Dae Kun Kwon

2.2k citations
38 papers · 1.2k · h-index 16

Impact in

Papers in

Dae Kun Kwon

37 papers receiving 1.1k citations

Peers

Dae Kun Kwon
Comparison fields: 5 of 66
  • Environmental Engineering 802
  • Civil and Structural Engineering 561
  • Statistics, Probability and Uncertainty 145
  • Computational Mechanics 318
  • Atmospheric Science 252
Replace Wenjuan Lou with:
Wenjuan Lou China
Tianyou Tao China
R.I. Harris United Kingdom
Seymour M.J. Spence United States
Peng Huang China
Zhenru Shu China
T. Kijewski United States
K.T. Tse Hong Kong
Dae Kun Kwon relative to Wenjuan Lou China Wenjuan Lou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dae Kun Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Dae Kun Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Dae Kun 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 Dae Kun Kwon Line = papers co-authored together Dae Kun Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011145
2 2006113
3 2009112
4 201397
5 201289
6 201373
7 199870
8 201466
9 200853
10 201948
11 201530
12 201226
13 202025
14 201324
15 201924
16 201419
17 201514
18 201712
19 202212
20 201811

About Dae Kun Kwon

Dae Kun Kwon is a scholar working on Environmental Engineering, Civil and Structural Engineering, Computational Mechanics, Atmospheric Science and Aerospace Engineering, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wind and Air Flow Studies (30 papers), Structural Health Monitoring Techniques (13 papers), Meteorological Phenomena and Simulations (9 papers), Fluid Dynamics and Vibration Analysis (9 papers), Seismic Performance and Analysis (8 papers), Probabilistic and Robust Engineering Design (5 papers), Tropical and Extratropical Cyclones Research (4 papers) and Aerodynamics and Fluid Dynamics Research (4 papers). The work is most often cited by research in Environmental Engineering (802 citations), Civil and Structural Engineering (561 citations), Statistics, Probability and Uncertainty (145 citations), Computational Mechanics (318 citations) and Atmospheric Science (252 citations). Dae Kun Kwon has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Ahsan Kareem, Chang‐Koon Choi, Tracy Kijewski‐Correa, Yanlin Guo, Lijuan Wang, Seymour M.J. Spence, Ahmad Abdelrazaq, E. Bernardini, Jae‐Seung Hwang and Liang Hu. Their work appears in journals such as Journal of Structural Engineering, Wind and Structures, Engineering Structures, Journal of Engineering Mechanics and Computer-Aided Civil and Infrastructure Engineering.

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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