Soyi Jung
Impact in
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- Distributed Control Multi-Agent Systems
- IoT and Edge/Fog Computing
- Aerospace Engineering top 5%
- UAV Applications and Optimization
Papers in
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- Distributed Control Multi-Agent Systems 11
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- UAV Applications and Optimization 27
- Satellite Communication Systems 9
- Co-authors
- Joongheon KimWon Joon YunJae‐Hyun KimSoohyun ParkMyungJae ShinChanyoung ParkAziz MohaisenJihong Park
- Journals
- ICT Express (6 papers)IEEE Transactions on Vehicular Technology (6 papers)Journal of Communications and Networks (5 papers)IEEE Access (5 papers)IEEE Internet of Things Journal (5 papers)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Soyi Jung
75 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Networks and Communications 333
- Aerospace Engineering 351
- Artificial Intelligence 409
- Automotive Engineering 87
- Computer Vision and Pattern Recognition 145
Countries citing papers authored by Soyi Jung
This map shows the geographic impact of Soyi Jung'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 Soyi Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soyi Jung more than expected).
Fields of papers citing papers by Soyi Jung
This network shows the impact of papers produced by Soyi Jung. 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 Soyi Jung. The network helps show where Soyi Jung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Soyi Jung, 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 | 5 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 32 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 34 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 11 | |
| 17 | 2022 | 9 | |
| 18 | Attention-based reinforcement learning for real-time UAV semantic communication | 2021 | 29 |
| 19 | 2021 | 73 | |
| 20 | 2020 | 33 |
About Soyi Jung
Soyi Jung is a scholar working on Computer Networks and Communications, Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 90 papers that have together received 1.1k indexed citations. Recurring topics across this work include UAV Applications and Optimization (27 papers), Quantum Computing Algorithms and Architecture (12 papers), Distributed Control Multi-Agent Systems (11 papers), Quantum Information and Cryptography (10 papers), Energy Harvesting in Wireless Networks (9 papers), Satellite Communication Systems (9 papers), Privacy-Preserving Technologies in Data (9 papers) and IoT Networks and Protocols (7 papers). The work is most often cited by research in Computer Networks and Communications (333 citations), Aerospace Engineering (351 citations), Artificial Intelligence (409 citations), Automotive Engineering (87 citations) and Computer Vision and Pattern Recognition (145 citations). Soyi Jung has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Joongheon Kim, Won Joon Yun, Jae‐Hyun Kim, Soohyun Park, MyungJae Shin, Chanyoung Park, Aziz Mohaisen, Joongheon Kim, Jihong Park and Mehdi Bennis. Their work appears in journals such as ICT Express, IEEE Transactions on Vehicular Technology, Journal of Communications and Networks, IEEE Access and IEEE Internet of Things Journal.
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.