Xiangyuan Ma
Biographic Data
| ID | 6313317 |
|---|---|
| NAME | Xiangyuan Ma |
| GIVEN NAMES | Xiangyuan |
| FAMILY NAME | Ma |
| SIGNATURE | MA X |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0003-0958-1537 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 23 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
W-TextCNN: A TextCNN model with weighted word embeddings for Chinese address pattern classification
Measuring human perceptions of streetscapes to better inform urban renewal: A perspective of scene semantic parsing
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China
Assessing Spatial Accessibility to Hierarchical Urban Parks by Multi-Types of Travel Distance in Shenzhen, China
Urban green spaces play a critical role in public health and human wellbeing for urban residents. Due to the uneven spatial distribution of urban green spaces in most of cities, the issue of the disparity between supply and demand has aroused public concern. In a case of Shenzhen, a modified Gaussian-based two-step floating catchment area (2SFCA) method is adopted to evaluate the disparity between park provision and the demanders in terms of acce…
Assessing Spatial Accessibility to Hierarchical Urban Parks by Multi-Types of Travel Distance in Shenzhen, China
Urban green spaces play a critical role in public health and human wellbeing for urban residents. Due to the uneven spatial distribution of urban green spaces in most of cities, the issue of the disparity between supply and demand has aroused public concern. In a case of Shenzhen, a modified Gaussian-based two-step floating catchment area (2SFCA) method is adopted to evaluate the disparity between park provision and the demanders in terms of acce…
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China
Measuring human perceptions of streetscapes to better inform urban renewal: A perspective of scene semantic parsing
W-TextCNN: A TextCNN model with weighted word embeddings for Chinese address pattern classification
Artificial Intelligence (4 works) · Computer Science (4 works) · Geography (3 works) · Urban Green Space and Health (3 works) · Cartography (2 works) · Engineering (2 works) · Land Use and Ecosystem Services (2 works) · Mathematics (2 works) · Urban Transport and Accessibility (2 works) · Artificial neural network (1 works)