年龄增长, 儿童对努力者的评价愈加积极。
Modeling the factors influencing high school students’ computational thinking in educational robotics–based programming learning activities
Background and Context Traditional text and blockbased programming often limits the development of computational thinking (CT) skills, while educational robotics (ER) provides a handson alternative that can better foster these skills. However, how robotics environments promote CT remains unclear. This study focuses on Chinese high school students engaged in programming activities using ER.Objective This study aims to develop and validate an integ…
Re-examining the application of the theory of planned behavior model in physical education
The Theory of Planned Behavior (TPB) is widely used to explain students’ physical activity participation in physical education. To examine whether motivation adds explanatory value to TPB, this meta-analysis synthesized 60 independent studies ( N = 38,596; 496 effect sizes) and tested a motivation-extended TPB model using two-stage meta-analytic structural equation modeling (MASEM). The model retained the core TPB pathways (ATT, SN, and PBC → BI …
Hypergraph-Enhanced Semisupervised Graph Reconstruction Learning for Overlapping Community Detection
Differential associations of occupational stress dimensions with job burnout subscales among nurses
Background The differential associations through which specific dimensions of occupational stress contribute to distinct components of job burnout among nurses remain insufficiently elucidated, particularly in the post-pandemic context. This study aimed to assess the status of occupational stress and burnout and, crucially, to investigate the specific associations between stress dimensions and burnout components among clinical nurses. Methods A c…
DIKWP Framework
Smart manufacturing and green manufacturing are key drivers of sustainability in the circular economy, promoting manufacturers to adopt intelligentization, green innovation, and servitization strategies. However, their combined effects on sustainability remain unexplored. This study proposes a data-information-knowledge-wisdom-practice (DIKWP) framework to clarify the combined effects. By analyzing 904 questionnaires from China’s manufacturing se…
Group‐ AI Collaboration Enhances Creativity Performance
Contested Narratives
Computer Science (4 works) · Artificial Intelligence (3 works) · China (3 works) · Creativity in Education and Neuroscience (3 works) · Geography (3 works) · Structural equation modeling (3 works) · Business (2 works) · Creativity (2 works) · Data mining (2 works) · Deep learning (2 works)