Jianhua Wu
Biographic Data
| ID | 6877273 |
|---|---|
| NAME | Jianhua Wu |
| GIVEN NAMES | Jianhua |
| FAMILY NAME | Wu |
| SIGNATURE | WU J |
| AFFILIATIONS | Chang'an University |
| ORCID | 0000-0001-6423-1762 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Healthcare deprivation matters
Objectives Aging anxiety is not only a health issue but also a stress response to the structural risk of insufficient medical resources. This study aims to reveal the impact of aging anxiety on individual healthcare utilization and the complex psychosocial mechanisms behind it. Methods Based on large-scale data from the 2021 Chinese General Social Survey (CGSS), the study employs a Double Machine Learning (DML) method to build a causal inference …
Cost-effective operation strategies to secure drinking water accompanied by low emissions by water safety plans
Inadequate energy management leads to more emission exposure, which causes climate change, severe environmental contamination, and human health risks. Therefore, the World Health Organisation (WHO) monitors universal efforts to prevent emissions and encourages governments to develop industries to transform the green economy. During the current study, the energy and cost variation was observed through three years (2020, 2021, and 2022) at a surfac…
An Automatic Extraction Method for Hatched Residential Areas in Raster Maps Based on Multi-Scale Feature Fusion
Extracting the residential areas from digital raster maps is beneficial for research on land use change analysis and land quality assessment. In traditional methods for extracting residential areas in raster maps, parameters must be set manually; these methods also suffer from low extraction accuracy and inefficiency. Therefore, we have proposed an automatic method for extracting the hatched residential areas from raster maps based on a multi-sca…
No prominent works on this page.
An Automatic Extraction Method for Hatched Residential Areas in Raster Maps Based on Multi-Scale Feature Fusion
Extracting the residential areas from digital raster maps is beneficial for research on land use change analysis and land quality assessment. In traditional methods for extracting residential areas in raster maps, parameters must be set manually; these methods also suffer from low extraction accuracy and inefficiency. Therefore, we have proposed an automatic method for extracting the hatched residential areas from raster maps based on a multi-sca…
Healthcare deprivation matters
Objectives Aging anxiety is not only a health issue but also a stress response to the structural risk of insufficient medical resources. This study aims to reveal the impact of aging anxiety on individual healthcare utilization and the complex psychosocial mechanisms behind it. Methods Based on large-scale data from the 2021 Chinese General Social Survey (CGSS), the study employs a Double Machine Learning (DML) method to build a causal inference …
Cost-effective operation strategies to secure drinking water accompanied by low emissions by water safety plans
Inadequate energy management leads to more emission exposure, which causes climate change, severe environmental contamination, and human health risks. Therefore, the World Health Organisation (WHO) monitors universal efforts to prevent emissions and encourages governments to develop industries to transform the green economy. During the current study, the energy and cost variation was observed through three years (2020, 2021, and 2022) at a surfac…
Anxiety (1 works) · Artificial Intelligence (1 works) · Business (1 works) · Cartography (1 works) · Computer Science (1 works) · Computer vision (1 works) · Conditional random field (1 works) · Economic shortage (1 works) · Economics (1 works) · Empirical research (1 works)