Yingmei Wu
Biographic Data
| ID | 4417663 |
|---|---|
| NAME | Yingmei Wu |
| GIVEN NAMES | Yingmei |
| FAMILY NAME | Wu |
| SIGNATURE | WU Y |
| AFFILIATIONS | Yunnan Normal University |
| ORCID | 0000-0002-4332-3745 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The carbon emission effect of land gradient use in urban agglomerations
Land use is a critical driver of the sharp rise in global greenhouse gas emissions. Shaped by the interplay of socio-economic actions and natural processes, carbon emissions stemming from land use exhibit greater complexity than those originating solely within natural ecosystems. While previous research has examined carbon emissions associated with land use, it has largely concentrated on horizontal dimensions, leaving the vertical dimension rela…
Quantitative assessment of building losses in China’s coastal regions due to sea-level rise under extreme climate conditions
Against the backdrop of global climate change, the superposition of extreme sea level events and long-term sea-level rise poses a severe threat to coastal regions. However, there is currently a lack of large-scale and detailed quantitative assessments for building losses caused by sea-level rise. This study takes 14 coastal provinces (autonomous regions, municipalities, and special administrative regions) in China as the research area. By integra…
Machine learning identification of influencing factors of global Nation-Level hypertension prevalence
Hypertension remains a critical global public health challenge, with its complex etiology poorly captured by traditional linear models, especially regarding macro-level structural and gender-specific drivers. To address this, we employed an interpretable machine learning framework, combining XGBoost with SHAP and bootstrap resampling. This approach analyzed a global, nation-level panel dataset from 190 countries (1990-2019) across four macro dime…
Patterns of spatial inequality in China’s longevity population and its socio-economic influences
The United Nations Sustainable Development Goal 3 (SDG-3) aims to improve global health and well-being, requiring the implementation of a range of targeted strategies. The longevity population serves as a key indicator for assessing the health of a country or region. Understanding the spatial distribution and the underlying socio-economic and environmental determinants of longevity is crucial for improving public health. Notably, China exhibits s…
Impact of land market on the expansion of urban construction land in Shanghai, China
Ecosystem Health Responses of Urban Agglomerations in Central Yunnan Based on Land Use Change
Land use change in urban agglomerations is gradually becoming a major cause and a key factor of global environmental change. As a consequence of the interaction between land use and ecological processes, the transformation in natural ecosystem structure and function with human activity disturbances demands a systematic assessment of ecosystem health. Taking the Central Yunnan urban agglomeration, undergoing transition and development, as an examp…
Spatial Relationships and Impact Effects between Urbanization and Ecosystem Health in Urban Agglomerations along the Belt and Road
A healthy ecosystem is fundamental for sustainable urban development. Rapid urbanization has altered landscape patterns and ecological functions, resulting in disturbances to ecosystem health. Exploring the effects of urbanization on ecosystem health and the spatial relationships between them is significant for cities along the "Belt and Road" aiming to achieve sustainable regional development. This study took the Guangdong-Hong Kong-Macao Greate…
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Ecosystem Health Responses of Urban Agglomerations in Central Yunnan Based on Land Use Change
Land use change in urban agglomerations is gradually becoming a major cause and a key factor of global environmental change. As a consequence of the interaction between land use and ecological processes, the transformation in natural ecosystem structure and function with human activity disturbances demands a systematic assessment of ecosystem health. Taking the Central Yunnan urban agglomeration, undergoing transition and development, as an examp…
Spatial Relationships and Impact Effects between Urbanization and Ecosystem Health in Urban Agglomerations along the Belt and Road
A healthy ecosystem is fundamental for sustainable urban development. Rapid urbanization has altered landscape patterns and ecological functions, resulting in disturbances to ecosystem health. Exploring the effects of urbanization on ecosystem health and the spatial relationships between them is significant for cities along the "Belt and Road" aiming to achieve sustainable regional development. This study took the Guangdong-Hong Kong-Macao Greate…
Quantitative assessment of building losses in China’s coastal regions due to sea-level rise under extreme climate conditions
Against the backdrop of global climate change, the superposition of extreme sea level events and long-term sea-level rise poses a severe threat to coastal regions. However, there is currently a lack of large-scale and detailed quantitative assessments for building losses caused by sea-level rise. This study takes 14 coastal provinces (autonomous regions, municipalities, and special administrative regions) in China as the research area. By integra…
Machine learning identification of influencing factors of global Nation-Level hypertension prevalence
Hypertension remains a critical global public health challenge, with its complex etiology poorly captured by traditional linear models, especially regarding macro-level structural and gender-specific drivers. To address this, we employed an interpretable machine learning framework, combining XGBoost with SHAP and bootstrap resampling. This approach analyzed a global, nation-level panel dataset from 190 countries (1990-2019) across four macro dime…
Patterns of spatial inequality in China’s longevity population and its socio-economic influences
The United Nations Sustainable Development Goal 3 (SDG-3) aims to improve global health and well-being, requiring the implementation of a range of targeted strategies. The longevity population serves as a key indicator for assessing the health of a country or region. Understanding the spatial distribution and the underlying socio-economic and environmental determinants of longevity is crucial for improving public health. Notably, China exhibits s…
Impact of land market on the expansion of urban construction land in Shanghai, China
The carbon emission effect of land gradient use in urban agglomerations
Land use is a critical driver of the sharp rise in global greenhouse gas emissions. Shaped by the interplay of socio-economic actions and natural processes, carbon emissions stemming from land use exhibit greater complexity than those originating solely within natural ecosystems. While previous research has examined carbon emissions associated with land use, it has largely concentrated on horizontal dimensions, leaving the vertical dimension rela…
Land Use and Ecosystem Services (4 works) · China (3 works) · Economic geography (3 works) · Geography (3 works) · Land use (3 works) · Urban agglomeration (3 works) · Ecology (2 works) · Ecosystem (2 works) · Ecosystem health (2 works) · Ecosystem services (2 works)