Chenyang Zhang
Biographic Data
| ID | 6274845 |
|---|---|
| NAME | Chenyang Zhang |
| GIVEN NAMES | Chenyang |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG C |
| AFFILIATIONS | Beijing Normal University |
| ORCID | 0009-0009-4447-8480 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 20 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Research on Learning Analytics–Driven AI-Supported Blended Teaching
Against the backdrop of the digital transformation in engineering education, this study developed and implemented a Learning Analytics (LA)-driven and Artificial Intelligence (AI)-supported blended learning model to address structural challenges in the “Combustion” course, including highly abstract theories, experimental safety risks, and compressed instructional hours. Moving beyond mere technical stacking, the model establishes a closed-loop da…
Structural Polarization and the Digital–Physical Misalignment
As a novel urban leisure activity, Citywalk is reshaping the spatial organization of urban tourism resources and spatial experience patterns. This phenomenon provides a crucial entry point for understanding new tourist–destination relationships from the perspective of spatial behavior. This paper takes Harbin, an Internet-Famous City (IFC), as a case study and integrates multi-source data, including pedestrian trajectories, social media texts, an…
Decoding urban park use patterns from a day–night disparity perspective
Urban parks are recognized as important public spaces that support the health and well-being of urban residents. Although georeferenced data have been widely applied in park evaluations, most existing studies address temporal variation by analyzing different time periods separately, rather than adopting a comparative perspective to identify distinct park typologies. This study utilized large-scale mobile phone data from Nanjing, China, to investi…
Toward interpretable urban spatial layout generation
Knowledge, attitudes, and practices toward obstructive sleep apnea among high-risk populations
Not applicable
Postpartum depression in Northeastern China
Introduction Postpartum depression (PPD) is a prevalent mental health issue that poses significant challenges to maternal wellbeing and infant development. We aimed to determine the prevalence of PPD and to investigate its associated determinants and predictors in in Shenyang, China. Methods This cross-sectional study, conducted between January and December 2021, included 1,065 postpartum women in Shenyang, China, at 6 weeks postpartum. PPD was s…
Tourism and housing prices
Rising tourism activity has intensified concerns about its effects on housing affordability, especially in destinations experiencing overtourism. This study conducts the first meta-analysis to quantitatively evaluate the relationship between tourism and housing prices. Based on 221 effect size estimates from 28 peer-reviewed studies, we apply meta-regression techniques—including multi-level random-effects models—to assess the average effect and i…
Changing spatial inclusion of migrants in Chinese cities
Amid mass migration and socio-spatial segregation, social inclusion has been emphasized in urban policy agendas globally. While previous research has explored the inclusion of migrants or different educational groups, few studies have combined education, the important factor influencing housing access, with migration, to explore multi-dimensional inclusion. Drawing on the sixth (Year 2010) and seventh (Year 2020) population censuses and multi-sou…
Soil erosion‐induced decline in aggregate stability and soil organic carbon reduces aggregate‐associated microbial diversity and multifunctionality of agricultural slope in the Mollisol region
Soil erosion has become a serious ecological problem hindering the agricultural and economic development in Northeast China. Soil aggregates are basic units that regulate soil fertility and microbial activity. However, there have been few reports on the role of soil erosion in regulating the microbial diversity, multiple ecosystem services, and functions (multifunctionality) of soil aggregates. In this study, we investigated the effects of soil e…
Study on Airflow Distribution and Energy Conservation in a BSL-4 Laboratory Involved in Aerosol Infection Risk
Carbon reduction measures-based life cycle assessment of the photovoltaic-supported sewage treatment system
Effects of social capital on farmers’ choices of climate change adaptation behavior in Dazu District, China
This study explores the effects of social capital on farmers’ choices of climate change adaptation behavior in Dazu District, China. A total of 228 questionnaires were obtained from randomly sampled households. Social capital was divided into social networks, participation, reciprocity and trust. The adaptation behaviors in the study area were identified as crop adjustment, environmental improvement, financial management, and livelihood diversifi…
Smallholder farmers’ climate change cognition, adaptation practices and perceived adaptation efficacy in the Yangtze River Basin, China
Climate change adaptation is a dynamic process that involves prior cognition, actual action, and subsequent perceived efficacy. However, few studies have focused on whether measures influence perceived adaptation efficacy or even provided comprehensive conceptualizations of the links among cognition, behaviors, and efficacy. This study developed an integrated conceptual framework and employed econometric models to determine their influencing rela…
Rural residents' climate change perceptions, personal experiences, and purchase intention–behavior gap in energy-saving refrigeration appliances in Southwest China
