Road Network Generalization
Road Network Generalization is a cartographic refinement process that selectively simplifies, aggregates, or enhances the structural representation of interconnected road pathways in a map while preserving their essential topological, geometric, and semantic characteristics for reduced-scale or abstracted spatial displays.
40
Publications
1.4K
Citations
109
Authors
55
Institutions
Publications per year
2017–2026
11
Parents
40
Learning Effective Road Network Representation with Hierarchical Graph Neural Networks
Ning Wu, Xin Zhao, Jingyuan Wang et al. · 2020 · 109 citations
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55

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
6 publications
223 citations
University of Zurich
Zurich, Switzerland
3 h-index
5 publications
165 citations
National Administration of Surveying, Mapping and Geoinformation of China
Beijing, China
3 h-index
7 publications
269 citations
China University of Geosciences
Wuhan, China
3 h-index
7 publications
352 citations
Wuhan University
Wuhan, China
3 h-index
6 publications
271 citations

Beijing University of Civil Engineering and Architecture
Beijing, China
2 h-index
2 publications
84 citations

Beihang University
Beijing, China
2 h-index
4 publications
524 citations

Yıldız Technical University
Istanbul, Türkiye
2 h-index
4 publications
74 citations
1–8 of 55
5 publications · 269 citations
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IJGI · 5 publications · 102 citations
5
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3 publications · 170 citations
3
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3 publications · 116 citations
3
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2 publications · 29 citations
2
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1–5