Cross-filtering
Cross-Filtering is an interactive filtering technique that enables the selective highlighting or exclusion of data points across multiple linked visualizations by propagating filter constraints from one view to others, thereby enabling coordinated exploration of multidimensional datasets.
8
Publications
472
Citations
24
Authors
12
Institutions
Publications per year
2017–2026
2
8
Cross-based local multipoint filtering
Jiangbo Lu, Keyang Shi, Dongbo Min et al. · 2012 · 150 citations
Real-time foreground segmentation via range and color imaging
Ryan Crabb, Colin Tracey, Akshaya Shankar Puranik et al. · 2008 · 82 citations
1–5 of 8
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1–5 of 24
12
Advanced Digital Sciences Center
Singapore, Singapore
1 h-index
2 publications
300 citations

National University of Defense Technology
Changsha, China
1 h-index
1 publications
13 citations
Sogang University
Seoul, South Korea
1 h-index
3 publications
141 citations
University of California, Santa Cruz
Santa Cruz, United States
1 h-index
3 publications
246 citations
Medical University of South Carolina
Charleston, United States
1 h-index
4 publications
264 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
29 citations

University of Shanghai for Science and Technology
Shanghai, China
1 h-index
3 publications
39 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
2 publications
300 citations
1–8 of 12
TVCG · 1 publications · 65 citations
1
h-index
1 publications · 20 citations
1
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1 publications · 13 citations
1
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1 publications · 66 citations
1
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