Network Interpolation
Network Interpolation is a spatial analysis method that estimates attribute values at unobserved locations along a network by leveraging the topological structure and distance relationships inherent in the network, distinguishing it from planar interpolation techniques through its adherence to network-constrained movement and connectivity.
64
Publications
2.9K
Citations
187
Authors
98
Institutions
Publications per year
2017–2026
19
Parents
64
Deep Network Interpolation for Continuous Imagery Effect Transition
Xintao Wang, Ke Yu, Chao Dong et al. · 2019 · 114 citations
1–5 of 64
187
4
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2
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Louisiana State University Health Sciences Center New Orleans, United States
2 publications · 60 citations
2
h-index
2
h-index
2
h-index
1–5 of 187
98
Hangzhou Normal University
Hangzhou, China
4 h-index
9 publications
281 citations
University of Science and Technology of China
Hefei, China
3 h-index
7 publications
167 citations
Tongji University
Shanghai, China
3 h-index
7 publications
213 citations

National Taiwan University
Taipei, Taiwan
2 h-index
5 publications
763 citations

University of Rochester
Rochester, United States
2 h-index
6 publications
262 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
235 citations
Tsinghua University
Beijing, China
2 h-index
2 publications
36 citations

Tohoku University
Sendai, Japan
2 h-index
5 publications
178 citations
1–8 of 98
4 publications · 209 citations
4
h-index
3 publications · 182 citations
3
h-index
2 publications · 75 citations
2
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2 publications · 73 citations
2
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2 publications · 60 citations
2
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1–5