Visualizing high-dimensional data: advances in the past decade
Abstract
Massive simulations and arrays of sensing devices, in combination with increasing computing resources, have generated large, complex, high-dimensional datasets used to study phenomena across numerous fields of study. Visualization plays an important role in exploring such datasets. We provide a comprehensive survey of advances in high-dimensional data visualization that focuses on the past decade. We aim at providing guidance for data practitioners to navigate through a modular view of the recent advances, inspiring the creation of new visualizations along the enriched visualization pipeline, and identifying future opportunities for visualization research.
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Cites
(2008) · Journal of Machine Learning Research · Cited by 33,051 · see citing works
Nonlinear Dimensionality Reduction by Locally Linear Embedding
Roweis, S. T., & Saul, L. K. (2000) · Science · doi:10.1126/science.290.5500.2323 · Cited by 14,965 · see citing works
Jolliffe, I. T. (2005) · Wiley eBooks · doi:10.1002/0470013192.bsa501 · Cited by 14,522 · see citing works
A Global Geometric Framework for Nonlinear Dimensionality Reduction
Tenenbaum, J. B., Silva, V. D., & Langford, J. C. (2000) · Science · doi:10.1126/science.290.5500.2319 · Cited by 13,585 · see citing works
A tutorial on support vector regression
Smola, A. J., & Schölkopf, B. (2004) · Statistics and Computing · doi:10.1023/b:stco.0000035301.49549.88 · Cited by 13,482 · see citing works
David, F. N., & Tukey, J. W. (1977) · Biometrics · doi:10.2307/2529486 · Cited by 12,707 · see citing works
Goodall, C. R., & Jolliffe, I. T. (1988) · Technometrics · doi:10.2307/1270093 · Cited by 8,677 · see citing works
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
Belkin, M., & Niyogi, P. (2003) · Neural Computation · doi:10.1162/089976603321780317 · Cited by 7,562 · see citing works
Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis
Kruskal, J. B. (1964) · Psychometrika · doi:10.1007/bf02289565 · Cited by 7,270 · see citing works
Readings in Information Visualization: Using Vision to Think
Card, S. K., Mackinlay, J. D., & Shneiderman, B. (1999) · Cited by 3,959 · see citing works
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Elhamifar, E., & Vidal, R. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.57 · Cited by 3,130 · see citing works
Carlsson, G. (2009) · Bulletin of the American Mathematical Society · doi:10.1090/s0273-0979-09-01249-x · Cited by 2,302 · cited 1× · see citing works
“(see [73], [74], [75], [76], [77], [78], [79] for seminal works and surveys), has provided efficient and reliable feature-”
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Rasmussen, C. E., & Williams, C. K. I. (2005) · The MIT Press eBooks · Cited by 1,829 · see citing works
Visualization Analysis and Design
Munzner, T. (2014) · A K Peters/CRC Press eBooks · doi:10.1201/b17511 · Cited by 1,736 · see citing works
Computational topology an introduction
Edelsbrunner, H., & Harer, J. (2010) · Cited by 1,718 · see citing works
A Projection Pursuit Algorithm for Exploratory Data Analysis
Friedman, J. H., & Tukey, J. W. (1974) · IEEE Transactions on Computers · doi:10.1109/t-c.1974.224051 · Cited by 1,663 · see citing works
Information visualization and visual data mining
Keim, D. A. (2002) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/2945.981847 · Cited by 1,636 · see citing works
Birch, J. B., & Tukey, J. W. (1978) · Journal of the American Statistical Association · doi:10.2307/2286300 · Cited by 1,465 · see citing works
Tree visualization with tree-maps
Shneiderman, B. (1992) · ACM Transactions on Graphics · doi:10.1145/102377.115768 · Cited by 1,333 · see citing works
Stability of Persistence Diagrams
Cohen-Steiner, D., Edelsbrunner, H., & Harer, J. (2007) · Discrete & Computational Geometry · doi:10.1007/s00454-006-1276-5 · Cited by 1,280 · see citing works
The Use of Faces to Represent Points in k-Dimensional Space Graphically
Chernoff, H. (1973) · Journal of the American Statistical Association · doi:10.1080/01621459.1973.10482434 · Cited by 1,274 · see citing works
Random projection in dimensionality reduction
Bingham, E., & Mannila, H. (2001) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/502512.502546 · Cited by 1,273 · see citing works
Barcodes: the persistent topology of data
Ghrist, R. (2007) · Bulletin of the American Mathematical Society · doi:10.1090/s0273-0979-07-01191-3 · Cited by 1,236 · see citing works
Berchtold, S., Keim, D. A., & Kriegel, H. (2002) · Elsevier eBooks · doi:10.1016/b978-155860651-7/50124-8 · Cited by 1,123 · see citing works
Visual Analytics: Definition, Process, and Challenges
Keim, D. A., Andrienko, G., Fekete, J., Görg, C., Kohlhammer, J., & Mélançon, G. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-70956-5_7 · Cited by 1,091 · see citing works
Hastie, T., & Stuetzle, W. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478797 · Cited by 940 · see citing works
Edelsbrunner, H., & Harer, J. (2008) · Contemporary mathematics - American Mathematical Society · doi:10.1090/conm/453/08802 · Cited by 875 · see citing works
Rao, R., & Card, S. K. (1994) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/191666.191776 · Cited by 673 · see citing works
Polaris: a system for query, analysis, and visualization of multidimensional relational databases
Stolte, C., Tang, D., & Hanrahan, P. (2002) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/2945.981851 · Cited by 639 · see citing works
Statistical topological data analysis using persistence landscapesPreprint
Bubenik, P. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1207.6437 · Cited by 628 · see citing works
Clarke, R. C., Ressom, H. W., Wang, A., Xuan, J., Liu, M., Gehan, E. A., & Wang, Y. (2007) · Nature reviews. Cancer · doi:10.1038/nrc2294 · Cited by 601 · see citing works
Approaches to uncertainty visualization
Pang, A., Wittenbrink, C. M., & Lodha, S. K. (1997) · The Visual Computer · doi:10.1007/s003710050111 · Cited by 548 · see citing works
Entropy-based subspace clustering for mining numerical data
Cheng, C. H., Fu, A. W.-C., & Zhang, Y. (1999) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/312129.312199 · Cited by 548 · see citing works
Nicolau, M. M., Levine, A. J., & Carlsson, G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1102826108 · Cited by 516 · see citing works
From visual data exploration to visual data mining: A survey
de Oliveira, M. C. F., & Levkowitz, H. (2003) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2003.1207445 · Cited by 515 · see citing works
Topological Methods for the Analysis of High Dimensional Data Sets and 3D Object Recognition
Singh, G., Memoli, F., & Carlsson, G. (2007) · The Eurographics Association · doi:10.2312/spbg/spbg07/091-100 · Cited by 514 · see citing works
A review and taxonomy of distortion-oriented presentation techniques
Leung, Y. K., & Apperley, M. D. (1994) · ACM Transactions on Computer-Human Interaction · doi:10.1145/180171.180173 · Cited by 500 · see citing works
