Vector Data Representation
Vector Data Representation is a spatial data representation method that uses geometric primitives—such as points, lines, and polygons—to model discrete geographic features, distinguishing itself from raster-based approaches by encoding location and topology through coordinate-based vector structures.
446
Publications
30.4K
Citations
1.4K
Authors
506
Institutions
Publications per year
2017–2026
209
Parents
446
A morphable model for the synthesis of 3D faces
Volker Blanz, Thomas Vetter · 1999 · 4.8K citations · Full text
Simple Features for R: Standardized Support for Spatial Vector Data
Edzer Pebesma · The R Journal · 2018 · 4.6K citations · Full text
Learned protein embeddings for machine learning
Kevin Yang, Zachary Wu, Claire N. Bedbrook et al. · Bioinformatics · 2018 · 349 citations · Full text
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University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
19 publications
593 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
17 publications
802 citations
Dalian University of Technology
Dalian, China
6 h-index
27 publications
621 citations
University of Southern California
Los Angeles, United States
5 h-index
16 publications
462 citations
Tongji University
Shanghai, China
5 h-index
18 publications
678 citations
The University of Tokyo
Tokyo, Japan
5 h-index
11 publications
279 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
12 publications
239 citations
Arizona State University
Tempe, United States
5 h-index
5 publications
131 citations
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Repository · 23 publications · 593 citations
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10 publications · 650 citations
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10 publications · 387 citations
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6 publications · 231 citations
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Conference · 6 publications · 242 citations
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