Jun Won Choi

94 papers receiving 2.1k citations

Peers

Jun Won Choi
Comparison fields: 5 of 97
  • Automotive Engineering 423
  • Signal Processing 275
  • Computer Vision and Pattern Recognition 423
  • Electrical and Electronic Engineering 1.1k
  • Ocean Engineering 248
Replace Philippe Bonnifait with:
Philippe Bonnifait France
Yuanchao Shu China
Daniele Fontanelli Italy
Gerd Wanielik Germany
Tankut Acarman Türkiye
Myo Taeg Lim South Korea
David Macii Italy
Diange Yang China
Musa Furkan Keskin Sweden
Gabriel Agamennoni Australia
Jun Won Choi relative to Philippe Bonnifait France Philippe Bonnifait's profile →
Citations per field
00.5×6.2×
Philippe Bonnifait · 1×
Citations per year

Countries citing papers authored by Jun Won Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Won Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Won Choi, 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 Jun Won Choi Line = papers co-authored together Jun Won Choi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017254
2 2017237
3 2017114
4 2017106
5 2015105
6 201688
7 201188
8 202177
9 202365
10 201060
11 202357
12 201551
13 200250
14 202043
15 201743
16 202043
17 202039
18 200835
19 201635
20 200932

About Jun Won Choi

Jun Won Choi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 103 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (27 papers), Advanced MIMO Systems Optimization (22 papers), Advanced Neural Network Applications (19 papers), Wireless Communication Networks Research (16 papers), Error Correcting Code Techniques (11 papers), Blind Source Separation Techniques (11 papers), Underwater Vehicles and Communication Systems (10 papers) and Autonomous Vehicle Technology and Safety (9 papers). The work is most often cited by research in Automotive Engineering (423 citations), Signal Processing (275 citations), Computer Vision and Pattern Recognition (423 citations), Electrical and Electronic Engineering (1.1k citations) and Ocean Engineering (248 citations). Jun Won Choi has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Byonghyo Shim, Jaekyum Kim, ByeoungDo Kim, Andrew C. Singer, Dongsuk Kum, Chung Choo Chung, Chang Mook Kang, Nam Ik Cho, Sunwoo Kim and Seung Hi Lee. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Communications Letters, IEEE Transactions on Wireless Communications and Journal of Communications and Networks.

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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