Je‐Won Kang
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Georges El FakhriJonghye WooXiaofeng LiuFangxu XingSeung‐Bok ChoiNayoung KimC.‐C. Jay KuoChang‐Su Kim
- Topics
- Advanced Vision and Imaging (27 papers)Video Coding and Compression Technologies (25 papers)Advanced Image Processing Techniques (18 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Je‐Won Kang
57 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Signal Processing 503
- Computer Vision and Pattern Recognition 456
- Artificial Intelligence 394
- Computer Networks and Communications 389
- Electrical and Electronic Engineering 356
Countries citing papers authored by Je‐Won Kang
This map shows the geographic impact of Je‐Won Kang'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 Je‐Won Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Je‐Won Kang more than expected).
Fields of papers citing papers by Je‐Won Kang
This network shows the impact of papers produced by Je‐Won Kang. 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 Je‐Won Kang. The network helps show where Je‐Won Kang may publish in the future.
Co-authorship network of co-authors of Je‐Won Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Je‐Won Kang. A scholar is included among the top collaborators of Je‐Won Kang 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 Je‐Won Kang. Je‐Won Kang 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 | 8 | |
| 5 | Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectivesbreakdown → | 142 |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 24 | |
| 10 | Broadcasting News Images of the 19th Presidential Election TV Debate An Analysis of Candidates’ Appearance Frequency, Facial Expression, and Gaze Direction through Deep Learning-Based Video Processing Algorithm | 0 |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | Comparison of 2D and 3D FEA of a BLDC motor | 2 |
About Je‐Won Kang
Je‐Won Kang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (27 papers), Video Coding and Compression Technologies (25 papers) and Advanced Image Processing Techniques (18 papers). The work is most often cited by research in Signal Processing (503 citations), Computer Vision and Pattern Recognition (456 citations) and Computer Networks and Communications (389 citations). Je‐Won Kang has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Georges El Fakhri, Jonghye Woo, Xiaofeng Liu, Fangxu Xing, Seung‐Bok Choi, Nayoung Kim, C.‐C. Jay Kuo, Chang‐Su Kim, Seung-Hyun Cho and Hyang Woon Lee. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and IEEE Access.
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.