Won Joon Yun

88 total papers · 1.2k total citations
39 papers, 724 citations indexed

About

Won Joon Yun is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Won Joon Yun has authored 39 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 14 papers in Electrical and Electronic Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Won Joon Yun's work include UAV Applications and Optimization (10 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum Information and Cryptography (7 papers). Won Joon Yun is often cited by papers focused on UAV Applications and Optimization (10 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum Information and Cryptography (7 papers). Won Joon Yun collaborates with scholars based in South Korea, United States and Australia. Won Joon Yun's co-authors include Joongheon Kim, Soyi Jung, Jae‐Hyun Kim, MyungJae Shin, Soohyun Park, Jihong Park, Aziz Mohaisen, Joongheon Kim, Young‐Chai Ko and Byungju Lim and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Won Joon Yun

38 papers receiving 708 citations

Hit Papers

Cooperative Multiagent De... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Won Joon Yun 318 216 191 178 132 39 724
Mingsong Lv 113 0.4× 102 0.5× 298 1.6× 197 1.1× 125 0.9× 63 905
Christos Kyrkou 187 0.6× 156 0.7× 131 0.7× 229 1.3× 462 3.5× 52 838
Zhengru Fang 105 0.3× 272 1.3× 414 2.2× 327 1.8× 138 1.0× 32 843
Zijian Hu 158 0.5× 158 0.7× 86 0.5× 260 1.5× 162 1.2× 44 624
Xin Chen 170 0.5× 147 0.7× 184 1.0× 129 0.7× 47 0.4× 67 674
Fatih Erden 125 0.4× 162 0.8× 109 0.6× 428 2.4× 154 1.2× 36 817
Nadine Le Fort-Piat 189 0.6× 95 0.4× 112 0.6× 111 0.6× 162 1.2× 37 703
Chaoqun Yang 209 0.7× 431 2.0× 206 1.1× 219 1.2× 193 1.5× 45 826
Klaus D. Müller-Glaser 160 0.5× 84 0.4× 159 0.8× 247 1.4× 67 0.5× 101 682
Lu Sun 138 0.4× 320 1.5× 221 1.2× 197 1.1× 147 1.1× 54 862

Countries citing papers authored by Won Joon Yun

Since Specialization
Citations

This map shows the geographic impact of Won Joon Yun'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 Won Joon Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Joon Yun more than expected).

Fields of papers citing papers by Won Joon Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Joon Yun. 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 Won Joon Yun. The network helps show where Won Joon Yun may publish in the future.

Co-authorship network of co-authors of Won Joon Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Won Joon Yun. A scholar is included among the top collaborators of Won Joon Yun 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 Won Joon Yun. Won Joon Yun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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