Callahan, S. P., Freire, J., Santos, E., Scheidegger, C., Silva, C. T., & Vo, H. T. (2006) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1142473.1142574 · Cited by 480 · see citing works
Computing contour trees in all dimensions
Carr, H. A., Snoeyink, J. S., & Axen, U. (2002) · Computational Geometry · doi:10.1016/s0925-7721(02)00093-7 · Cited by 461 · see citing works
Animated Transitions in Statistical Data Graphics
Heer, J., & Robertson, G. G. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70539 · Cited by 438 · see citing works
The State of the Art in Flow Visualisation: Feature Extraction and Tracking
Post, F. H., Vrolijk, B., Hauser, H., Laramee, R. S., & Doleisch, H. (2003) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2003.00723.x · Cited by 429 · see citing works
Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation
Elmqvist, N., Dragicevic, P., & Fekete, J. (2008) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2008.153 · Cited by 426 · see citing works
The X Tree: An Index Structure for High Dimensional Data
Berchtold, S., Keim, D. A., & Kriegel, H.-P. (1996) · KOPS (University of Konstanz) · Cited by 414 · see citing works
Smale, S. T. (1961) · Annals of Mathematics · doi:10.2307/1970311 · Cited by 404 · see citing works
The Use of Faces to Represent Points in K-Dimensional Space Graphically
Chernoff, H. (1973) · Journal of the American Statistical Association · doi:10.2307/2284077 · Cited by 396 · see citing works
Visualization techniques for mining large databases: a comparison
Keim, D. A., & Kriegel, H.-P. (1996) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.553159 · Cited by 375 · see citing works
A Taxonomy of Clutter Reduction for Information Visualisation
Ellis, G., & Dix, A. J. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70535 · Cited by 374 · see citing works
Inselberg, A. (2009) · Springer eBooks · doi:10.1007/978-0-387-68628-8 · Cited by 369 · see citing works
Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey
Kehrer, J., & Hauser, H. (2012) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.110 · Cited by 367 · see citing works
XmdvTool: integrating multiple methods for visualizing multivariate data
Ward, M. O. (1994) · IEEE Visualization · doi:10.5555/951087.951146 · Cited by 356 · see citing works
Statistical topological data analysis using persistence landscapes
BubenikPeter (2015) · Journal of Machine Learning Research · doi:10.5555/2789272.2789275 · Cited by 342 · see citing works
Interactive High-Dimensional Data Visualization
Buja, A., Cook, D., & Swayne, D. F. (1996) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1996.10474696 · Cited by 333 · see citing works
Zomorodian, A. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511546945 · Cited by 325 · see citing works
Paulovich, F. V., Nonato, L. G., Minghim, R., & Levkowitz, H. (2008) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70443 · Cited by 317 · see citing works
LineUp: Visual Analysis of Multi-Attribute Rankings
Gratzl, S., Lex, A., Gehlenborg, N., Pfister, H., & Streit, M. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.173 · Cited by 308 · see citing works
Quality assessment of dimensionality reduction: Rank-based criteria
Lee, J. A., & Verleysen, M. (2009) · Neurocomputing · doi:10.1016/j.neucom.2008.12.017 · Cited by 306 · see citing works
VisDB: database exploration using multidimensional visualization
Keim, D. A., & Kriegel, H.-P. (1994) · IEEE Computer Graphics and Applications · doi:10.1109/38.310723 · Cited by 304 · see citing works
Hierarchical Morse--Smale Complexes for Piecewise Linear 2-Manifolds
Edelsbrunner, H., Harer, J., & Zomorodian, A. (2003) · Discrete & Computational Geometry · doi:10.1007/s00454-003-2926-5 · Cited by 298 · see citing works
Top scientific visualization research problems
Johnson, C. R. (2004) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2004.20 · Cited by 290 · see citing works
Reeb graphs for shape analysis and applications
Biasotti, S., Giorgi, D., Spagnuolo, M., & Falcidieno, B. (2007) · Theoretical Computer Science · doi:10.1016/j.tcs.2007.10.018 · Cited by 281 · see citing works
Local Affine Multidimensional Projection
Joia, P., Paulovich, F. V., Coimbra, D. B., Cuminato, J. A., & Nonato, L. G. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.220 · Cited by 278 · see citing works
Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization
Bertini, E., Tatu, A., & Keim, D. A. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.229 · Cited by 259 · see citing works
Glyphs for visualizing uncertainty in vector fields
Wittenbrink, C. M., Pang, A., & Lodha, S. K. (1996) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/2945.537309 · Cited by 253 · see citing works
Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty
Sanyal, J., Zhang, S., Dyer, J. L., Mercer, A., Amburn, P., & Moorhead, R. J., II (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.181 · Cited by 252 · see citing works
Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering
Peng, W., Ward, M. O., & Rundensteiner, E. A. (2004) · Cited by 248 · see citing works
Morse-smale complexes for piecewise linear 3-manifolds
Edelsbrunner, H., Harer, J., Natarajan, V., & Pascucci, V. (2003) · Annual Symposium on Computational Geometry (SoCG) · doi:10.1145/777792.777846 · Cited by 237 · see citing works
Self-citationThe Nonlinear Statistics of High-Contrast Patches in Natural Images
Lee, A. B., Pedersen, K. S., & Mumford, D. (2003) · International Journal of Computer Vision · doi:10.1023/a:1023705401078 · Cited by 234 · see citing works
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data
Potter, K. C., Wilson, A. T., Bremer, P., Williams, D. N., Doutriaux, C. M., Pascucci, V., & Johnson, C. R. (2009) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2009.55 · Cited by 225 · see citing works
Self-citation30 Years of Multidimensional Multivariate Visualization
Wong, P. C., & Bergeron, R. D. (1997) · Cited by 223 · see citing works
iPCA: An Interactive System for PCA‐based Visual Analytics
Jeong, D. H., Ziemkiewicz, C., Fisher, B., Ribarsky, W., & Chang, R. (2009) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2009.01475.x · Cited by 223 · see citing works
Wilkinson, L., Anand, A., & Grossman, R. L. (2006) · IEEE Symposium on Information Visualization · doi:10.1109/infovis.2005.14 · Cited by 218 · see citing works
A Review of Uncertainty in Data Visualization
Brodlie, K., Osorio, R. S. A., & Lopes, A. (2012) · Springer eBooks · doi:10.1007/978-1-4471-2804-5_6 · Cited by 217 · see citing works
State of the Art of Parallel Coordinates
Heinrich, J., & Weiskopf, D. (2012) · Eurographics · doi:10.2312/conf/eg2013/stars/095-116 · Cited by 216 · see citing works
XmdvTool: integrating multiple methods for visualizing multivariate data
Ward, M. O. (2002) · doi:10.1109/visual.1994.346302 · Cited by 216 · see citing works
Describing shapes by geometrical-topological properties of real functions
Biasotti, S., Floriani, L. D., Falcidieno, B., Frosini, P., Giorgi, D., Landi, C., Papaleo, L., & Spagnuolo, M. (2008) · ACM Computing Surveys · doi:10.1145/1391729.1391731 · Cited by 213 · see citing works
