Beom Kwon
Impact in
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- Human Pose and Action Recognition
- Face recognition and analysis
- Human-Computer Interaction top 10%
Papers in
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- Human Pose and Action Recognition 6
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- Wireless Communication Networks Research 5
- Cooperative Communication and Network Coding 4
- Advanced Data Storage Technologies 3
- Co-authors
- Sanghoon LeeSeonghyun KimJunghwan KimSangjoon ParkH. C. SongTaewan KimHo-Jae LeeHyukmin Son
- Journals
- IEEE Access (7 papers)Digital Signal Processing (2 papers)Wireless Networks (2 papers)IEEE Transactions on Broadcasting (2 papers)Applied Sciences (2 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Beom Kwon
33 papers receiving 321 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 140
- Human-Computer Interaction 32
- Computer Networks and Communications 82
- Electrical and Electronic Engineering 157
- Artificial Intelligence 76
Countries citing papers authored by Beom Kwon
This map shows the geographic impact of Beom Kwon'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 Beom Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beom Kwon more than expected).
Fields of papers citing papers by Beom Kwon
This network shows the impact of papers produced by Beom Kwon. 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 Beom Kwon. The network helps show where Beom Kwon may publish in the future.
Co-authors
The 18 scholars most cited alongside Beom Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 14 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 3 | |
| 13 | 2017 | 10 | |
| 14 | 2017 | 39 | |
| 15 | 2017 | 7 | |
| 16 | 2016 | 6 | |
| 17 | 2016 | 19 | |
| 18 | 2015 | 4 | |
| 19 | 2015 | 6 | |
| 20 | 2015 | 6 |
About Beom Kwon
Beom Kwon is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Human-Computer Interaction, Electrical and Electronic Engineering and Media Technology, having authored 38 papers that have together received 356 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Wireless Communication Networks Research (5 papers), Algorithms and Data Compression (5 papers), PAPR reduction in OFDM (5 papers), Cooperative Communication and Network Coding (4 papers), Advanced MIMO Systems Optimization (4 papers), Advanced Data Storage Technologies (3 papers) and Gait Recognition and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (140 citations), Human-Computer Interaction (32 citations), Computer Networks and Communications (82 citations), Electrical and Electronic Engineering (157 citations) and Artificial Intelligence (76 citations). Beom Kwon has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Sanghoon Lee, Seonghyun Kim, Junghwan Kim, Sangjoon Park, H. C. Song, Taewan Kim, Ho-Jae Lee, Hyukmin Son, Jiwoo Kang and Jongyoo Kim. Their work appears in journals such as IEEE Access, Digital Signal Processing, Wireless Networks, IEEE Transactions on Broadcasting and Applied Sciences.
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.