Visual Query Refinement
Visual Query Refinement is a visual interaction method that enables users to iteratively improve and narrow data queries through graphical representations and direct manipulation, distinguishing itself by integrating user feedback into the query process via real-time visual adjustments.
47
Publications
6.1K
Citations
167
Authors
68
Institutions
Publications per year
2017–2026
9
Parents
47
Christopher Ahlberg, Ben Shneiderman · 1994 · 831 citations
Zheng-Jun Zha, Linjun Yang, Tao Mei et al. · 2009 · 178 citations
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68
Microsoft Research Asia (China)
Beijing, China
4 h-index
14 publications
1.6K citations
University of Maryland, College Park
College Park, United States
3 h-index
6 publications
1.9K citations
University of Science and Technology of China
Hefei, China
3 h-index
5 publications
730 citations
University of Illinois Chicago
Chicago, United States
3 h-index
9 publications
560 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
44 citations

University of Regina
Regina, Canada
2 h-index
6 publications
105 citations
Ludwig-Maximilians-Universität München
Munich, Germany
2 h-index
6 publications
111 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
2 publications
39 citations
1–8 of 68
2 publications · 1.8K citations
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TVCG · 2 publications · 43 citations
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CRO · 1 publications · 1.6K citations
1
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1 publications · 19 citations
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1 publications · 20 citations
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