A topological hierarchy for functions on triangulated surfaces
Bremer, P., Bernd Hamann, A., Edelsbrunner, H., & Pascucci, V. (2004) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2004.3 · Cited by 207 · see citing works
Self-citationGGobi: evolving from XGobi into an extensible framework for interactive data visualization
Swayne, D. F., Lang, D. T., Buja, A., & Cook, D. (2002) · Computational Statistics & Data Analysis · doi:10.1016/s0167-9473(02)00286-4 · Cited by 207 · see citing works
Selecting good views of high‐dimensional data using class consistency
Sips, M., Neubert, B., Lewis, J. P., & Hanrahan, P. (2009) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2009.01467.x · Cited by 206 · see citing works
Outlier-Preserving Focus+Context Visualization in Parallel Coordinates
Novotný, M., & Hauser, H. (2006) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2006.170 · Cited by 195 · see citing works
Dis-function: Learning distance functions interactively
Brown, E. T., Liu, J., Brodley, C. E., & Chang, R. (2012) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2012.6400486 · Cited by 194 · see citing works
A Practical Approach to Morse-Smale Complex Computation: Scalability and Generality
Gyulassy, A. G., Bremer, P., Bernd Hamann, A., & Pascucci, V. (2008) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2008.110 · Cited by 191 · see citing works
Self-citationRobust on-line computation of Reeb graphs
Pascucci, V., Scorzelli, G., Bremer, P., & Mascarenhas, A. (2007) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1275808.1276449 · Cited by 189 · see citing works
Self-citationStar Coordinates: A Multi-dimensional Visualization Technique with Uniform Treatment of Dimensions
Kandogan, E. (2000) · Cited by 188 · see citing works
'Circle Segments': A Technique for Visually Exploring Large Multidimensional Data Sets
Ankerst, M., Keim, D. A., & Kriegel, H. (1996) · KOPS (University of Konstanz) · Cited by 187 · see citing works
From Quantification to Visualization: A Taxonomy of Uncertainty Visualization Approaches
Potter, K. C., Rosen, P., & Johnson, C. R. (2012) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-3-642-32677-6_15 · Cited by 186 · see citing works
DNA visual and analytic data mining
Hoffman, P., Grinstein, G., Marx, K. A., Große, I., & Stanley, E. (2002) · Visualization · doi:10.1109/visual.1997.663916 · Cited by 179 · see citing works
Splatterplots: Overcoming Overdraw in Scatter Plots
Mayorga, A., & Gleicher, M. L. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.65 · Cited by 178 · see citing works
Empirical Guidance on Scatterplot and Dimension Reduction Technique Choices
Sedlmair, M., Munzner, T., & Tory, M. K. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.153 · Cited by 178 · see citing works
Robust on-line computation of Reeb graphs
Pascucci, V., Scorzelli, G., Bremer, P., & Mascarenhas, A. (2007) · ACM Transactions on Graphics · doi:10.1145/1276377.1276449 · Cited by 178 · see citing works
Self-citationIntroduction to Focus Issue: Lagrangian Coherent Structures
Peacock, T., & Dabiri, J. O. (2010) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.3278173 · Cited by 174 · see citing works
Yang, J., Peng, W., Ward, M. O., & Rundensteiner, E. A. (2003) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2003.1249015 · Cited by 173 · see citing works
Visual Clustering in Parallel Coordinates
Zhou, H., Yuan, X., Qu, H., Cui, W., & Chen, B. (2008) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2008.01241.x · Cited by 173 · see citing works
BaobabView: Interactive construction and analysis of decision trees
van den Elzen, S., & van Wijk, J. J. (2011) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2011.6102453 · Cited by 172 · see citing works
A Survey of Topology‐based Methods in Visualization
Heine, C., Leitte, H., Hlawitschka, M. W., Iuricich, F., Floriani, L. D., Scheuermann, G., Hagen, H., & Garth, C. (2016) · Computer Graphics Forum · doi:10.1111/cgf.12933 · Cited by 165 · see citing works
Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering
Peng, W., Ward, M. O., & Rundensteiner, E. A. (2005) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2004.15 · Cited by 165 · see citing works
Topology-Based Flow Visualization, The State of the Art
Laramee, R. S., Hauser, H., Zhao, L., & Post, F. H. (2007) · Mathematics and visualization · doi:10.1007/978-3-540-70823-0_1 · Cited by 158 · see citing works
Bachthaler, S., & Weiskopf, D. (2008) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2008.119 · Cited by 155 · see citing works
Wilkinson, L., Anand, A., & Grossman, R. L. (2005) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2005.1532142 · Cited by 154 · see citing works
Keim, D. A., Mansmann, F., & Thomas, J. (2010) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1809400.1809403 · Cited by 150 · see citing works
Visualization of Multi‐Variate Scientific Data
Fuchs, R., & Hauser, H. (2009) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2009.01429.x · Cited by 142 · see citing works
Pargnostics: Screen-Space Metrics for Parallel Coordinates
Dasgupta, A., & Kosara, R. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.184 · Cited by 140 · see citing works
Scattering Points in Parallel Coordinates
Yuan, X., Guo, P., Xiao, H., Zhou, H., & Qu, H. (2009) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2009.179 · Cited by 135 · see citing works
Tatu, A., Albuquerque, G., Eisemann, M., Schneidewind, J., Theisel, H., Magnor, M. A., & Keim, D. A. (2009) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2009.5332628 · Cited by 134 · see citing works
DICON: Interactive Visual Analysis of Multidimensional Clusters
Cao, N., Gotz, D., Sun, J., & Qu, H. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.188 · Cited by 134 · see citing works
Revealing Structure within Clustered Parallel Coordinates Displays
Johansson, J., Ljung, P., Jern, M., & Cooper, M. D. (2006) · IEEE Symposium on Information Visualization · doi:10.1109/infovis.2005.30 · Cited by 134 · see citing works
Flexible Linked Axes for Multivariate Data Visualization
Claessen, J. H. T., & van Wijk, J. J. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.201 · Cited by 132 · see citing works
Mühlbacher, T., Piringer, H., Gratzl, S., Sedlmair, M., & Streit, M. (2014) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2014.2346578 · Cited by 131 · see citing works
Interactive High-Dimensional Data Visualization
Buja, A., Cook, D., & Swayne, D. F. (1996) · Journal of Computational and Graphical Statistics · doi:10.2307/1390754 · Cited by 130 · see citing works
Uncertainty‐Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction
Berger, W., Piringer, H., Peter Filzmoser, A., & Groller, E. M. (2011) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2011.01940.x · Cited by 129 · see citing works
InterRing: an interactive tool for visually navigating and manipulating hierarchical structures
Yang, J., Ward, M. O., & Rundensteiner, E. A. (2003) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2002.1173151 · Cited by 129 · see citing works
The Visualization of Uncertain Data: Methods and Problems.
