Won Cheol Lee

119 total papers · 1.0k total citations
57 papers, 747 citations indexed

About

Won Cheol Lee is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Won Cheol Lee has authored 57 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 21 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Won Cheol Lee's work include Advanced MIMO Systems Optimization (13 papers), Wireless Communication Networks Research (10 papers) and Cognitive Radio Networks and Spectrum Sensing (7 papers). Won Cheol Lee is often cited by papers focused on Advanced MIMO Systems Optimization (13 papers), Wireless Communication Networks Research (10 papers) and Cognitive Radio Networks and Spectrum Sensing (7 papers). Won Cheol Lee collaborates with scholars based in South Korea and United States. Won Cheol Lee's co-authors include Yoan Shin, Zhuang Zhao, Young June Park, Ho‐Seok Lee, Seongwook Choi, Dong‐Sik Shin, Dae Hee Youn, S.U. Pillai, Chungyong Lee and Heung-Ryeol You and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Won Cheol Lee

49 papers receiving 718 citations

Hit Papers

An Optimal Power Scheduli... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Won Cheol Lee 633 306 156 153 79 57 747
Zening Li 691 1.1× 215 0.7× 103 0.7× 101 0.7× 43 0.5× 56 900
Bo Cao 522 0.8× 266 0.9× 62 0.4× 57 0.4× 18 0.2× 74 743
Chin-Yao Chang 639 1.0× 411 1.3× 105 0.7× 141 0.9× 52 0.7× 44 765
Mardavij Roozbehani 626 1.0× 433 1.4× 116 0.7× 37 0.2× 84 1.1× 53 846
Huaiguang Jiang 617 1.0× 217 0.7× 57 0.4× 84 0.5× 36 0.5× 41 800
Pawan Kumar 394 0.6× 234 0.8× 146 0.9× 30 0.2× 45 0.6× 54 699
Jiawei Zhu 405 0.6× 104 0.3× 99 0.6× 50 0.3× 25 0.3× 34 714
Daniel Arnold 439 0.7× 514 1.7× 29 0.2× 28 0.2× 78 1.0× 46 728
Fabiola Angulo 316 0.5× 294 1.0× 43 0.3× 22 0.1× 105 1.3× 79 639
Ahsan Raza Khan 435 0.7× 144 0.5× 79 0.5× 68 0.4× 58 0.7× 42 642

Countries citing papers authored by Won Cheol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won Cheol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won Cheol Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Won Cheol Lee. A scholar is included among the top collaborators of Won Cheol Lee 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 Cheol Lee. Won Cheol Lee 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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