YoungMin Kwon

706 citations
36 papers · 377 · h-index 9

Impact in

Papers in

YoungMin Kwon

32 papers receiving 354 citations

Peers

YoungMin Kwon
Comparison fields: 5 of 48
  • Computer Networks and Communications 242
  • Software 21
  • Ocean Engineering 74
  • Electrical and Electronic Engineering 191
  • Computational Theory and Mathematics 48
Replace Isaac Amundson with:
Isaac Amundson United States
Marcel Kyas Germany
Oliver Theel Germany
James Reich United States
Ali Mahani Iran
Alei Liang China
Matthias Woehrle Switzerland
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Pavle Belanović Austria
YoungMin Kwon relative to Isaac Amundson United States Isaac Amundson's profile →
Citations per field
00.5×2.7×
Isaac Amundson · 1×
Citations per year

Countries citing papers authored by YoungMin Kwon

Since Specialization
Citations

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

Fields of papers citing papers by YoungMin Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside YoungMin Kwon, 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 YoungMin Kwon Line = papers co-authored together YoungMin Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cooperative tracking with binary-detection sensor networks.
200389
2 200564
3 200644
4 200341
5 200820
6 201014
7 200611
8 20079
9 20109
10 20168
11 20218
12 20106
13 20056
14
Coordination Services for Wireless Sensor Networks
20045
15 20155
16 20115
17 20104
18 20154
19 20163
20 19993

About YoungMin Kwon

YoungMin Kwon is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering and Software, having authored 36 papers that have together received 377 indexed citations. Recurring topics across this work include Formal Methods in Verification (9 papers), Energy Efficient Wireless Sensor Networks (8 papers), Indoor and Outdoor Localization Technologies (7 papers), Petri Nets in System Modeling (4 papers), Underwater Vehicles and Communication Systems (3 papers), Advanced Neural Network Applications (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Computer Networks and Communications (242 citations), Software (21 citations), Ocean Engineering (74 citations), Electrical and Electronic Engineering (191 citations) and Computational Theory and Mathematics (48 citations). YoungMin Kwon has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Gul Agha, Sameer Sundresh, Kirill Mechitov, Wooyoung Kim, Mahesh Viswanathan, Vijay Anand Korthikanti, Eun Hee Kim, Jong-Chan Lee, Min Cheol Chang and Seong‐Ho Jang. Their work appears in journals such as Electronics, ACM Transactions on Sensor Networks, Journal of Curriculum Studies, IEEE Transactions on Automatic Control and IEEE Access.

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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