Griethe, H., & Schumann, H. (2006) · SimVis · Cited by 127 · see citing works
Multivariate Data Glyphs: Principles and Practice
Ward, M. O. (2007) · Springer eBooks · doi:10.1007/978-3-540-33037-0_8 · Cited by 125 · see citing works
Interactive Dimensionality Reduction Through User-defined Combinations of Quality Metrics
Johansson, S. M., & Johansson, J. (2009) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2009.153 · Cited by 124 · see citing works
Stahnke, J., Dörk, M., Müller, B., & Thom, A. (2015) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467717 · Cited by 119 · see citing works
Visualizing scalar volumetric data with uncertainty
Djurcilov, S., Kim, K., Lermusiaux, P. F. J., & Pang, A. (2002) · Computers & Graphics · doi:10.1016/s0097-8493(02)00055-9 · Cited by 113 · see citing works
Torsney-Weir, T., Saad, A., Möller, T. B., Hege, H., Weber, B., Verbavatz, J., & Bergner, S. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.248 · Cited by 112 · see citing works
Seo, J., & Shneiderman, B. (2004) · University Libraries (University of Maryland) · Cited by 112 · see citing works
Illustrative Parallel Coordinates
McDonnell, K. T., & Mueller, K. D. (2008) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2008.01239.x · Cited by 111 · see citing works
Recursive pattern: a technique for visualizing very large amounts of data
Keim, D. A., Kriegel, H.-P., & Ankerst, M. (2002) · doi:10.1109/visual.1995.485140 · Cited by 111 · see citing works
Two-Phase Mapping for Projecting Massive Data Sets
Paulovich, F. V., Silva, C. T., & Nonato, L. G. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.207 · Cited by 110 · see citing works
Continuous Parallel Coordinates
Heinrich, J., & Weiskopf, D. (2009) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2009.131 · Cited by 110 · see citing works
Visual Analysis and Dissemination of Scientific Literature Collections with SurVis
Beck, F., Koch, S., & Weiskopf, D. (2015) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467757 · Cited by 110 · see citing works
Uncovering Clusters in Crowded Parallel Coordinates Visualizations
Artero, A. O., de Oliveira, M. C. F., & Levkowitz, H. (2005) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2004.68 · Cited by 107 · see citing works
A framework for uncertainty-aware visual analytics
Correa, C. D., Chan, Y., & Ma, K. (2009) · IEEE Symposium on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2009.5332611 · Cited by 105 · see citing works
Wilkinson, L., Anand, A., & Grossman, R. L. (2006) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2006.94 · Cited by 105 · see citing works
Yuan, X., Ren, D., Wang, Z., & Guo, C. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.150 · Cited by 104 · see citing works
Seo, J., & Shneiderman, B. (2006) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2006.50 · Cited by 104 · see citing works
Parallel Sets: Visual Analysis of Categorical Data
Bendix, F., Kosara, R., & Hauser, H. (2006) · IEEE Symposium on Information Visualization · doi:10.1109/infovis.2005.27 · Cited by 101 · see citing works
Topological Landscapes: A Terrain Metaphor for Scientific Data
Weber, G. H., Bremer, P., & Pascucci, V. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70601 · Cited by 101 · see citing works
Self-citationGuo, D. (2003) · Information Visualization · doi:10.1057/palgrave.ivs.9500053 · Cited by 98 · see citing works
A survey of visualizations for high-dimensional data mining
Hoffman, P., & Grinstein, G. (2001) · Morgan Kaufmann Publishers Inc. eBooks · Cited by 96 · see citing works
InterAxis: Steering Scatterplot Axes via Observation-Level Interaction
Kim, H., Choo, J., Park, H., & Endert, A. (2015) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467615 · Cited by 96 · see citing works
Topology-based Simplification for Feature Extraction from 3D Scalar Fields
Gyulassy, A. G., Natarajan, V., Pascucci, V., Bremer, P., & Bernd Hamann, A. (2006) · doi:10.1109/vis.2005.106 · Cited by 96 · see citing works
Self-citationVisual Exploration of High Dimensional Scalar Functions
Gerber, S., Bremer, P., Pascucci, V., & Whitaker, R. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.213 · Cited by 96 · see citing works
Self-citationOpening the Black Box - Data Driven Visualization of Neural Network
Tzeng, F.-Y., & Ma, K. (2006) · doi:10.1109/vis.2005.73 · Cited by 96 · see citing works
Multiscale visualization using data cubes
Stolte, C., Tang, D., & Hanrahan, P. (2003) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2003.1196005 · Cited by 95 · see citing works
The State of the Art in Topology‐Based Visualization of Unsteady Flow
Pobitzer, A., Peikert, R., Fuchs, R., Schindler, B., Kühn, A., Theisel, H., Matković, K., & Hauser, H. (2011) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2011.01901.x · Cited by 94 · see citing works
Piece wise Laplacian‐based Projection for Interactive Data Exploration and Organization
Paulovich, F. V., Eler, D. M., Poco, J., Botha, C. P., Minghim, R., & Nonato, L. G. (2011) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2011.01958.x · Cited by 92 · see citing works
Efficient Computation of Morse-Smale Complexes for Three-dimensional Scalar Functions
Gyulassy, A. G., Natarajan, V., Pascucci, V., & Bernd Hamann, A. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70552 · Cited by 92 · see citing works
Self-citationSubspace search and visualization to make sense of alternative clusterings in high-dimensional data
Tatu, A., Maas, F., Färber, I., Bertini, E., Schreck, T., Seidl, T., & Keim, D. A. (2012) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2012.6400488 · Cited by 91 · see citing works
Brushing Dimensions - A Dual Visual Analysis Model for High-Dimensional Data
Turkay, Ç., Filzmoser, P., & Hauser, H. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.178 · Cited by 89 · see citing works
HyperMoVal: Interactive Visual Validation of Regression Models for Real‐Time Simulation
Piringer, H., Berger, W., & Krasser, J. (2010) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2009.01684.x · Cited by 86 · see citing works
Topology for Computing (Cambridge Monographs on Applied and Computational Mathematics)
Zomorodian, A. J., Ablowitz, M. J., Davis, S. H., Hinch, E. J., Iserles, A., Ockendon, J. R., & Olver, P. J. (2005) · Cambridge University Press eBooks · Cited by 84 · see citing works
Sarikonda, G., Pettus, J., Phatak, S., Sachithanantham, S., Miller, J. F., Wesley, J. D., Cadag, E., Chae, J., Ganesan, L., Mallios, R., et al. (2014) · Journal of Autoimmunity · doi:10.1016/j.jaut.2013.12.003 · Cited by 84 · see citing works
Techniques for Precision-Based Visual Analysis of Projected Data
Schreck, T., von Landesberger, T., & Bremm, S. (2010) · Information Visualization · doi:10.1057/ivs.2010.2 · Cited by 84 · see citing works
Opening the Black Box - Data Driven Visualization of Neural Networks
Tzeng, F.-Y., & Ma, K. (2006) · doi:10.1109/visual.2005.1532820 · Cited by 84 · see citing works
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Kreuseler, M., & Schumann, H. (2002) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/2945.981850 · Cited by 83 · see citing works
Persistent Cohomology and Circular CoordinatesPreprint
de Silva, V., Morozov, D., & Vejdemo‐Johansson, M. (2009) · Cited by 83 · see citing works
Simple and optimal output-sensitive construction of contour trees using monotone paths
Chiang, Y., Lenz, T., Lu, X., & Rote, G. (2004) · Computational Geometry · doi:10.1016/j.comgeo.2004.05.002 · Cited by 82 · see citing works
Mapping Nominal Values to Numbers for Effective Visualization
Rosario, G. E., Rundensteiner, E. A., Brown, D. C., Ward, M. O., & Huang, S. (2004) · Information Visualization · doi:10.1057/palgrave.ivs.9500072 · Cited by 82 · see citing works
Visual Correlation Analysis of Numerical and Categorical Data on the Correlation Map
Zhang, Z., McDonnell, K. T., Zadok, E., & Mueller, K. D. (2014) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2014.2350494 · Cited by 81 · see citing works
