Seongjai Kim
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Geophysics top 10%
- Electrical and Electronic Engineering
- Numerical Analysis top 5%
- Co-authors
- Jim DouglasChangsoo ShinHarold L. AtwoodRobin L. CooperWilliam W. SymesJoseph B. KellerJeffrey L. WillersClifford J. Nolan
- Topics
- Image and Signal Denoising Methods (16 papers)Advanced Numerical Methods in Computational Mathematics (13 papers)Advanced Image Processing Techniques (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaBrain ResearchIEEE Transactions on Image Processing
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Seongjai Kim
49 papers receiving 723 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 314
- Computational Mechanics 235
- Geophysics 157
- Electrical and Electronic Engineering 145
- Numerical Analysis 123
Countries citing papers authored by Seongjai Kim
This map shows the geographic impact of Seongjai Kim'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 Seongjai Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seongjai Kim more than expected).
Fields of papers citing papers by Seongjai Kim
This network shows the impact of papers produced by Seongjai Kim. 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 Seongjai Kim. The network helps show where Seongjai Kim may publish in the future.
Co-authorship network of co-authors of Seongjai Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seongjai Kim. A scholar is included among the top collaborators of Seongjai Kim 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 Seongjai Kim. Seongjai Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | Digital elevation modeling via curvature interpolation for LiDAR data | 4 |
| 4 | 5 | |
| 5 | 52 | |
| 6 | A non-convex diffusion model for simultaneous image denoising and edge enhancement | 9 |
| 7 | PDE-based Image Interpolators | 1 |
| 8 | 71 | |
| 9 | Equalized net diffusion (END) in Image denoising | 2 |
| 10 | 73 | |
| 11 | 37 | |
| 12 | 13 | |
| 13 | PDE-based image restoration, II: Numerical schemes and color image denoising | 1 |
| 14 | 33 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 4 | |
| 18 | 79 | |
| 19 | 5 | |
| 20 | 12 |
About Seongjai Kim
Seongjai Kim is a scholar working on Computational Mechanics, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 804 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (16 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Advanced Image Processing Techniques (13 papers). The work is most often cited by research in Numerical Analysis (123 citations), Computer Vision and Pattern Recognition (314 citations) and Geophysics (157 citations). Seongjai Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Jim Douglas, Changsoo Shin, Harold L. Atwood, Robin L. Cooper, William W. Symes, Joseph B. Keller, Jeffrey L. Willers, Clifford J. Nolan, George V. Popescu and Donghoon Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and IEEE Transactions on Image Processing.
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.