Eunchul Yoon

1.4k citations
63 papers · 1.1k · h-index 20

Impact in

Papers in

Eunchul Yoon

59 papers receiving 1.0k citations

Peers

Eunchul Yoon
Comparison fields: 5 of 55
  • Information Systems 641
  • Computational Theory and Mathematics 450
  • Signal Processing 207
  • Artificial Intelligence 438
  • Computer Networks and Communications 172
Replace Yin Cai with:
Yin Cai China
Ching‐Tien Ho United States
Gregory Neven Switzerland
Michael Zohner Germany
Raylin Tso Taiwan
Stanisław Jarecki United States
Linzhang Wang China
Sam H. Noh South Korea
Kamer Kaya Türkiye
Eunchul Yoon relative to Yin Cai China Yin Cai's profile →
Citations per field
00.5×3.5×
Yin Cai · 1×
Citations per year

Countries citing papers authored by Eunchul Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Eunchul Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eunchul Yoon. 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 Eunchul Yoon. The network helps show where Eunchul Yoon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201799
2 200477
3 200564
4 201954
5 201851
6 201749
7 202048
8 201947
9 201940
10 201940
11 202037
12 202034
13 202031
14 201229
15 202227
16 200425
17 201424
18 202022
19 202022
20 200420

About Eunchul Yoon

Eunchul Yoon is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems, Computational Theory and Mathematics and Artificial Intelligence, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (19 papers), Rough Sets and Fuzzy Logic (17 papers), Advanced MIMO Systems Optimization (15 papers), Advanced Wireless Communication Techniques (13 papers), Cooperative Communication and Network Coding (12 papers), Imbalanced Data Classification Techniques (11 papers), Advanced Wireless Network Optimization (8 papers) and Semiconductor materials and devices (8 papers). The work is most often cited by research in Information Systems (641 citations), Computational Theory and Mathematics (450 citations), Signal Processing (207 citations), Artificial Intelligence (438 citations) and Computer Networks and Communications (172 citations). Eunchul Yoon has collaborated with scholars based in South Korea, United States and Norway. Frequent co-authors include Unil Yun, Gangin Lee, Hyoju Nam, Jerry Chun‐Wei Lin, Hamido Fujita, Dong-Gyu Kim, Andrea Goldsmith, Taesang Yoo, Yoonji Baek and A. Paulraj. Their work appears in journals such as IEEE Access, Information Sciences, IEEE Transactions on Communications, Future Generation Computer Systems and IEEE Electron Device Letters.

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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