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Loorak, M. H., Périn, C., Kamal, N. R., Hill, M. D., & Carpendale, S. (2015) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467325 · Cited by 80 · see citing works
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Rubio-Sánchez, M., Raya, L., Diaz, F., & Sánchez, A. (2015) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467324 · Cited by 80 · see citing works
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Gleicher, M. L. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.157 · Cited by 80 · see citing works
Procedural annotation of uncertain information
Cedilnik, A., & Rheingans, P. L. (2000) · IEEE Visualization · doi:10.5555/375213.375221 · Cited by 78 · see citing works
DataMeadow: A Visual Canvas for Analysis of Large-Scale Multivariate Data
Elmqvist, N., Stasko, J., & Tsigas, P. (2007) · IEEE Symposium on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2007.4389013 · Cited by 78 · see citing works
Fua, Y.-H., Ward, M. O., & Rundensteiner, E. A. (2000) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/2945.856996 · Cited by 77 · see citing works
Measuring the Distance Between Merge Trees
Beketayev, K., Yeliussizov, D., Morozov, D., Weber, G. H., & Bernd Hamann, A. (2014) · Mathematics and visualization · doi:10.1007/978-3-319-04099-8_10 · Cited by 76 · see citing works
Query, analysis, and visualization of hierarchically structured data using Polaris
Stolte, C., Tang, D., & Hanrahan, P. (2002) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/775047.775064 · Cited by 76 · see citing works
Visualizing the quality of dimensionality reduction
Mokbel, B., Lueks, W., Gisbrecht, A., & Hammer, B. (2013) · Neurocomputing · doi:10.1016/j.neucom.2012.11.046 · Cited by 75 · see citing works
Revealing structure within clustered parallel coordinates displays
Johansson, J., Ljung, P., Jern, M., & Cooper, M. D. (2005) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2005.1532138 · Cited by 75 · see citing works
MoleView: An Attribute and Structure-Based Semantic Lens for Large Element-Based Plots
Hurter, C., Ersoy, O., & Telea, A. C. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.223 · Cited by 74 · see citing works
Evaluation of Cluster Identification Performance for Different PCP Variants
Holten, D., & van Wijk, J. J. (2010) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2009.01666.x · Cited by 73 · see citing works
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Ziegler, H., Jenny, M., Gruse, T., & Keim, D. A. (2010) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2010.5652530 · Cited by 72 · see citing works
Improving the visual analysis of high-dimensional datasets using quality measures
Albuquerque, G., Eisemann, M., Lehmann, D. J., Theisel, H., & Magnor, M. A. (2010) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2010.5652433 · Cited by 72 · see citing works
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Dang, T. N., Wilkinson, L., & Anand, A. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.197 · Cited by 72 · see citing works
Steerable, Progressive Multidimensional Scaling
Williams, M., & Munzner, T. (2005) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2004.60 · Cited by 72 · see citing works
Domino: Extracting, Comparing, and Manipulating Subsets Across Multiple Tabular Datasets
Gratzl, S., Gehlenborg, N., Lex, A., Pfister, H., & Streit, M. (2014) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2014.2346260 · Cited by 71 · see citing works
Hagh-Shenas, H., Kim, S.-H., Interrante, V. L., & Healey, C. G. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70623 · Cited by 71 · see citing works
Visualization of labeled data using linear transformations
Koren, Y., & Carmel, L. (2003) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2003.1249017 · Cited by 70 · see citing works
Perception-Based Evaluation of Projection Methods for Multidimensional Data Visualization
Etemadpour, R., da Motta, R. C., Paiva, J. G. D. S., Minghim, R., de Oliveira, M. C. F., & Linsen, L. (2014) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2014.2330617 · Cited by 69 · see citing works
Carr, H. A., & Duke, D. J. (2014) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.269 · Cited by 69 · see citing works
Hlawatsch, M., Sadlo, F., & Weiskopf, D. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.227 · Cited by 69 · see citing works
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WATTENBERG, M. P. (2006) · IEEE Symposium on Information Visualization · doi:10.1109/infovis.2005.1 · Cited by 69 · see citing works
Uncertainty-Aware Multidimensional Ensemble Data Visualization and Exploration
Chen, H., Zhang, S., Chen, W., Mei, H., Zhang, J., Mercer, A. E., Liang, R., & Qu, H. (2015) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2410278 · Cited by 69 · see citing works
A hybrid layout algorithm for sub-quadratic multidimensional scaling
Morrison, A., Ross, G., & Chalmers, M. (2003) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2002.1173161 · Cited by 68 · see citing works
Matching Visual Saliency to Confidence in Plots of Uncertain Data
Feng, D. H., Kwock, L., Lee, Y. Z., & Taylor, R. M. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.176 · Cited by 67 · see citing works
An Information-Aware Framework for Exploring Multivariate Data Sets
Biswas, A., Dutta, S., Shen, H., & Woodring, J. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.133 · Cited by 67 · see citing works
Inselberg, A., & Dimsdale, B. (1991) · Springer eBooks · doi:10.1007/978-1-4684-5883-1_9 · Cited by 65 · see citing works
Teoh, S. T., & Ma, K. (2003) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/956750.956837 · Cited by 64 · see citing works
iLAMP: Exploring high-dimensional spacing through backward multidimensional projection
Amorim, E. P. D. S., Brazil, E. V., Daniels, J., Joia, P., Nonato, L. G., & Sousa, M. C. (2012) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2012.6400489 · Cited by 63 · see citing works
Off the Radar: Comparative Evaluation of Radial Visualization Solutions for Composite Indicators
Albo, Y., Lanir, J., Bak, P. M., & Rafaeli, S. (2015) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467322 · Cited by 62 · see citing works
Representative Factor Generation for the Interactive Visual Analysis of High-Dimensional Data
Turkay, Ç., Lundervold, A., Lundervold, A. J., & Hauser, H. (2012) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.256 · Cited by 61 · see citing works
Subspace Selection for Clustering High-Dimensional Data
Baumgärtner, C., Plant, C., Kailing, K., Kriegel, H.-P., & Kröger, P. (2005) · Proceedings · doi:10.1109/icdm.2004.10112 · Cited by 61 · see citing works
The Data Context Map: Fusing Data and Attributes into a Unified Display
Cheng, S., & Mueller, K. D. (2015) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467552 · Cited by 60 · see citing works
An Interactive 3D Integration of Parallel Coordinates and Star Glyphs
Fanea, E., Carpendale, S., & Isenberg, T. (2006) · IEEE Symposium on Information Visualization · doi:10.1109/infovis.2005.5 · Cited by 60 · see citing works
Fiber Surfaces: Generalizing Isosurfaces to Bivariate Data
Carr, H. A., Geng, Z., Tierny, J., Chattopadhyay, A., & Knoll, A. M. (2015) · Computer Graphics Forum · doi:10.1111/cgf.12636 · Cited by 59 · see citing works
Visualization of High-Dimensional Point Clouds Using Their Density Distribution's Topology
Oesterling, P., Heine, C., Jänicke, H., Scheuermann, G., & Heyer, G. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.27 · Cited by 57 · see citing works
A Survey on Multivariate Data Visualization
Chan, W. W.-Y. (2006) · Cited by 57 · see citing works
Procedural annotation of uncertain information
Cedilnik, A., & Rheingans, P. L. (2002) · IEEE Visualization Conference (VIS) · doi:10.1109/visual.2000.885679 · Cited by 57 · see citing works
Flow-based scatterplots for sensitivity analysis
Chan, Y., Correa, C. D., & Ma, K. (2010) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2010.5652460 · Cited by 56 · see citing works
TimeSeer: Scagnostics for High-Dimensional Time Series
