Explainable Visualization
Explainable Visualization is a type of visual representation that, as an academic concept, integrates transparent design principles and interpretability mechanisms to make the underlying data, analytical processes, and algorithmic reasoning of visual encodings explicitly understandable to human users.
45
Publications
2.1K
Citations
113
Authors
50
Institutions
Publications per year
2017–2026
33
Parents
45
Visual Analytics for Explainable Deep Learning
Jaegul Choo · IEEE Computer Graphics and Applications · 2018 · 267 citations
1–5 of 45
113
2
h-index
2
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 51 citations
2
h-index
2
h-index
2
h-index
1–5 of 113
50
Georgia Institute of Technology
Atlanta, United States
4 h-index
15 publications
2.5K citations
Singapore Management University
Singapore, Singapore
2 h-index
5 publications
155 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
3 publications
153 citations
Tsinghua University
Beijing, China
2 h-index
4 publications
420 citations

University of Duisburg-Essen
Essen, Germany
2 h-index
7 publications
152 citations
Oregon State University
Corvallis, United States
2 h-index
2 publications
354 citations
University of California, Davis
Davis, United States
2 h-index
4 publications
364 citations
Australian Regenerative Medicine Institute
Clayton, Australia
1 h-index
1 publications
51 citations
1–8 of 50
Repository · 5 publications · 158 citations
5
h-index
TVCG · 3 publications · 509 citations
4
h-index
Repository · 1 publications · 50 citations
1
h-index
Repository · 1 publications · 18 citations
1
h-index
TIIS · 1 publications · 36 citations
1
h-index
1–5