Wen Dong
Biographic Data
| ID | 3758348 |
|---|---|
| NAME | Wen Dong |
| GIVEN NAMES | Wen |
| FAMILY NAME | Dong |
| SIGNATURE | DONG W |
| AFFILIATIONS | Yunnan Normal University |
| ORCID | 0000-0001-8923-2227 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 11 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Projecting BVOC emissions under future urbanization and climate change: Spatiotemporal atmospheric risks and ecosystem service trade-offs
Unveiling the mechanisms linking urban plant diversity to human physiology health
Digital therapeutics for cognitive impairments associated with schizophrenia: Our opinion
Schizophrenia is a psychotic disorder characterized by hallucinations, delusions, disorganized thought and behavior, and psychomotor abnormalities. Cognitive deficits are core features, contributing to long-term morbidity and poor functional outcomes (McCutcheon, 2023). Thus, addressing cognitive deficits is a top research priority. However, the effectiveness of treatments for cognitive impairment associated with schizophrenia (CIAS) remains unce…
A Survey of the Landscape Visibility Analysis Tools and Technical Improvements
Visual perception of the urban landscape in a city is complex and dynamic, and it is largely influenced by human vision and the dynamic spatial layout of the attractions. In return, landscape visibility not only affects how people interact with the environment but also promotes regional values and urban resilience. The development of visibility has evolved, and the digital landscape visibility analysis method allows urban researchers to redefine …
Achieving Carbon Neutrality through Urban Planning and Design
Much of the research on climate change has focused on carbon reduction in cities or countries. However, more attention needs to be paid to how to achieve carbon neutrality in the urban design and planning stage, and the lack of quantitative analysis of carbon related to urban space makes it difficult to locate urban space and provide direct guidance for urban planning and design. This study proposed three optimization paths to achieve carbon neut…
Exploring the relationship between urban residents' emotional changes and built environment before and during the Covid-19 pandemic from the perspective of resilience
A Study on a Neural Network Risk Simulation Model Construction for Avian Influenza A (H7N9) Outbreaks in Humans in China during 2013–2017
The main purposes of this study were to explore the spatial distribution characteristics of H7N9 human infections during 2013-2017, and to construct a neural network risk simulation model of H7N9 outbreaks in China and evaluate their effects. First, ArcGIS 10.6 was used for spatial autocorrelation analysis, and cluster patterns ofH7N9 outbreaks were analyzed in China during 2013-2017 to detect outbreaks' hotspots. During the study period, the inc…
Agent Simulation Model of Covid-19 Epidemic Agent-Based on GIS: A Case Study of Huangpu District, Shanghai
Since the COVID-19 outbreak was detected and reported at the end of 2019, the pandemic continues worldwide, with public health authorities and the general public in each country struggling to balance safety and normal travel activities. However, the complex public health environment and the complexity of human behaviors, as well as the constant mutation of the COVID-19 virus, requires the development of theoretical and simulation tools to accurat…
Spatiotemporal Analysis and Risk Assessment Model Research of Diabetes among People over 45 Years Old in China
Diabetes, which is a chronic disease with a high prevalence in people over 45 years old in China, is a public health issue of global concern. In order to explore the spatiotemporal patterns of diabetes among people over 45 years old in China, to find out diabetes risk factors, and to assess its risk, we used spatial autocorrelation, spatiotemporal cluster analysis, binary logistic regression, and a random forest model in this study. The results o…
Tracking the urban expansion and its driving mechanisms behind Xinjiang Production and Construction Corps (XPCC): Evidence from morphology and landscapes
Cities are diverse, with their formation and expansion having various driving forces. Xinjiang Production and Construction Corps (XPCC) cities represent an emerging category in China's urban system. They have evolved into a special organisation integrating ‘party, government, military, and enterprises’ and are located in Xinjiang, the frontier region of north-western China. Investigation of such urban characteristics is helpful to enrich our dive…
A Predictive Risk Model for A(H7N9) Human Infections Based on Spatial-Temporal Autocorrelation and Risk Factors: China, 2013–2014
This study investigated the spatial distribution, spatial autocorrelation, temporal cluster, spatial-temporal autocorrelation and probable risk factors of H7N9 outbreaks in humans from March 2013 to December 2014 in China. The results showed that the epidemic spread with significant spatial-temporal autocorrelation. In order to describe the spatial-temporal autocorrelation of H7N9, an improved model was developed by introducing a spatial-temporal…
East Asia and Solar Energy Trade Network Patterns
The extent to which core‐periphery hierarchical trade patterns have significantly changed with the emergence of Asia remains debated. This paper addresses the debate by examining the spatial patterns and mobility of Asian countries in global solar energy trade. Based on network analysis from 1990 to 2013, it shows that Japan, Singapore, and Malaysia emerged as core countries as early as 1990. The Asian core expanded to six countries by 2013, incl…
Urumqi
Urumqi
Exploring the relationship between urban residents' emotional changes and built environment before and during the Covid-19 pandemic from the perspective of resilience
East Asia and Solar Energy Trade Network Patterns
The extent to which core‐periphery hierarchical trade patterns have significantly changed with the emergence of Asia remains debated. This paper addresses the debate by examining the spatial patterns and mobility of Asian countries in global solar energy trade. Based on network analysis from 1990 to 2013, it shows that Japan, Singapore, and Malaysia emerged as core countries as early as 1990. The Asian core expanded to six countries by 2013, incl…
