Soyi Jung

1.7k citations
90 papers · 1.1k indexed · 1 hit paper · h-index 19

Impact in

Papers in

Soyi Jung

75 papers receiving 1.0k citations

Hit Papers

Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control 2022 · 133 citations
13320222026202320244080120

Peers

Soyi Jung
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
Replace Won Joon Yun with:
Won Joon Yun South Korea
Asma Benmessaoud Gabis Algeria
Matthew J. Rutherford United States
Han Wang China
Peyman Setoodeh Iran
Antonio Pietrabissa Italy
Muhammad Fahad Khan Pakistan
Yimin Deng China
Tareq M. Shami United Kingdom
Fanzi Zeng China
Soyi Jung relative to Won Joon Yun South Korea Won Joon Yun's profile →
Citations per field
00.5×3.2×
Won Joon Yun · 1×
Citations per year

Countries citing papers authored by Soyi Jung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Soyi Jung Line = papers co-authored together Soyi Jung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20251
3 20250
4 202413
5 20240
6 20243
7 20240
8 20240
9 20248
10 20248
11 20232
12 202332
13 202318
14 202334
15 20235
16 202311
17 20229
18
Attention-based reinforcement learning for real-time UAV semantic communication
202129
19 202173
20 202033

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.

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