Kwan‐Jung Oh
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Media Technology top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Yo‐Sung HoSehoon YeaAnthony VetroYo-Sung HoByung Tae OhAntónio PinheiroPeter SchelkensFernando Pereira
- Topics
- Advanced Vision and Imaging (31 papers)Video Coding and Compression Technologies (23 papers)Advanced Optical Imaging Technologies (18 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- Optics ExpressIEEE AccessSensors
- Partner nations
- South KoreaPortugalUnited States
In The Last Decade
Kwan‐Jung Oh
40 papers receiving 591 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 576
- Signal Processing 380
- Media Technology 117
- Computer Graphics and Computer-Aided Design 75
- Atomic and Molecular Physics, and Optics 60
Countries citing papers authored by Kwan‐Jung Oh
This map shows the geographic impact of Kwan‐Jung Oh'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 Kwan‐Jung Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwan‐Jung Oh more than expected).
Fields of papers citing papers by Kwan‐Jung Oh
This network shows the impact of papers produced by Kwan‐Jung Oh. 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 Kwan‐Jung Oh. The network helps show where Kwan‐Jung Oh may publish in the future.
Co-authorship network of co-authors of Kwan‐Jung Oh
This figure shows the co-authorship network connecting the top 25 collaborators of Kwan‐Jung Oh. A scholar is included among the top collaborators of Kwan‐Jung Oh 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 Kwan‐Jung Oh. Kwan‐Jung Oh 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | Depth intra skip prediction for 3D video coding | 5 |
| 17 | 6 | |
| 18 | 11 | |
| 19 | 8 | |
| 20 | 47 |
About Kwan‐Jung Oh
Kwan‐Jung Oh is a scholar working on Acoustics and Ultrasonics, Media Technology and Signal Processing, having authored 46 papers that have together received 614 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (31 papers), Video Coding and Compression Technologies (23 papers) and Advanced Optical Imaging Technologies (18 papers). The work is most often cited by research in Signal Processing (380 citations), Computer Vision and Pattern Recognition (576 citations) and Computer Graphics and Computer-Aided Design (75 citations). Kwan‐Jung Oh has collaborated with scholars based in South Korea, Portugal and United States. Frequent co-authors include Yo‐Sung Ho, Sehoon Yea, Anthony Vetro, Yo-Sung Ho, Byung Tae Oh, António Pinheiro, Peter Schelkens, Fernando Pereira, Touradj Ebrahimi and Jinwoong Kim. Their work appears in journals such as Optics Express, IEEE Access and Sensors.
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.