Gender differences in farmers’ livelihood capital in Dazu District, China
This study aims to investigate whether there are gender differences in the livelihood capital of farming households in China. A stratified random sampling technique and household surveys were used to collect data from Dazu District, China. This paper uses capital values to compute the level of livelihood capital, while the ordinary least squares model is employed to compare gender differences in livelihood capital. The results show significant ge…
Efficacy of Covid-19 Treatments
Background: We provided a comprehensive evaluation of efficacy of available treatments for coronavirus disease 2019 (COVID-19). Methods: We searched for candidate COVID-19 studies in WHO COVID-19 Global Research Database up to August 19, 2021. Randomized controlled trials for suspected or confirmed COVID-19 patients published on peer-reviewed journals were included, regardless of demographic characteristics. Outcome measures included mortality, m…
PLD-Slam
RGB-D SLAM (Simultaneous Localization and Mapping) generally performs smoothly in a static environment. However, in dynamic scenes, dynamic features often cause wrong data associations, which degrade accuracy and robustness. To address this problem, in this paper, a new RGB-D dynamic SLAM method, PLD-SLAM, which is based on point and line features for dynamic scenes, is proposed. First, to avoid under-over segmentation caused by deep learning, PL…
Inferring Mixed Use of Buildings with Multisource Data Based on Tensor Decomposition
Information on the mixed use of buildings helps understand the status of mixed-use urban vertical land and assists in urban planning decisions. Although a few studies have focused on this topic, the methods they used are quite complex and require manual intervention in extracting different function patterns of buildings, while building recognition rates remain unsatisfying. In this paper, we propose a new method to infer the mixed use of building…
Farmers’ Risk Cognition, Risk Preferences and Climate Change Adaptive Behavior
Improving local farmers' climate change adaptive capacity is an important policy issue in rural China. This study investigates farmers' risk cognition, risk preferences and climate change adaptive behavior. Based on unique data from a survey and a paired lottery experiment completed by 240 rural farmers in Chongqing City of China, this paper finds that farmers have a pessimistic risk cognition towards climate change and the typical farmers are ri…
Participation in a Swedish cervical cancer screening program among women with psychiatric diagnoses
Women with less-severe psychiatric diagnoses participate in the screening program to the same extent as women overall. Women who have received psychiatric specialist care participate to a lesser extent than women overall. The lowest participation rates were found among women diagnosed with psychoses
Farmers’ Risk Cognition, Risk Preferences and Climate Change Adaptive Behavior
Improving local farmers' climate change adaptive capacity is an important policy issue in rural China. This study investigates farmers' risk cognition, risk preferences and climate change adaptive behavior. Based on unique data from a survey and a paired lottery experiment completed by 240 rural farmers in Chongqing City of China, this paper finds that farmers have a pessimistic risk cognition towards climate change and the typical farmers are ri…
Participation in a Swedish cervical cancer screening program among women with psychiatric diagnoses
Women with less-severe psychiatric diagnoses participate in the screening program to the same extent as women overall. Women who have received psychiatric specialist care participate to a lesser extent than women overall. The lowest participation rates were found among women diagnosed with psychoses
Efficacy of Covid-19 Treatments
Background: We provided a comprehensive evaluation of efficacy of available treatments for coronavirus disease 2019 (COVID-19). Methods: We searched for candidate COVID-19 studies in WHO COVID-19 Global Research Database up to August 19, 2021. Randomized controlled trials for suspected or confirmed COVID-19 patients published on peer-reviewed journals were included, regardless of demographic characteristics. Outcome measures included mortality, m…
PLD-Slam
RGB-D SLAM (Simultaneous Localization and Mapping) generally performs smoothly in a static environment. However, in dynamic scenes, dynamic features often cause wrong data associations, which degrade accuracy and robustness. To address this problem, in this paper, a new RGB-D dynamic SLAM method, PLD-SLAM, which is based on point and line features for dynamic scenes, is proposed. First, to avoid under-over segmentation caused by deep learning, PL…
Inferring Mixed Use of Buildings with Multisource Data Based on Tensor Decomposition
Information on the mixed use of buildings helps understand the status of mixed-use urban vertical land and assists in urban planning decisions. Although a few studies have focused on this topic, the methods they used are quite complex and require manual intervention in extracting different function patterns of buildings, while building recognition rates remain unsatisfying. In this paper, we propose a new method to infer the mixed use of building…
Gender differences in farmers’ livelihood capital in Dazu District, China
This study aims to investigate whether there are gender differences in the livelihood capital of farming households in China. A stratified random sampling technique and household surveys were used to collect data from Dazu District, China. This paper uses capital values to compute the level of livelihood capital, while the ordinary least squares model is employed to compare gender differences in livelihood capital. The results show significant ge…
