Cha Lee
Impact in
- Human-Computer Interaction top 1%
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
- Gaze Tracking and Assistive Technology
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- Augmented Reality Applications
Papers in
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- Augmented Reality Applications 8
- Advanced Image and Video Retrieval Techniques 1
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- Virtual Reality Applications and Impacts 8
- Interactive and Immersive Displays 3
- Co-authors
- Tobias Höllerer (11 shared papers)Doug A. Bowman (7 shared papers)Matthew Turk (2 shared papers)Steffen Gauglitz (2 shared papers)Gustavo Rincón (1 shared paper)Stephen DiVerdi (2 shared papers)Ryan P. McMahan (1 shared paper)Eric D. Ragan (1 shared paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Cha Lee
11 papers receiving 405 citations
Peers
Comparison fields: 5 of 54
- Human-Computer Interaction 344
- Computer Vision and Pattern Recognition 302
- Computer Graphics and Computer-Aided Design 24
- Media Technology 44
- Automotive Engineering 50
Countries citing papers authored by Cha Lee
This map shows the geographic impact of Cha Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cha Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cha Lee more than expected).
Fields of papers citing papers by Cha Lee
This network shows the impact of papers produced by Cha Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cha Lee. The network helps show where Cha Lee may publish in the future.
Co-authors
The 9 scholars most cited alongside Cha Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 117 | |
| 2 | 2013 | 90 | |
| 3 | 2012 | 58 | |
| 4 | 2010 | 53 | |
| 5 | 2009 | 37 | |
| 6 | 2008 | 26 | |
| 7 | Evaluating effectiveness in virtual environments with MR simulation | 2012 | 20 |
| 8 | 2007 | 16 | |
| 9 | 2012 | 11 | |
| 10 | 2011 | 3 | |
| 11 | Mixed reality simulation | 2013 | 1 |
About Cha Lee
Cha Lee is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Media Technology, Surgery and Automotive Engineering, having authored 11 papers that have together received 432 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (8 papers), Augmented Reality Applications (8 papers), Interactive and Immersive Displays (3 papers), Advanced Optical Imaging Technologies (3 papers), Surgical Simulation and Training (2 papers), Stochastic Gradient Optimization Techniques (1 paper), Robotics and Sensor-Based Localization (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Human-Computer Interaction (344 citations), Computer Vision and Pattern Recognition (302 citations), Computer Graphics and Computer-Aided Design (24 citations), Media Technology (44 citations) and Automotive Engineering (50 citations). Cha Lee has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Tobias Höllerer, Doug A. Bowman, Matthew Turk, Steffen Gauglitz, Gustavo Rincón, Stephen DiVerdi, Ryan P. McMahan, Eric D. Ragan and Régis Kopper. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.