Tracking the urban expansion and its driving mechanisms behind Xinjiang Production and Construction Corps (XPCC): Evidence from morphology and landscapes
Cities are diverse, with their formation and expansion having various driving forces. Xinjiang Production and Construction Corps (XPCC) cities represent an emerging category in China's urban system. They have evolved into a special organisation integrating ‘party, government, military, and enterprises’ and are located in Xinjiang, the frontier region of north-western China. Investigation of such urban characteristics is helpful to enrich our dive…
Urumqi
A Predictive Risk Model for A(H7N9) Human Infections Based on Spatial-Temporal Autocorrelation and Risk Factors: China, 2013–2014
This study investigated the spatial distribution, spatial autocorrelation, temporal cluster, spatial-temporal autocorrelation and probable risk factors of H7N9 outbreaks in humans from March 2013 to December 2014 in China. The results showed that the epidemic spread with significant spatial-temporal autocorrelation. In order to describe the spatial-temporal autocorrelation of H7N9, an improved model was developed by introducing a spatial-temporal…
East Asia and Solar Energy Trade Network Patterns
The extent to which core‐periphery hierarchical trade patterns have significantly changed with the emergence of Asia remains debated. This paper addresses the debate by examining the spatial patterns and mobility of Asian countries in global solar energy trade. Based on network analysis from 1990 to 2013, it shows that Japan, Singapore, and Malaysia emerged as core countries as early as 1990. The Asian core expanded to six countries by 2013, incl…
A Study on a Neural Network Risk Simulation Model Construction for Avian Influenza A (H7N9) Outbreaks in Humans in China during 2013–2017
The main purposes of this study were to explore the spatial distribution characteristics of H7N9 human infections during 2013-2017, and to construct a neural network risk simulation model of H7N9 outbreaks in China and evaluate their effects. First, ArcGIS 10.6 was used for spatial autocorrelation analysis, and cluster patterns ofH7N9 outbreaks were analyzed in China during 2013-2017 to detect outbreaks' hotspots. During the study period, the inc…
Agent Simulation Model of Covid-19 Epidemic Agent-Based on GIS: A Case Study of Huangpu District, Shanghai
Since the COVID-19 outbreak was detected and reported at the end of 2019, the pandemic continues worldwide, with public health authorities and the general public in each country struggling to balance safety and normal travel activities. However, the complex public health environment and the complexity of human behaviors, as well as the constant mutation of the COVID-19 virus, requires the development of theoretical and simulation tools to accurat…
Spatiotemporal Analysis and Risk Assessment Model Research of Diabetes among People over 45 Years Old in China
Diabetes, which is a chronic disease with a high prevalence in people over 45 years old in China, is a public health issue of global concern. In order to explore the spatiotemporal patterns of diabetes among people over 45 years old in China, to find out diabetes risk factors, and to assess its risk, we used spatial autocorrelation, spatiotemporal cluster analysis, binary logistic regression, and a random forest model in this study. The results o…
Tracking the urban expansion and its driving mechanisms behind Xinjiang Production and Construction Corps (XPCC): Evidence from morphology and landscapes
Cities are diverse, with their formation and expansion having various driving forces. Xinjiang Production and Construction Corps (XPCC) cities represent an emerging category in China's urban system. They have evolved into a special organisation integrating ‘party, government, military, and enterprises’ and are located in Xinjiang, the frontier region of north-western China. Investigation of such urban characteristics is helpful to enrich our dive…
A Survey of the Landscape Visibility Analysis Tools and Technical Improvements
Visual perception of the urban landscape in a city is complex and dynamic, and it is largely influenced by human vision and the dynamic spatial layout of the attractions. In return, landscape visibility not only affects how people interact with the environment but also promotes regional values and urban resilience. The development of visibility has evolved, and the digital landscape visibility analysis method allows urban researchers to redefine …
Achieving Carbon Neutrality through Urban Planning and Design
Much of the research on climate change has focused on carbon reduction in cities or countries. However, more attention needs to be paid to how to achieve carbon neutrality in the urban design and planning stage, and the lack of quantitative analysis of carbon related to urban space makes it difficult to locate urban space and provide direct guidance for urban planning and design. This study proposed three optimization paths to achieve carbon neut…
Exploring the relationship between urban residents' emotional changes and built environment before and during the Covid-19 pandemic from the perspective of resilience
Digital therapeutics for cognitive impairments associated with schizophrenia: Our opinion
Schizophrenia is a psychotic disorder characterized by hallucinations, delusions, disorganized thought and behavior, and psychomotor abnormalities. Cognitive deficits are core features, contributing to long-term morbidity and poor functional outcomes (McCutcheon, 2023). Thus, addressing cognitive deficits is a top research priority. However, the effectiveness of treatments for cognitive impairment associated with schizophrenia (CIAS) remains unce…
Projecting BVOC emissions under future urbanization and climate change: Spatiotemporal atmospheric risks and ecosystem service trade-offs
Unveiling the mechanisms linking urban plant diversity to human physiology health
Geography (10 works) · China (5 works) · Computer Science (5 works) · Medicine (5 works) · Data-Driven Disease Surveillance (4 works) · Economics (4 works) · Engineering (4 works) · COVID-19 epidemiological studies (3 works) · Economic geography (3 works) · Environmental health (3 works)