Dang, T. N., Anand, A., & Wilkinson, L. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.128 · Cited by 56 · see citing works
Persistent Homology for the Evaluation of Dimensionality Reduction Schemes
Rieck, B., & Leitte, H. (2015) · Computer Graphics Forum · doi:10.1111/cgf.12655 · Cited by 55 · see citing works
Turkay, Ç., Jeanquartier, F., Holzinger, A., & Hauser, H. (2014) · Lecture notes in computer science · doi:10.1007/978-3-662-43968-5_7 · Cited by 54 · see citing works
Yang, J., Hubball, D., Ward, M. O., Rundensteiner, E. A., & Ribarsky, W. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.1010 · Cited by 54 · see citing works
GPLOM: The Generalized Plot Matrix for Visualizing Multidimensional Multivariate Data
Im, J.-F., McGuffin, M. J., & Leung, R. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.160 · Cited by 53 · see citing works
Angular Histograms: Frequency-Based Visualizations for Large, High Dimensional Data
Zhao, G., Peng, Z., Laramee, R. S., Walker, R., & Roberts, J. C. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.166 · Cited by 52 · see citing works
Nam, J. E., & Mueller, K. D. (2012) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.65 · Cited by 52 · see citing works
Lehmann, D. J., & Theisel, H. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.182 · Cited by 51 · see citing works
Guo, H., Xiao, H., & Yuan, X. (2012) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.80 · Cited by 51 · see citing works
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Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
Hohman, F., Kahng, M., Pienta, R., & Chau, D. H. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2843369 · Cited by 582 · see citing works
Zio, E. (2018) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2018.04.020 · Cited by 403 · see citing works
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Wang, Z. J., Turko, R., Shaikh, O., Park, H., Das, N., Hohman, F., Kahng, M., & Chau, D. H. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030418 · Cited by 328 · see citing works
Generative Adversarial Networks for face generation: A survey
Kammoun, A., Slama, R., Tabia, H., Ouni, T., & Abid, M. (2022) · ACM Computing Surveys · doi:10.1145/1122445.1122456 · Cited by 326 · see citing works
Toward a Quantitative Survey of Dimension Reduction Techniques
Espadoto, M., Martins, R. M., Kerren, A., Hirata, N. S. T., & Telea, A. C. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2944182 · Cited by 310 · see citing works
Visualizing the Hidden Activity of Artificial Neural Networks
Rauber, P. E., Fadel, S. G., Falcao, A. X., & Telea, A. C. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2598838 · Cited by 280 · see citing works
Making data visualization more efficient and effective: a survey
Qin, X., Luo, Y., Tang, N., & Li, G. (2019) · The VLDB Journal · doi:10.1007/s00778-019-00588-3 · Cited by 243 · see citing works
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis
Sacha, D., Zhang, L., Sedlmair, M., Lee, J. A., Peltonen, J., Weiskopf, D., North, S. C., & Keim, D. A. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2598495 · Cited by 232 · see citing works
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
Kahng, M., Thorat, N., Chau, D. H., Viégas, F. B., & WATTENBERG, M. P. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2864500 · Cited by 206 · see citing works
A Survey of Topology‐based Methods in Visualization
Heine, C., Leitte, H., Hlawitschka, M. W., Iuricich, F., Floriani, L. D., Scheuermann, G., Hagen, H., & Garth, C. (2016) · Computer Graphics Forum · doi:10.1111/cgf.12933 · Cited by 165 · see citing works
A survey of surveys on the use of visualization for interpreting machine learning models
Chatzimparmpas, A., Martins, R. M., Jusufi, I., & Kerren, A. (2020) · Information Visualization · doi:10.1177/1473871620904671 · Cited by 150 · see citing works
Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization
Tang, C., Liu, X., Zhu, X., Xiong, J., Li, M., Xia, J., Wang, X., & Wang, L. (2019) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2019.2911946 · Cited by 143 · see citing works
Visual analytics in urban computing: An overview
Zheng, Y., Wu, W., Chen, Y., Qu, H., & Ni, L. M. (2016) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2016.2586447 · Cited by 141 · see citing works
Personal Augmented Reality for Information Visualization on Large Interactive Displays
Reipschläger, P., Flemisch, T., & Dachselt, R. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030460 · Cited by 140 · see citing works
Visualizing Time-Dependent Data Using Dynamic t-SNE
Rauber, P., Falcão, A. X., & Telea, A. C. (2016) · Queen Mary Research Online (Queen Mary University of London) · doi:10.2312/eurovisshort.20161164 · Cited by 137 · see citing works
Visual Analytics: A Comprehensive Overview
Cui, W. (2019) · IEEE Access · doi:10.1109/access.2019.2923736 · Cited by 133 · see citing works
Visual Analysis and Dissemination of Scientific Literature Collections with SurVis
Beck, F., Koch, S., & Weiskopf, D. (2015) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467757 · Cited by 110 · see citing works
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Rhee, S. Y., Birnbaum, K. D., & Ehrhardt, D. W. (2019) · Trends in Plant Science · doi:10.1016/j.tplants.2019.01.006 · Cited by 110 · see citing works
Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics
Wenskovitch, J. E., Crandell, I., Ramakrishnan, N., House, L., Leman, S. C., & North, C. L. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2017.2745258 · Cited by 101 · see citing works
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Fujiwara, T., Kwon, O.-H., & Ma, K. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2934251 · Cited by 90 · see citing works
Survey of Surveys (SoS) ‐ Mapping The Landscape of Survey Papers in Information Visualization
McNabb, L., & Laramee, R. S. (2017) · Computer Graphics Forum · doi:10.1111/cgf.13212 · Cited by 82 · see citing works
Software engineering challenges for machine learning applications: A literature review
Kumeno, F. (2020) · Intelligent Decision Technologies · doi:10.3233/idt-190160 · Cited by 81 · see citing works
McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data
Mongia, A., Sengupta, D., & Majumdar, A. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00009 · Cited by 76 · see citing works
Towards Better Bus Networks: A Visual Analytics Approach
Weng, D., Zheng, C., Deng, Z., Ma, M., Bao, J., Zheng, Y., Xu, M., & Wu, Y. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030458 · Cited by 75 · see citing works
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data
Fujiwara, T., Chou, J., Shilpika, Xu, P., Ren, L., & Ma, K. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2934433 · Cited by 69 · see citing works
LDSScanner: Exploratory Analysis of Low-Dimensional Structures in High-Dimensional Datasets
Xia, J., Ye, F., Chen, W., Wang, Y., Chen, W., Ma, Y., & Tung, A. K. H. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2017.2744098 · Cited by 68 · see citing works
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Talagala, P. D., Hyndman, R. J., & Smith‐Miles, K. (2020) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2020.1807997 · Cited by 69 · see citing works
Immersive Insights: A Hybrid Analytics System forCollaborative Exploratory Data Analysis
Cavallo, M., Dolakia, M., Havlena, M., Ocheltree, K., & Podlaseck, M. (2019) · ACM Symposium on Virtual Reality Software and Technology (VRST) · doi:10.1145/3359996.3364242 · Cited by 64 · see citing works
Dimensionality reduction for visualizing industrial chemical process data
Joswiak, M. N., Peng, Y., Castillo, I., & Chiang, L. H. (2019) · Control Engineering Practice · doi:10.1016/j.conengprac.2019.104189 · Cited by 63 · see citing works
Porter, M. M., & Niksiar, P. (2018) · PLoS ONE · doi:10.1371/journal.pone.0204309 · Cited by 63 · see citing works
Boggust, A., Carter, B., & Satyanarayan, A. (2022) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3490099.3511122 · Cited by 61 · see citing works
A survey of immersive visualization: Focus on perception and interaction
