| Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition J Chae, D Thom, H Bosch, Y Jang, R Maciejewski, DS Ebert, T Ertl 2012 IEEE conference on visual analytics science and technology (VAST), 143-152, 2012 | 398 | 2012 |
| Public behavior response analysis in disaster events utilizing visual analytics of microblog data J Chae, D Thom, Y Jang, SY Kim, T Ertl, DS Ebert Computers & Graphics 38, 51-60, 2014 | 236 | 2014 |
| A survey on visual analysis approaches for financial data S Ko, I Cho, S Afzal, C Yau, J Chae, A Malik, K Beck, Y Jang, W Ribarsky, ... Computer Graphics Forum 35 (3), 599-617, 2016 | 104 | 2016 |
| Cybersickness analysis with eeg using deep learning algorithms D Jeong, S Yoo, J Yun 2019 IEEE conference on virtual reality and 3D user interfaces (VR), 827-835, 2019 | 103 | 2019 |
| Visual cause analytics for traffic congestion M Pi, H Yeon, H Son, Y Jang IEEE transactions on visualization and computer graphics 27 (3), 2186-2201, 2019 | 102 | 2019 |
| Spatial text visualization using automatic typographic maps S Afzal, R Maciejewski, Y Jang, N Elmqvist, DS Ebert IEEE Transactions on Visualization & Computer Graphics 18 (12), 2556-2564, 2012 | 81 | 2012 |
| Data flow analysis and visualization for spatiotemporal statistical data without trajectory information S Kim, S Jeong, I Woo, Y Jang, R Maciejewski, DS Ebert IEEE transactions on visualization and computer graphics 24 (3), 1287-1300, 2017 | 79 | 2017 |
| Illustration and photography inspired visualization of flows and volumes NA Svakhine, Y Jang, D Ebert, K Gaither VIS 05. IEEE Visualization, 2005., 687-694, 2005 | 77 | 2005 |
| A correlative analysis process in a visual analytics environment A Malik, R Maciejewski, N Elmqvist, Y Jang, DS Ebert, W Huang 2012 IEEE Conference on Visual Analytics Science and Technology (VAST), 33-42, 2012 | 68 | 2012 |
| Visual analytics on mobile devices for emergency response SY Kim, Y Jang, A Mellema, DS Ebert, T Collinss 2007 IEEE Symposium on Visual Analytics Science and Technology, 35-42, 2007 | 67 | 2007 |
| Interactively visualizing procedurally encoded scalar fields. Y Jang, M Weiler, M Hopf, J Huang, DS Ebert, KP Gaither, T Ertl VisSym, 35-44,339, 2004 | 55 | 2004 |
| Bristle maps: A multivariate abstraction technique for geovisualization SY Kim, R Maciejewski, A Malik, Y Jang, DS Ebert, T Isenberg IEEE Transactions on Visualization and Computer Graphics 19 (9), 1438-1454, 2013 | 54 | 2013 |
| Analyzing high-dimensional multivariate network links with integrated anomaly detection, highlighting and exploration S Ko, S Afzal, S Walton, Y Yang, J Chae, A Malik, Y Jang, M Chen, ... 2014 IEEE conference on visual analytics science and technology (VAST), 83-92, 2014 | 50 | 2014 |
| Marketanalyzer: An interactive visual analytics system for analyzing competitive advantage using point of sale data S Ko, R Maciejewski, Y Jang, DS Ebert Computer Graphics Forum 31 (3pt3), 1245-1254, 2012 | 49 | 2012 |
| A mobile visual analytics approach for law enforcement situation awareness AMM Razip, A Malik, S Afzal, M Potrawski, R Maciejewski, Y Jang, ... 2014 IEEE Pacific Visualization Symposium, 169-176, 2014 | 48 | 2014 |
| Smart transparency for illustrative visualization of complex flow surfaces R Carnecky, R Fuchs, S Mehl, Y Jang, R Peikert IEEE transactions on visualization and computer graphics 19 (5), 838-851, 2012 | 48 | 2012 |
| Abstracting attribute space for transfer function exploration and design R Maciejewski, Y Jang, I Woo, H Jänicke, KP Gaither, DS Ebert IEEE Transactions on visualization and Computer Graphics 19 (1), 94-107, 2012 | 47 | 2012 |
| Time-varying data visualization using functional representations Y Jang, DS Ebert, K Gaither IEEE Transactions on Visualization and Computer Graphics 18 (3), 421-433, 2011 | 47 | 2011 |
| Enhancing the interactive visualization of procedurally encoded multifield data with ellipsoidal basis functions Y Jang, RP Botchen, A Lauser, DS Ebert, KP Gaither, T Ertl Computer Graphics Forum 25 (3), 587-596, 2006 | 47 | 2006 |
| Deep learning-based anomaly detection to classify inaccurate data and damaged condition of a cable-stayed bridge H Son, Y Jang, SE Kim, D Kim, JW Park IEEE Access 9, 124549-124559, 2021 | 41 | 2021 |
