Inchang Choi
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Computational Mechanics top 10%
- Biomedical Engineering
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Min H. KimDaniel S. JeonDiego GutiérrezGiljoo NamSeung-Hwan BaekJan KautzOrazio GalloAlejandro Troccoli
- Topics
- Advanced Vision and Imaging (7 papers)Advanced Image Processing Techniques (7 papers)Image and Signal Denoising Methods (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Partner nations
- South KoreaCanadaHong Kong
In The Last Decade
Inchang Choi
10 papers receiving 518 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 448
- Media Technology 187
- Computational Mechanics 122
- Biomedical Engineering 101
- Computer Graphics and Computer-Aided Design 73
Countries citing papers authored by Inchang Choi
This map shows the geographic impact of Inchang 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 Inchang Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inchang Choi more than expected).
Fields of papers citing papers by Inchang Choi
This network shows the impact of papers produced by Inchang 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 Inchang Choi. The network helps show where Inchang Choi may publish in the future.
Co-authorship network of co-authors of Inchang Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Inchang Choi. A scholar is included among the top collaborators of Inchang Choi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Inchang Choi. Inchang Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 111 | |
| 3 | 1 | |
| 4 | 107 | |
| 5 | 206 | |
| 6 | 23 | |
| 7 | 33 | |
| 8 | 12 | |
| 9 | 18 | |
| 10 | 19 | |
| 11 | Development of Surface Inspection System Using Line Scan Camera in Shock Absorber Rod | 1 |
About Inchang Choi
Inchang Choi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics, having authored 11 papers that have together received 538 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Advanced Image Processing Techniques (7 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (448 citations), Media Technology (187 citations) and Computer Graphics and Computer-Aided Design (73 citations). Inchang Choi has collaborated with scholars based in South Korea, Canada and Hong Kong. Frequent co-authors include Min H. Kim, Daniel S. Jeon, Diego Gutiérrez, Giljoo Nam, Seung-Hwan Baek, Jan Kautz, Orazio Gallo, Alejandro Troccoli, Joo Ho Lee and Yu‐Wing Tai. Their work appears in journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and Computer Graphics Forum.
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.