Multiscale Classification
Multiscale Classification is a computational framework that systematically categorizes patterns or entities across multiple spatial, temporal, or organizational scales by integrating hierarchical scale-specific features to enable accurate discrimination in complex, multi-resolution data environments.
99
Publications
7.3K
Citations
360
Authors
173
Institutions
Publications per year
2017–2026
42
Parents
99
Multi‐scale Feature Extraction on Point‐Sampled Surfaces
Mark V. Pauly, Richard Keiser · Computer Graphics Forum · 2003 · 551 citations · Full text
Multiscale characteristics of the emerging global cryptocurrency market
Physics Reports · 2020 · 235 citations · Full text
1–5 of 99
360
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Centre National de la Recherche Scientifique, France
3 publications · 124 citations
3
h-index
Universidade Estadual de Campinas (UNICAMP), Brazil
3 publications · 124 citations
3
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2
h-index
1–5 of 360
173

Chinese Academy of Sciences
Beijing, China
6 h-index
15 publications
769 citations

Rice University
Houston, United States
3 h-index
8 publications
302 citations

Xidian University
Xi'an, China
3 h-index
15 publications
636 citations
CY Cergy Paris Université
Cergy-Pontoise, France
3 h-index
7 publications
380 citations
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Nanjing, China
2 h-index
7 publications
299 citations
Universidade de São Paulo
São Paulo, Brazil
2 h-index
5 publications
170 citations

Hebei University of Technology
Tianjin, China
2 h-index
2 publications
221 citations
ETH Zurich
Zurich, Switzerland
2 h-index
4 publications
1.3K citations
1–8 of 173
10 publications · 941 citations
10
h-index
Repository · 5 publications · 85 citations
5
h-index
4 publications · 87 citations
4
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4 publications · 156 citations
4
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3 publications · 150 citations
3
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1–5