6 citations · 8 across the 4 of their papers we have counts for
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cs.GR2019★ 1 cited
What Do People See in a Twenty-Second Glimpse of Bivariate Vector Field Visualizations?
Henan Zhao, Garnett W. Bryant, Wesley Griffin +2
Little is known about how people learn from a brief glimpse of three-dimensional (3D) bivariate vector field visualizations and about how well visual features can guide behavior. H…
cs.GR2019
Picturing Bivariate Separable-Features for Univariate Vector Magnitudes in Large-Magnitude-Range Quantum Physics Data
Henan Zhao, Jian Chen
We present study results from two experiments to empirically validate that separable bivariate pairs for univariate representations of large-magnitude-range vectors are more effici…
cs.GR2017★ 6 cited
Bivariate Separable-Dimension Glyphs can Improve Visual Analysis of Holistic Features
Henan Zhao, Jian Chen
We introduce the cause of the inefficiency of bivariate glyphs by defining the corresponding error. To recommend efficient and perceptually accurate bivariate-glyph design, we pres…