Sing Chun Lee
Impact in
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- Augmented Reality Applications
Papers in
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- Advanced Vision and Imaging 4
- Augmented Reality Applications 3
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- Anatomy and Medical Technology 2
- Advanced X-ray and CT Imaging 2
- Co-authors
- Nassir Navab (13 shared papers)Javad Fotouhi (12 shared papers)Bernhard Fuerst (10 shared papers)Greg Osgood (10 shared papers)Russell H. Taylor (4 shared papers)Alex Johnson (6 shared papers)Mathias Unberath (6 shared papers)Gregory D. Hager (1 shared paper)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (7 papers)Computer Graphics Forum (2 papers)Chemistry - A European Journal (1 paper)IEEE Robotics and Automation Letters (1 paper)Der Unfallchirurg (1 paper)
- Partner nations
- United StatesGermanyHong Kong
In The Last Decade
Sing Chun Lee
19 papers receiving 461 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 157
- Health Informatics 8
- Biomedical Engineering 177
- Surgery 149
- Computer Graphics and Computer-Aided Design 12
Countries citing papers authored by Sing Chun Lee
This map shows the geographic impact of Sing Chun 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 Sing Chun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sing Chun Lee more than expected).
Fields of papers citing papers by Sing Chun Lee
This network shows the impact of papers produced by Sing Chun 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 Sing Chun Lee. The network helps show where Sing Chun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sing Chun 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 | 2016 | 80 | |
| 2 | 2016 | 52 | |
| 3 | 2016 | 48 | |
| 4 | 2019 | 48 | |
| 5 | 2017 | 47 | |
| 6 | 2003 | 35 | |
| 7 | 2016 | 30 | |
| 8 | 2019 | 28 | |
| 9 | 2017 | 19 | |
| 10 | 2018 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2019 | 11 | |
| 13 | 2020 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2018 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2017 | 1 | |
| 19 | 2018 | 1 |
About Sing Chun Lee
Sing Chun Lee is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery, Computational Mechanics and Aerospace Engineering, having authored 19 papers that have together received 467 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Augmented Reality Applications (3 papers), Robotics and Sensor-Based Localization (3 papers), Surgical Simulation and Training (2 papers), Anatomy and Medical Technology (2 papers), Advanced X-ray and CT Imaging (2 papers), 3D Shape Modeling and Analysis (2 papers) and Organic Electronics and Photovoltaics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Health Informatics (8 citations), Biomedical Engineering (177 citations), Surgery (149 citations) and Computer Graphics and Computer-Aided Design (12 citations). Sing Chun Lee has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Nassir Navab, Javad Fotouhi, Bernhard Fuerst, Greg Osgood, Russell H. Taylor, Alex Johnson, Mathias Unberath, Gregory D. Hager, Mehran Armand and Marius Fischer. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Computer Graphics Forum, Chemistry - A European Journal, IEEE Robotics and Automation Letters and Der Unfallchirurg.
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.