Byung‐Gyu Kim
- Computer Vision and Pattern Recognition top 0.5%
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Co-authors
- Kostas E. PsannisBrij B. GuptaChristos StergiouPartha Pratim RoyYutaka IshibashiDa-Mi JeongJi‐Hae KimDebi Prosad Dogra
- Topics
- Video Coding and Compression Technologies (63 papers)Advanced Vision and Imaging (59 papers)Advanced Image Processing Techniques (30 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Partner nations
- South KoreaIndiaChina
In The Last Decade
Byung‐Gyu Kim
183 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Computer Vision and Pattern Recognition 1.6k
- Computer Networks and Communications 932
- Information Systems 716
- Artificial Intelligence 691
- Signal Processing 677
Countries citing papers authored by Byung‐Gyu Kim
This map shows the geographic impact of Byung‐Gyu 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 Byung‐Gyu Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byung‐Gyu Kim more than expected).
Fields of papers citing papers by Byung‐Gyu Kim
This network shows the impact of papers produced by Byung‐Gyu 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 Byung‐Gyu Kim. The network helps show where Byung‐Gyu Kim may publish in the future.
Co-authorship network of co-authors of Byung‐Gyu Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Byung‐Gyu Kim. A scholar is included among the top collaborators of Byung‐Gyu 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 Byung‐Gyu Kim. Byung‐Gyu 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 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 32 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 26 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 29 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 67 | |
| 17 | 2 | |
| 18 | 20 | |
| 19 | 7 | |
| 20 | A Technique for Extracting Small-Signal Equivalent-Circuit Elements of HEMTs | 35 |
About Byung‐Gyu Kim
Byung‐Gyu Kim is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 198 papers that have together received 3.9k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (63 papers), Advanced Vision and Imaging (59 papers) and Advanced Image Processing Techniques (30 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Signal Processing (677 citations) and Computer Networks and Communications (932 citations). Byung‐Gyu Kim has collaborated with scholars based in South Korea, India and China. Frequent co-authors include Kostas E. Psannis, Brij B. Gupta, Christos Stergiou, Partha Pratim Roy, Yutaka Ishibashi, Da-Mi Jeong, Ji‐Hae Kim, Debi Prosad Dogra, Vasileios A. Memos and Naveen Chilamkurti. Their work appears in journals such as Journal of Biological Chemistry, Blood and IEEE Transactions on Industrial Electronics.
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.