Sunghee Choi
Impact in
-
- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
- Geology top 2%
- 3D Surveying and Cultural Heritage
Papers in
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- Computer Graphics and Visualization Techniques 13
- Computational Geometry and Mesh Generation 12
-
- Advanced Vision and Imaging 9
- Advanced Steganography and Watermarking Techniques 5
- Digital Media Forensic Detection 5
- Co-authors
- Nina AmentaRavi Krishna KolluriTamal K. DeyHeung-Kyu LeeSang Won BaeSeung-Min MunDongkyu KimHaneol Jang
- Journals
- Computational Geometry (2 papers)IEEE Access (2 papers)ACM Transactions on Graphics (2 papers)Wireless Networks (2 papers)The Visual Computer (2 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Sunghee Choi
53 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Graphics and Computer-Aided Design 935
- Geology 236
- Computational Mechanics 876
- Computer Vision and Pattern Recognition 860
- Environmental Engineering 174
Countries citing papers authored by Sunghee Choi
This map shows the geographic impact of Sunghee Choi'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 Sunghee Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghee Choi more than expected).
Fields of papers citing papers by Sunghee Choi
This network shows the impact of papers produced by Sunghee Choi. 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 Sunghee Choi. The network helps show where Sunghee Choi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sunghee Choi, 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 | 2025 | 0 | |
| 2 | 2021 | 40 | |
| 3 | 2021 | 11 | |
| 4 | 2021 | 0 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 9 | |
| 7 | 2017 | 22 | |
| 8 | 2016 | 1 | |
| 9 | 2015 | 35 | |
| 10 | 2015 | 1 | |
| 11 | 2013 | 29 | |
| 12 | 2013 | 14 | |
| 13 | 2012 | 13 | |
| 14 | 2011 | 7 | |
| 15 | 2010 | 8 | |
| 16 | 2009 | 14 | |
| 17 | 2002 | 12 | |
| 18 | 2002 | 2 | |
| 19 | 2001 | 362 | |
| 20 | The power crust Hit paper breakdown → | 2001 | 504 |
About Sunghee Choi
Sunghee Choi is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics and Geology, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (13 papers), Computational Geometry and Mesh Generation (12 papers), 3D Shape Modeling and Analysis (11 papers), Advanced Vision and Imaging (9 papers), Advanced Steganography and Watermarking Techniques (5 papers), Mobile Ad Hoc Networks (5 papers), Robotics and Sensor-Based Localization (5 papers) and Digital Media Forensic Detection (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (935 citations), Geology (236 citations), Computational Mechanics (876 citations), Computer Vision and Pattern Recognition (860 citations) and Environmental Engineering (174 citations). Sunghee Choi has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Nina Amenta, Ravi Krishna Kolluri, Tamal K. Dey, Heung-Kyu Lee, Sang Won Bae, Seung-Min Mun, Dongkyu Kim, Haneol Jang, Günter Rote and Soohwan Song. Their work appears in journals such as Computational Geometry, IEEE Access, ACM Transactions on Graphics, Wireless Networks and The Visual Computer.
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.