Zhang, Y., Wang, Z.-Y., Zhang, J., Shan, G., & Tian, D. (2023) · Visual Informatics · doi:10.1016/j.visinf.2023.10.003 · Cited by 58 · see citing works
Projections as visual aids for classification system design
Rauber, P., Falcão, A. X., & Telea, A. C. (2017) · Information Visualization · doi:10.1177/1473871617713337 · Cited by 58 · see citing works
A task-and-technique centered survey on visual analytics for deep learning model engineering
García, R., Telea, A. C., da Silva, B. C., Tørresen, J., & Comba, J. L. D. (2018) · Computers & Graphics · doi:10.1016/j.cag.2018.09.018 · Cited by 53 · see citing works
A comprehensive review of tools for exploratory analysis of tabular industrial datasets
Ghosh, A., Nashaat, M., Miller, J., Quader, S., & Marston, C. (2018) · Visual Informatics · doi:10.1016/j.visinf.2018.12.004 · Cited by 52 · see citing works
Evaluating the Impact of Binning 2D Scalar Fields
Padilla, L., Quinan, P. S., Meyer, M., & Creem-Regehr, S. H. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2599106 · Cited by 50 · see citing works
Fujiwara, T., Shilpika, Sakamoto, N., Nonaka, J., Yamamoto, K., & Ma, K. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3028889 · Cited by 50 · see citing works
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Houben, S., Abrecht, S., Akila, M., Bär, A., Brockherde, F., Feifel, P., Fingscheidt, T., Gannamaneni, S. S., Ghobadi, S. E., Hammam, A., et al. (2022) · Springer eBooks · doi:10.1007/978-3-031-01233-4_1 · Cited by 52 · see citing works
Uncertainty-Aware Principal Component Analysis
Gortler, J., Spinner, T., Streeb, D., Weiskopf, D., & Deussen, O. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2934812 · Cited by 40 · see citing works
Interactive Dimensionality Reduction for Comparative Analysis
Fujiwara, T., Wei, X., Zhao, J., & Ma, K. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114807 · Cited by 48 · see citing works
Digital Twin for Aquaponics Factory: Analysis, Opportunities, and Research Challenges
Xu, L. P., Yu, H., Qin, H., Chai, Y., Yan, N., Li, D., & Chen, Y. (2023) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2023.3331135 · Cited by 46 · see citing works
Taggle: Combining overview and details in tabular data visualizations
Furmanová, K., Gratzl, S., Stitz, H., Zichner, T., Jarešová, M., Lex, A., & Streit, M. (2019) · Information Visualization · doi:10.1177/1473871619878085 · Cited by 44 · see citing works
Alsenan, S. A., Al-Turaiki, I. M., & Hafez, A. M. (2020) · IEEE Access · doi:10.1109/access.2020.2990375 · Cited by 44 · see citing works
Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots
Marai, G. E., Ma, C., Burks, A. T., Pellolio, F., Canahuate, G. M., Vock, D. M., Mohamed, A., & Fuller, C. D. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2817557 · Cited by 42 · see citing works
Diagnosing Concept Drift with Visual Analytics
Yang, W., Li, Z., Liu, M., Lu, Y., Cao, K., Maciejewski, R., & Liu, S. (2020) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast50239.2020.00007 · Cited by 40 · see citing works
Self-citationLinear discriminant analysis guided by unsupervised ensemble learning
Deng, P., Wang, H., Li, T., Horng, S., & Zhu, X. (2018) · Information Sciences · doi:10.1016/j.ins.2018.12.036 · Cited by 39 · see citing works
Visualizations for decision support in scenario-based multiobjective optimization
Shavazipour, B., López‐Ibáñez, M., & Miettinen, K. (2021) · Information Sciences · doi:10.1016/j.ins.2021.07.025 · Cited by 39 · see citing works
Visualizing probabilistic models and data with Intensive Principal Component Analysis
Quinn, K. N., Clement, C. B., Bernardis, F. D., Niemack, M. D., & Sethna, J. P. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1817218116 · Cited by 37 · see citing works
Kammer, D., Keck, M., Gründer, T., Maasch, A., Thom, T., Kleinsteuber, M., & Groh, R. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.2969060 · Cited by 38 · see citing works
ARGUS: Visualization of AI-Assisted Task Guidance in AR
Castelo, S., Rulff, J., McGowan, E., Steers, B., Wu, G., Chen, S., Roman, I. R., López, R., Brewer, E., Zhao, C., et al. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3327396 · Cited by 41 · see citing works
Constructing and Visualizing High-Quality Classifier Decision Boundary Maps
Rodrigues, F., Espadoto, M., Hirata, R., & Telea, A. C. (2019) · Information · doi:10.3390/info10090280 · Cited by 37 · see citing works
Differentially Private High-Dimensional Data Publication in Internet of Things
Zheng, Z., Wang, T., Wen, J., Mumtaz, S., Bashir, A. K., & Chauhdary, S. H. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2955503 · Cited by 37 · see citing works
Perkhofer, L., Walchshofer, C., & Hofer, P. (2020) · Journal of Management Control · doi:10.1007/s00187-020-00294-0 · Cited by 37 · see citing works
Castro, S. C., Quinan, P. S., Hosseinpour, H., & Padilla, L. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114803 · Cited by 37 · see citing works
Simulation-based exploration of high-dimensional system models for identifying unexpected events
Turati, P., Pedroni, N., & Zio, E. (2017) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2017.04.004 · Cited by 34 · see citing works
embComp : Visual Interactive Comparison of Vector Embeddings
Heimerl, F., Kralj, C., Möller, T. B., & Gleicher, M. L. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3045918 · Cited by 34 · see citing works
Considerations when processing and interpreting genomics data of the placenta
Konwar, C., Gobbo, G. F. D., Yuan, V., & Robinson, W. P. (2019) · Placenta · doi:10.1016/j.placenta.2019.01.006 · Cited by 33 · see citing works
VisAdapt: A Visualization Tool to Support Climate Change Adaptation
Johansson, J., Opach, T., Glaas, E., Neset, T., Navarra, C., Linnér, B., & Rød, J. K. (2016) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2016.49 · Cited by 32 · see citing works
Quantitative Evaluation of Time‐Dependent Multidimensional Projection Techniques
Vernier, E. F., García, R., da Silva, I. P., Comba, J. L. D., & Telea, A. C. (2020) · Computer Graphics Forum · doi:10.1111/cgf.13977 · Cited by 32 · see citing works
Self-organizing subspace clustering for high-dimensional and multi-view data
Araujo, A. F. R., Antonino, V. O., & Ponce-Guevara, K. L. (2020) · Neural Networks · doi:10.1016/j.neunet.2020.06.022 · Cited by 31 · see citing works
Diagnosing Ensemble Few-Shot Classifiers
Yang, W., Ye, X., Zhang, X., Xiao, L., Xia, J., Wang, Z., Zhu, J. J., Pfister, H., & Liu, S. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3182488 · Cited by 31 · see citing works
Self-citationUnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data
Espadoto, M., Appleby, G., Suh, A., Cashman, D., Li, M., Scheidegger, C., Anderson, E. W., Chang, R., & Telea, A. C. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3125576 · Cited by 29 · see citing works
Cluster-Based Visual Abstraction for Multivariate Scatterplots
Liao, H., Wu, Y., Chen, L., & Chen, W. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2017.2754480 · Cited by 29 · see citing works
Data Abstraction for Visualizing Large Time Series
Shurkhovetskyy, G., Andrienko, N. V., Andrienko, G., & Fuchs, G. (2017) · Computer Graphics Forum · doi:10.1111/cgf.13237 · Cited by 29 · see citing works
Dual graph regularized compact feature representation for unsupervised feature selection
Li, S., Tang, C., Liu, X., Liu, Y., & Chen, J. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.11.060 · Cited by 29 · see citing works
Orban, D., Keefe, D. F., Biswas, A., Ahrens, J. P., & Rogers, D. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2865051 · Cited by 28 · see citing works
The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets
Afzal, S., Hittawe, M. M., Ghani, S., Jamil, T., Knio, O., Hadwiger, M., & Hoteit, I. (2019) · Computer Graphics Forum · doi:10.1111/cgf.13731 · Cited by 28 · see citing works
Kelleher, C., & Braswell, A. (2021) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2021.105113 · Cited by 12 · see citing works
