Won-Yeol Lee

10.8k citations
9 papers · 7.6k indexed · 4 hit papers · h-index 8

Won-Yeol Lee

9 papers receiving 7.1k citations

Hit Papers

CRAHNs: Cognitive radio ad hoc networks931200620262012201910002.0k3.0k4.0k

Peers

Won-Yeol Lee
Comparison fields: 5 of 71
  • Computer Networks and Communications 7.1k
  • Electrical and Electronic Engineering 5.4k
  • Signal Processing 418
  • Management Information Systems 271
  • Management Science and Operations Research 227
Replace S. Mohanty with:
S. Mohanty United States
Qing Zhao United States
E.S. Sousa Canada
Shridhar Mubaraq Mishra United States
Carlos Cordeiro United States
A.H. Aghvami United Kingdom
Husheng Li United States
Soung Chang Liew Hong Kong
Alexander M. Wyglinski United States
Sanjay Shakkottai United States
Won-Yeol Lee relative to S. Mohanty United States S. Mohanty's profile →
Citations per field
00.5×1.5×
S. Mohanty · 1×
Citations per year

Countries citing papers authored by Won-Yeol Lee

Since Specialization
Citations

This map shows the geographic impact of Won-Yeol 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-Yeol 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-Yeol Lee more than expected).

Fields of papers citing papers by Won-Yeol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Won-Yeol Lee, 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 Won-Yeol Lee Line = papers co-authored together Won-Yeol Lee links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201573
2 2010126
3 2009118
4
CRAHNs: Cognitive radio ad hoc networksbreakdown →
2009931
5
A survey on spectrum management in cognitive radio networksbreakdown →
20081183
6
Optimal spectrum sensing framework for cognitive radio networksbreakdown →
2008618
7 200832
8
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A surveybreakdown →
20064491
9 20001

About Won-Yeol Lee

Won-Yeol Lee is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 9 papers that have together received 7.6k indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (7 papers), Advanced MIMO Systems Optimization (6 papers), Wireless Communication Networks Research (5 papers), Indoor and Outdoor Localization Technologies (1 paper), Advancements in Battery Materials (1 paper), Advanced Battery Technologies Research (1 paper), Image and Video Quality Assessment (1 paper) and Cooperative Communication and Network Coding (1 paper). The work is most often cited by research in Computer Networks and Communications (7.1k citations), Electrical and Electronic Engineering (5.4k citations) and Signal Processing (418 citations). Won-Yeol Lee has collaborated with scholars based in United States and South Korea. Frequent co-authors include Ian F. Akyildiz, S. Mohanty, Mehmet C. Vuran, Kaushik Chowdhury, Ji‐Sang Yu, Ki Jae Kim, Young‐Jun Kim, Youngkwon Kim, Jae Cheol Lee and Inkyeom Kim. Their work appears in journals such as Journal of Power Sources, IEEE Communications Magazine and IEEE Transactions on Wireless Communications.

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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