Jaeyeon Kang
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Computer Networks and Communications top 10%
- Hardware and Architecture top 10%
- Information Systems
- Co-authors
- Younghyun JoSeon Joo KimSeoung Wug OhSanjay RankaDaniel WaddingtonYoung‐Soo LeeHaeyoung LeeJun Ho Park
- Topics
- Parallel Computing and Optimization Techniques (8 papers)Distributed and Parallel Computing Systems (5 papers)Interconnection Networks and Systems (4 papers)
- Journals
- Journal of Advanced NursingJournal of Parallel and Distributed ComputingIndian Journal of Science and Technology
- Partner nations
- United StatesSouth Korea
In The Last Decade
Jaeyeon Kang
14 papers receiving 450 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 342
- Media Technology 148
- Computer Networks and Communications 65
- Hardware and Architecture 59
- Information Systems 44
Countries citing papers authored by Jaeyeon Kang
This map shows the geographic impact of Jaeyeon 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 Jaeyeon Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaeyeon Kang more than expected).
Fields of papers citing papers by Jaeyeon Kang
This network shows the impact of papers produced by Jaeyeon 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 Jaeyeon Kang. The network helps show where Jaeyeon Kang may publish in the future.
Co-authorship network of co-authors of Jaeyeon Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Jaeyeon Kang. A scholar is included among the top collaborators of Jaeyeon 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 Jaeyeon Kang. Jaeyeon 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 | 12 | |
| 2 | 1 | |
| 3 | Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensationbreakdown → | 360 |
| 4 | Vision Based Bin Picking Method Using Hierarchical Image Analysis | 1 |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 26 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | 10 | |
| 13 | Scheduling algorithms for energy minimization | 2 |
| 14 | 2 |
About Jaeyeon Kang
Jaeyeon Kang is a scholar working on Hardware and Architecture, Issues, ethics and legal aspects and Computer Networks and Communications, having authored 14 papers that have together received 460 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Distributed and Parallel Computing Systems (5 papers) and Interconnection Networks and Systems (4 papers). The work is most often cited by research in Media Technology (148 citations), Computer Vision and Pattern Recognition (342 citations) and Hardware and Architecture (59 citations). Jaeyeon Kang has collaborated with scholars based in United States and South Korea. Frequent co-authors include Younghyun Jo, Seon Joo Kim, Seoung Wug Oh, Sanjay Ranka, Daniel Waddington, Young‐Soo Lee, Haeyoung Lee, Jun Ho Park, Sunju Sohn and Eunseok Lee. Their work appears in journals such as Journal of Advanced Nursing, Journal of Parallel and Distributed Computing and Indian Journal of Science and Technology.
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.