Visual Knowledge Representation
Visual Knowledge Representation is a scholarly construct in the field of knowledge visualization that refers to a method, model, framework, theory, dataset, task, or metric designed to encode, structure, and convey knowledge through visual forms, distinguishing it from non-visual or text-based representations by its reliance on graphical, spatial, or perceptual elements to facilitate understanding, reasoning, and communication of information.
814
Publications
64K
Citations
2.3K
Authors
716
Institutions
Publications per year
2017–2026
287
Parents
814
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu et al. · 2020 · 12K citations
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan et al. · 2019 · 1.1K citations
Having trouble with your strategy? Then map it.
Robert S. Kaplan, D. P. Norton · PubMed · 2001 · 1.1K citations
1–5 of 814
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716
Carnegie Mellon University
Pittsburgh, United States
14 h-index
36 publications
6.6K citations
University of Chinese Academy of Sciences
Beijing, China
12 h-index
36 publications
2.2K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
23 publications
2.3K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
40 publications
1.7K citations
University of California, Los Angeles
Los Angeles, United States
10 h-index
13 publications
1.8K citations
Tsinghua University
Beijing, China
10 h-index
18 publications
2.9K citations
Stanford University
Stanford, United States
10 h-index
32 publications
1.4K citations
University of Michigan
Ann Arbor, United States
10 h-index
25 publications
1.9K citations
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Repository · 58 publications · 4.6K citations
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TPAMI · 12 publications · 1.2K citations
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10 publications · 364 citations
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TVCG · 8 publications · 912 citations
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7 publications · 148 citations
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