O’Dae Kwon

1.4k citations
67 papers · 1.2k · h-index 17

Impact in

Papers in

O’Dae Kwon

62 papers receiving 1.1k citations

Peers

O’Dae Kwon
Comparison fields: 5 of 45
  • Computer Networks and Communications 739
  • Control and Systems Engineering 620
  • Statistical and Nonlinear Physics 177
  • Computational Theory and Mathematics 187
  • Electrical and Electronic Engineering 308
Replace Xiaoyang Gao with:
Xiaoyang Gao China
Khalid H. Alharbi United Kingdom
Yiping Luo China
Christian Ebenbauer Germany
Piyapong Niamsup Thailand
Shouwei Zhao China
Xueyan Yang China
D.M.W. Leenaerts Netherlands
G. Nagamani India
Mohammad Hossein Shafiei Iran
O’Dae Kwon relative to Xiaoyang Gao China Xiaoyang Gao's profile →
Citations per field
00.5×10.2×
Xiaoyang Gao · 1×
Citations per year

Countries citing papers authored by O’Dae Kwon

Since Specialization
Citations

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

Fields of papers citing papers by O’Dae Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014117
2 2012109
3 201371
4 201365
5 201465
6 201360
7 200855
8 201254
9 201647
10 199945
11 201240
12 201239
13 200731
14 202123
15 200122
16 201120
17 201420
18 200716
19 202016
20 200616

About O’Dae Kwon

O’Dae Kwon is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Control and Systems Engineering and Artificial Intelligence, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Photonic and Optical Devices (32 papers), Neural Networks Stability and Synchronization (24 papers), Semiconductor Lasers and Optical Devices (23 papers), Stability and Control of Uncertain Systems (18 papers), Photonic Crystals and Applications (12 papers), Neural Networks and Reservoir Computing (7 papers), Optical Network Technologies (7 papers) and Matrix Theory and Algorithms (7 papers). The work is most often cited by research in Computer Networks and Communications (739 citations), Control and Systems Engineering (620 citations), Statistical and Nonlinear Physics (177 citations), Computational Theory and Mathematics (187 citations) and Electrical and Electronic Engineering (308 citations). O’Dae Kwon has collaborated with scholars based in South Korea, India and Romania. Frequent co-authors include Ju H. Park, Sangmoon Lee, Myeongjin Park, E.J. Cha, Tae-Hee Lee, Ho-Youl Jung, Yajuan Liu, Seong Gon Choi, S. Lakshmanan and R. Rakkiyappan. Their work appears in journals such as Journal of Applied Physics, Journal of the Franklin Institute, Applied Mathematics and Computation, Neurocomputing and Applied Physics 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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