Tensor Field Feature Extraction
Tensor Field Feature Extraction is a computational methodology within tensor field analysis that identifies and isolates structurally significant patterns, such as tensor invariants, eigenvector fields, or degenerate points, to enable the interpretation and visualization of underlying physical phenomena in multidimensional data.
25
Publications
1.7K
Citations
81
Authors
50
Institutions
Publications per year
2017–2026
7
Parents
25
1–5 of 25
81
3
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 81
50
Oregon State University
Corvallis, United States
3 h-index
13 publications
261 citations
Inserm
Paris, France
2 h-index
12 publications
308 citations

Brigham and Women's Hospital
Boston, United States
2 h-index
4 publications
178 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
2 publications
49 citations
University of Utah
Salt Lake City, United States
2 h-index
5 publications
874 citations
University of California, Santa Cruz
Santa Cruz, United States
2 h-index
5 publications
290 citations
Eunice Kennedy Shriver National Institute of Child Health and Human Development
Bethesda, United States
1 h-index
1 publications
145 citations

The University of Melbourne
Melbourne, Australia
1 h-index
2 publications
34 citations
1–8 of 50
TVCG · 5 publications · 170 citations
5
h-index
2 publications · 86 citations
2
h-index
JMR · 1 publications · 145 citations
1
h-index
1 publications · 59 citations
1
h-index
1 publications · 12 citations
1
h-index
1–5