Jinhee Chun
Impact in
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- Computational Geometry and Mesh Generation
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- Human Pose and Action Recognition
- Face and Expression Recognition
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
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- Digital Image Processing Techniques 9
- Image Retrieval and Classification Techniques 3
- Medical Image Segmentation Techniques 3
- Image Processing and 3D Reconstruction 2
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- Computational Geometry and Mesh Generation 9
- Co-authors
- Takeshi Tokuyama (13 shared papers)Matias Korman (6 shared papers)Martin Nöllenburg (3 shared papers)Kunihiko Sadakane (3 shared papers)Yuji Okada (2 shared papers)Kohei Asano (2 shared papers)Ignaz Rutter (1 shared paper)Fabrizio Montecchiani (1 shared paper)
In The Last Decade
Jinhee Chun
19 papers receiving 229 citations
Peers
Comparison fields: 5 of 38
- Computer Graphics and Computer-Aided Design 34
- Computer Vision and Pattern Recognition 157
- Experimental and Cognitive Psychology 97
- Urban Studies 32
- Human-Computer Interaction 29
Countries citing papers authored by Jinhee Chun
This map shows the geographic impact of Jinhee Chun'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 Jinhee Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinhee Chun more than expected).
Fields of papers citing papers by Jinhee Chun
This network shows the impact of papers produced by Jinhee Chun. 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 Jinhee Chun. The network helps show where Jinhee Chun may publish in the future.
Co-authors
The 18 scholars most cited alongside Jinhee Chun, 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 | 2019 | 143 | |
| 2 | 2016 | 32 | |
| 3 | 2018 | 9 | |
| 4 | 2009 | 8 | |
| 5 | 2008 | 8 | |
| 6 | 2007 | 6 | |
| 7 | 2005 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2003 | 4 | |
| 10 | 2010 | 3 | |
| 11 | 2010 | 3 | |
| 12 | 2005 | 2 | |
| 13 | 2012 | 2 | |
| 14 | Algorithms for computing the maximum weight region decomposable into elementary shapes | 2009 | 1 |
| 15 | 2017 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2006 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2017 | 1 |
About Jinhee Chun
Jinhee Chun is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Signal Processing and Computer Networks and Communications, having authored 19 papers that have together received 235 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (9 papers), Computational Geometry and Mesh Generation (9 papers), Advanced Numerical Analysis Techniques (5 papers), Image Retrieval and Classification Techniques (3 papers), Medical Image Segmentation Techniques (3 papers), Data Management and Algorithms (2 papers), 3D Shape Modeling and Analysis (2 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (34 citations), Computer Vision and Pattern Recognition (157 citations), Experimental and Cognitive Psychology (97 citations), Urban Studies (32 citations) and Human-Computer Interaction (29 citations). Jinhee Chun has collaborated with scholars based in Japan, Germany and Thailand. Frequent co-authors include Takeshi Tokuyama, Matias Korman, Martin Nöllenburg, Kunihiko Sadakane, Yuji Okada, Kohei Asano, Ignaz Rutter, Fabrizio Montecchiani, Sang Won Bae and Luca Grilli. Their work appears in journals such as Theoretical Computer Science, Algorithmica, Pattern Recognition Letters, Discrete & Computational Geometry and Computer Vision and Image Understanding.
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.