Symmetric Tensor Visualization is a methodological framework within tensor field visualization that specifically addresses the representation and analysis of symmetric tensor fields by exploiting their inherent mathematical properties to reduce redundancy and enhance interpretability in visual depictions.
8
Publications
567
Citations
17
Authors
8
Institutions
Publications per year
2017–2026
0
Parents
Publications
8
1–5 of 8
Authors
17
- GK
2
h-index
- TJ
2
h-index
- GT
1
h-index
- JH
1
h-index
- XZXiaoqiang Zheng
First Affiliated Hospital of Xi'an Jiaotong University, China
1 publications · 27 citations
1
h-index
1–5 of 17
Institutions
8
University of Chicago
Chicago, United States
2 h-index
4 publications
244 citations
Mississippi State University
Starkville, United States
2 h-index
4 publications
66 citations
Stanford University
Stanford, United States
1 h-index
2 publications
434 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
123 citations
Oregon State University
Corvallis, United States
1 h-index
3 publications
369 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
1 publications
123 citations
University of California, Santa Cruz
Santa Cruz, United States
1 h-index
2 publications
54 citations
Vital Research
Los Angeles, United States
1 h-index
1 publications
36 citations
1–8 of 8
Venues
- Computer Graphics Forum
3 publications · 53 citations
3
h-index
- IEEE Transactions on Visualization and Computer Graphics
TVCG · 3 publications · 270 citations
3
h-index
- IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
1 publications · 27 citations
1
h-index
- IEEE Computer Graphics and Applications
1 publications · 217 citations
1
h-index
1–4