Effects of social capital on farmers’ choices of climate change adaptation behavior in Dazu District, China
This study explores the effects of social capital on farmers’ choices of climate change adaptation behavior in Dazu District, China. A total of 228 questionnaires were obtained from randomly sampled households. Social capital was divided into social networks, participation, reciprocity and trust. The adaptation behaviors in the study area were identified as crop adjustment, environmental improvement, financial management, and livelihood diversifi…
Smallholder farmers’ climate change cognition, adaptation practices and perceived adaptation efficacy in the Yangtze River Basin, China
Climate change adaptation is a dynamic process that involves prior cognition, actual action, and subsequent perceived efficacy. However, few studies have focused on whether measures influence perceived adaptation efficacy or even provided comprehensive conceptualizations of the links among cognition, behaviors, and efficacy. This study developed an integrated conceptual framework and employed econometric models to determine their influencing rela…
Rural residents' climate change perceptions, personal experiences, and purchase intention–behavior gap in energy-saving refrigeration appliances in Southwest China
Soil erosion‐induced decline in aggregate stability and soil organic carbon reduces aggregate‐associated microbial diversity and multifunctionality of agricultural slope in the Mollisol region
Soil erosion has become a serious ecological problem hindering the agricultural and economic development in Northeast China. Soil aggregates are basic units that regulate soil fertility and microbial activity. However, there have been few reports on the role of soil erosion in regulating the microbial diversity, multiple ecosystem services, and functions (multifunctionality) of soil aggregates. In this study, we investigated the effects of soil e…
Study on Airflow Distribution and Energy Conservation in a BSL-4 Laboratory Involved in Aerosol Infection Risk
Carbon reduction measures-based life cycle assessment of the photovoltaic-supported sewage treatment system
Postpartum depression in Northeastern China
Introduction Postpartum depression (PPD) is a prevalent mental health issue that poses significant challenges to maternal wellbeing and infant development. We aimed to determine the prevalence of PPD and to investigate its associated determinants and predictors in in Shenyang, China. Methods This cross-sectional study, conducted between January and December 2021, included 1,065 postpartum women in Shenyang, China, at 6 weeks postpartum. PPD was s…
Tourism and housing prices
Rising tourism activity has intensified concerns about its effects on housing affordability, especially in destinations experiencing overtourism. This study conducts the first meta-analysis to quantitatively evaluate the relationship between tourism and housing prices. Based on 221 effect size estimates from 28 peer-reviewed studies, we apply meta-regression techniques—including multi-level random-effects models—to assess the average effect and i…
Changing spatial inclusion of migrants in Chinese cities
Amid mass migration and socio-spatial segregation, social inclusion has been emphasized in urban policy agendas globally. While previous research has explored the inclusion of migrants or different educational groups, few studies have combined education, the important factor influencing housing access, with migration, to explore multi-dimensional inclusion. Drawing on the sixth (Year 2010) and seventh (Year 2020) population censuses and multi-sou…
Research on Learning Analytics–Driven AI-Supported Blended Teaching
Against the backdrop of the digital transformation in engineering education, this study developed and implemented a Learning Analytics (LA)-driven and Artificial Intelligence (AI)-supported blended learning model to address structural challenges in the “Combustion” course, including highly abstract theories, experimental safety risks, and compressed instructional hours. Moving beyond mere technical stacking, the model establishes a closed-loop da…
Structural Polarization and the Digital–Physical Misalignment
As a novel urban leisure activity, Citywalk is reshaping the spatial organization of urban tourism resources and spatial experience patterns. This phenomenon provides a crucial entry point for understanding new tourist–destination relationships from the perspective of spatial behavior. This paper takes Harbin, an Internet-Famous City (IFC), as a case study and integrates multi-source data, including pedestrian trajectories, social media texts, an…
Decoding urban park use patterns from a day–night disparity perspective
Urban parks are recognized as important public spaces that support the health and well-being of urban residents. Although georeferenced data have been widely applied in park evaluations, most existing studies address temporal variation by analyzing different time periods separately, rather than adopting a comparative perspective to identify distinct park typologies. This study utilized large-scale mobile phone data from Nanjing, China, to investi…
Toward interpretable urban spatial layout generation
Knowledge, attitudes, and practices toward obstructive sleep apnea among high-risk populations
Not applicable
Geography (7 works) · Economics (5 works) · Agriculture (4 works) · Business (4 works) · Climate change (4 works) · Psychology (4 works) · China (3 works) · Climate change impacts on agriculture (3 works) · Computer Science (3 works) · Ecology (3 works)