The following case studies were carried out in an either Retrospective (post-hoc, ex-post) or Prospective (ex-ante) manner. Each case study has an individual sub-page named based on its reference key that consists of the first author's surname, publication year, and publication. In the list, the case studies are ordered alphabetically according to their reference keys.
Bach:2023:TVCG --- B. Bach, E. Freeman, A. Abdul-Rahman, C. Turkay, S. Khan, Y. Fan, and M. Chen. Dashboard design patterns. IEEE Transactions on Visualization and Computer Graphics, 29(1):342-352, 2023. DOI. (Presented at IEEE VIS 2022, and IEEE VIS 2022 Honorable Mention.)
Chen:2010:TVCG (under construction) --- M. Chen and H. Jaenicke. An information-theoretic framework for visualization. IEEE Transactions on Visualization and Computer Graphics, 16(6):1206–1215, 2010. DOI. (Presented at IEEE VisWeek 2010.)
Chen:2022:E (under construction) --- M. Chen, A. Abdul-Rahman, D. Archambault, J. Dykes, A. Slingsby, P. D. Ritsos, T. Torsney-Weir, C. Turkay, B. Bach, A. Brett, H. Fang, R. Jianu, S. Khan, R. S. Laramee, L. Matthews, P. H. Nguyen, R. Reeve, J. C. Roberts, F. Vidal, Q. Wang, J. Wood, and K. Xu. RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses. Epidemics, 39:100569, 2022. DOI.
Jin:2024:TVCG --- Y. Jin, T. J. A. de Jong, M. Tennekes, and M. Chen. Radial Icicle Tree (RIT): Node separation and area constancy. To appear in IEEE Transactions on Visualization and Computer Graphics, 30(1), 2024. (To be presented at IEEE VIS 2023.) (Early version: arXiv: 2307.10481, 2023.)
Legg:2012:CGF (under construction) --- P. Legg, D. Chung, M. Parry, M. Jones, R. Long, I. Griffiths, and M. Chen. MatchPad: Interactive glyph-based visualization for real-time sports performance analysis. Computer Graphics Forum, 31(3):1255–1264, 2012. DOI. (Presented at EuroVis 2012.)
Oelke:2010:VAST (under construction) --- D. Oelke, D. Spretke, A. Stoffel, and D. A. Keim. Visual readability analysis: how to make your writings easier to read. In Proc. IEEE VAST, pages 123–130, 2010. DOI.
Rydow:2023:TVCG --- E. Rydow, R. Borgo, H. Fang, T. Torsney-Weir, B. Swallow, T. Porphyre, C. Turkay, and M. Chen. Development and evaluation of two approaches of visual sensitivity analysis to support epidemiological modelling. IEEE Transactions on Visualization and Computer Graphics, 29(1):1255-1265, 2023. DOI. (Presented at IEEE VIS 2022.)
Tam:2011:CGF (under construction) --- G. K. L. Tam, H. Fang, A. J. Aubrey, P. W. Grant, P. L. Rosin, D. Marshall, and M. Chen. Visualization of time-series data in parameter space for understanding facial dynamics. Computer Graphics Forum, 30(3):901–910, 2011. DOI. (Presented at EuroVis 2011.)
Ye:2023:TVCG --- Z. Ye and M. Chen. Visualizing ensemble predictions of music mood. IEEE Transactions on Visualization and Computer Graphics, 29(1):864-874, 2023. DOI. (Presented at IEEE VIS 2022.)
Zhang:2016:CGF --- J. Zhang, B. Ahlbrand, A. Malik, J. Chae, Z. Min, S. Ko, and D. S. Ebert. A visual analytics framework for microblog data analysis at multiple scales of aggregation. Computer Graphics Forum, 35(3):441-450, 2016. DOI.
Zhang:2018:CHI --- J. Zhang, C. Surakitbanharn, N. Elmqvist, R. Maciejewski, Z. Qian, and D. S. Ebert. TopoText: Context-preserving text data exploration across multiple spatial scales. In Proc. ACM CHI Conference on Human Factors in Computing Systems, Paper No. 37, Montreal QC, 2018. DOI.
Zhao:2017:THS --- J. Zhao, A. Malik, H, Xu, G. Wang, J. Zhang, C. Surakitbanharn, and D. S. Ebert. Metricsvis: A visual analytics framework for performance evaluation of law enforcement officers. In Proc. IEEE Symposium on Technologies for Homeland Security, Waltham, MA, 2017. DOI.