Qiu Yang
Biographic Data
| ID | 6705742 |
|---|---|
| NAME | Qiu Yang |
| GIVEN NAMES | Qiu |
| FAMILY NAME | Yang |
| SIGNATURE | YANG Q |
| AFFILIATIONS | Beijing Normal University |
| ORCID | 0009-0002-4328-3488 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Medication literacy among patients with chronic diseases in long-term care facilities
Objective: This study aims to examine the potential medication literacy profiles of patients with chronic diseases in long-term care facilities and to analyze the influencing factors, thereby providing a basis for developing targeted intervention programs. Methods: This study conducted a cross-sectional study among 403 older patients with chronic diseases in 41 long-term care facilities in Nanchong City, China, from January to April 2025. Latent …
How civil society organizations influence environmental governance in the Global South
Coupling Hyperbolic GCN with Graph Generation for Spatial Community Detection and Dynamic Evolution Analysis
Spatial community detection is a method that divides geographic spaces into several sub-regions based on spatial interactions, reflecting the regional spatial structure against the background of human mobility. In recent years, spatial community detection has attracted extensive research in the field of geographic information science. However, mining the community structures and their evolutionary patterns from spatial interaction data remains ch…
An Integrated Spatial Autoregressive Model for Analyzing and Simulating Urban Spatial Growth in a Garden City, China
In the past, the research on models related to urban land-use change and prediction was greatly complicated by the high precision of models. When planning some garden cities, we should explore a more applicable, specific, and effective macro approach than the community-level one. In this study, a model consisting of spatial autoregressive (SAR), cellular automata (CA), and Markov chains is constructed. One It can well-consider the spatial autocor…
An Integration Method for Regional PM2.5 Pollution Control Optimization Based on Meta-Analysis and Systematic Review
PM 2.5 pollution in China is becoming increasingly severe, threatening public health. The major goal of this study is to evaluate the mortality rate attributed to PM 2.5 pollution and design pollution mitigation schemes in a southern district of China through a two-objective optimization model. The mortality rate is estimated by health effect evaluation model. Subjected to limited data information, it is assumed that the meta-analysis method, thr…
An Upscaling Method for Cover-Management Factor and Its Application in the Loess Plateau of China
The cover-management factor (C-factor) is important for studying soil erosion. In addition, it is important to use sampling plot data to estimate the regional C-factor when assessing erosion and soil conservation. Here, the loess hill and gully region in Ansai County, China, was studied to determine a method for computing the C-factor. This C-factor is used in the Universal Soil Loss Equation (USLE) at a regional scale. After upscaling the slope-…
Plantation development
Plantation development
An Upscaling Method for Cover-Management Factor and Its Application in the Loess Plateau of China
The cover-management factor (C-factor) is important for studying soil erosion. In addition, it is important to use sampling plot data to estimate the regional C-factor when assessing erosion and soil conservation. Here, the loess hill and gully region in Ansai County, China, was studied to determine a method for computing the C-factor. This C-factor is used in the Universal Soil Loss Equation (USLE) at a regional scale. After upscaling the slope-…
An Integration Method for Regional PM2.5 Pollution Control Optimization Based on Meta-Analysis and Systematic Review
PM 2.5 pollution in China is becoming increasingly severe, threatening public health. The major goal of this study is to evaluate the mortality rate attributed to PM 2.5 pollution and design pollution mitigation schemes in a southern district of China through a two-objective optimization model. The mortality rate is estimated by health effect evaluation model. Subjected to limited data information, it is assumed that the meta-analysis method, thr…
An Integrated Spatial Autoregressive Model for Analyzing and Simulating Urban Spatial Growth in a Garden City, China
In the past, the research on models related to urban land-use change and prediction was greatly complicated by the high precision of models. When planning some garden cities, we should explore a more applicable, specific, and effective macro approach than the community-level one. In this study, a model consisting of spatial autoregressive (SAR), cellular automata (CA), and Markov chains is constructed. One It can well-consider the spatial autocor…
Coupling Hyperbolic GCN with Graph Generation for Spatial Community Detection and Dynamic Evolution Analysis
Spatial community detection is a method that divides geographic spaces into several sub-regions based on spatial interactions, reflecting the regional spatial structure against the background of human mobility. In recent years, spatial community detection has attracted extensive research in the field of geographic information science. However, mining the community structures and their evolutionary patterns from spatial interaction data remains ch…
How civil society organizations influence environmental governance in the Global South
Medication literacy among patients with chronic diseases in long-term care facilities
Objective: This study aims to examine the potential medication literacy profiles of patients with chronic diseases in long-term care facilities and to analyze the influencing factors, thereby providing a basis for developing targeted intervention programs. Methods: This study conducted a cross-sectional study among 403 older patients with chronic diseases in 41 long-term care facilities in Nanchong City, China, from January to April 2025. Latent …
Environmental Science (5 works) · Geography (5 works) · China (3 works) · Mathematics (3 works) · Remote sensing (3 works) · Business (2 works) · Computer Science (2 works) · Finance (2 works) · Land use (2 works) · Physical geography (2 works)