VA + Embeddings STAR: A State‐of‐the‐Art Report on the Use of Embeddings in Visual Analytics
Huang, Z., Witschard, D., Kucher, K., & Kerren, A. (2023) · Computer Graphics Forum · doi:10.1111/cgf.14859 · Cited by 28 · see citing works
Structuring Visual Exploratory Analysis of Skill Demand
Dadzie, A., Sibarani, E. M., Novalija, I., & Scerri, S. (2017) · Journal of Web Semantics · doi:10.1016/j.websem.2017.12.004 · Cited by 28 · see citing works
TopoAct: Visually Exploring the Shape of Activations in Deep Learning
Rathore, A., Chalapathi, N., Palande, S., & Wang, B. (2021) · Computer Graphics Forum · doi:10.1111/cgf.14195 · Cited by 27 · see citing works
Self-citationAttribute-based Explanation of Non-Linear Embeddings of High-Dimensional Data
Sohns, J., Schmitt, M., Jirasek, F., Hasse, H., & Leitte, H. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114870 · Cited by 27 · see citing works
Visualizing High Dimensional and Big Data
Genender-Feltheimer, A. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.10.308 · Cited by 27 · see citing works
Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data
Borland, D., Wang, W., Zhang, J., Shrestha, J., & Gotz, D. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2934209 · Cited by 26 · see citing works
PolarViz: a discriminating visualization and visual analytics tool for high-dimensional data
Wang, Y. C., Zhang, Q., Lin, F., Goh, C.-K., & Seah, H. S. (2018) · The Visual Computer · doi:10.1007/s00371-018-1558-y · Cited by 25 · see citing works
Suh, J., Ghorashi, S., Ramos, G., Chen, N.-C., Drucker, S. M., Verwey, J., & Simard, P. (2019) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3241379 · Cited by 25 · see citing works
Generalized persistence algorithm for decomposing multiparameter persistence modules
Dey, T. K., & Xin, C. (2022) · Journal of Applied and Computational Topology · doi:10.1007/s41468-022-00087-5 · Cited by 24 · see citing works
Cutura, R., Aupetit, M. J. M., Fekete, J., & Sedlmair, M. (2020) · International Conference on Advanced Visual Interfaces (AVI) · doi:10.1145/3399715.3399875 · Cited by 23 · see citing works
Indexed-Points Parallel Coordinates Visualization of Multivariate Correlations
Zhou, L., & Weiskopf, D. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2017.2698041 · Cited by 22 · see citing works
ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants
Liu, S., Weng, D., Tian, Y., Deng, Z., Xu, H., Zhu, X., Yin, H., Zhan, X., & Wu, Y. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209430 · Cited by 21 · see citing works
Self-citationDMT-EV: An Explainable Deep Network for Dimension Reduction
Zang, Z., Cheng, S., Xia, H., Li, L., Sun, Y., Xu, Y., Shang, L., Sun, B., & Li, S. Z. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3223399 · Cited by 23 · see citing works
Uniform Manifold Approximation with Two-phase Optimization
Jeon, H., Ko, H.-K., Lee, S., Jo, J., & Seo, J. (2022) · Visualization · doi:10.1109/vis54862.2022.00025 · Cited by 21 · see citing works
Testing the potential of Multiobjective Evolutionary Algorithms (MOEAs) with Colorado water managers
Smith, R. M., Kasprzyk, J. R., & Dilling, L. (2019) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2019.03.011 · Cited by 21 · see citing works
Blumenschein, M., Behrisch, M., Schmid, S., Butscher, S., Wahl, D. R., Villinger, K., Renner, B., Reiterer, H., & Keim, D. A. (2018) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2018.8802486 · Cited by 20 · see citing works
Visual Analysis of Class Separations With Locally Linear Segments
Ma, Y., & Maciejewski, R. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3011155 · Cited by 20 · see citing works
Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling
Espadoto, M., Hirata, N. S. T., & Telea, A. C. (2021) · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) · doi:10.5220/0010184800270037 · Cited by 20 · see citing works
Ränger, L., von Kurnatowski, M., Bortz, M., & Grützner, T. (2020) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2020.107059 · Cited by 19 · see citing works
Xie, C., Zhong, W., & Mueller, K. D. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2598479 · Cited by 18 · see citing works
Dimensionality reduction techniques in structural and earthquake engineering
Hajibabaee, P., Pourkamali‐Anaraki, F., & Hariri‐Ardebili, M. A. (2023) · Engineering Structures · doi:10.1016/j.engstruct.2022.115485 · Cited by 18 · see citing works
Interactive Visualization on Large High‐Resolution Displays: A Survey
Belkacem, I., Tominski, C., Médoc, N., Knudsen, S., Dachselt, R., & Ghoniem, M. (2024) · Computer Graphics Forum · doi:10.1111/cgf.15001 · Cited by 18 · see citing works
ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening
Sabando, M. V., Ulbrich, P., Selzer, M. N., Byška, J., Mičan, J., Ponzoni, I., Soto, A. J., Ganuza, M. L., & Kozlíková, B. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030438 · Cited by 18 · see citing works
Parallel t-SNE Applied to Data Visualization in Smart Cities
Lopes, M. A. D. S., Neto, A. D. D., & Martins, A. D. M. (2020) · IEEE Access · doi:10.1109/access.2020.2964413 · Cited by 17 · see citing works
TopoBERT: Exploring the topology of fine-tuned word representations
Rathore, A., Zhou, Y., Srikumar, V., & Wang, B. (2023) · Information Visualization · doi:10.1177/14738716231168671 · Cited by 18 · see citing works
Self-citationHuman-computer interaction for virtual-real fusion
Tao, J., Gong, J., Gao, N., Fu, S., Liang, S., & Yu, C. (2023) · Journal of Image and Graphics · doi:10.11834/jig.230020 · Cited by 17 · see citing works
The moving target of visualization software for an increasingly complex world
Reina, G., Childs, H., Matković, K., Bühler, K., Waldner, M., Pugmire, D., Kozlíková, B., Ropinski, T., Ljung, P., Itoh, T., et al. (2020) · Computers & Graphics · doi:10.1016/j.cag.2020.01.005 · Cited by 18 · see citing works
Strategies for evaluating visual analytics systems: A systematic review and new perspectives
Islam, M. R., Prome, S. A., Islam, L., Razzak, I., Wang, X., & Xu, G. (2023) · Information Visualization · doi:10.1177/14738716231212568 · Cited by 16 · see citing works
Comparative Analysis of Tools for Big Data Visualization and Challenges
Zion, G. D., & Tripathy, B. K. (2020) · Springer eBooks · doi:10.1007/978-981-15-2282-6_3 · Cited by 16 · see citing works
Salekin, S., Mostavi, M., Chiu, Y., Chen, Y., Zhang, J., & Huang, Y. (2020) · Frontiers in Physics · doi:10.3389/fphy.2020.00196 · Cited by 16 · see citing works
Humane Visual AI: Telling the Stories Behind a Medical Condition
So, W., Bogucka, E. P., Šćepanović, S., Joglekar, S. P., Zhou, K., & Quercia, D. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030391 · Cited by 16 · see citing works
Deep Fraud Detection on Non-attributed Graph
Wang, C., Dou, Y., Chen, M., Chen, J., Liu, Z., & Yu, P. S. (2021) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata52589.2021.9672028 · Cited by 18 · see citing works
- Authors
- Liu, S., Maljovec, D., Wang, B., Bremer, P.-T., & Pascucci, V.
- Affiliations
- University of Utah (US)
- Lawrence Livermore National Laboratory (US)
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2017-03-01
- Volume
- 23
- Issue
- 3
- Pages
- 1249-1268
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W2323909273
- Cited by
- 427
- References
- 306
- Citations by year
- 2026: 25 · 2025: 34 · 2024: 45 · 2023: 46 · 2022: 45 · 2021: 52 · 2020: 62 · 2019: 49 · 2018: 32 · 2017: 21 · 2016: 14 · 2015: 2
- FWCI
- 26.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Visualization and Computer Graphics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- US DOE
- LLNL (DE-AC52-07NA27344, LLNL-CONF-658933)
- US National Science Foundation (IIS-1513616, 0904631, DE-EE0004449, DE-NA0002375, DE-SC0007446, DE-SC0010498, NSG IIS-1045032, NSF EFT ACI-0906379, DOE/NEUP 120341, DOE/Codesign P01180734)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Topological and Geometric Data Analysis
- Keywords
- high-dimensional data visualization, dimensionality reduction, visualization pipeline, large-scale datasets
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