Dae Kun Kwon

2.2k total citations
38 papers, 1.2k citations indexed

About

Dae Kun Kwon is a scholar working on Environmental Engineering, Civil and Structural Engineering and Computational Mechanics. According to data from OpenAlex, Dae Kun Kwon has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Environmental Engineering, 20 papers in Civil and Structural Engineering and 11 papers in Computational Mechanics. Recurrent topics in Dae Kun Kwon's work include Wind and Air Flow Studies (30 papers), Structural Health Monitoring Techniques (13 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Dae Kun Kwon is often cited by papers focused on Wind and Air Flow Studies (30 papers), Structural Health Monitoring Techniques (13 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Dae Kun Kwon collaborates with scholars based in United States, South Korea and Canada. Dae Kun Kwon's 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 and has published in prestigious journals such as Engineering Structures, Journal of Structural Engineering and Earthquake Engineering & Structural Dynamics.

In The Last Decade

Dae Kun Kwon

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dae Kun Kwon United States	16	802	561	318	252	218	38	1.2k
Wei Cui China	18	456 0.6×	525 0.9×	262 0.8×	204 0.8×	94 0.4×	54	972
Wenjuan Lou China	17	481 0.6×	331 0.6×	311 1.0×	159 0.6×	231 1.1×	84	1.0k
Liuliu Peng China	17	513 0.6×	301 0.5×	214 0.7×	116 0.5×	229 1.1×	41	861
Tianyou Tao China	22	613 0.8×	763 1.4×	376 1.2×	210 0.8×	173 0.8×	54	1.3k
Fred L. Haan United States	17	783 1.0×	274 0.5×	512 1.6×	427 1.7×	286 1.3×	39	1.2k
Seymour M.J. Spence United States	24	944 1.2×	1.1k 2.0×	240 0.8×	138 0.5×	105 0.5×	86	1.6k
Peng Huang China	16	448 0.6×	223 0.4×	170 0.5×	143 0.6×	227 1.0×	82	802
T. Kijewski United States	11	480 0.6×	734 1.3×	297 0.9×	73 0.3×	117 0.5×	16	1.1k
R.I. Harris United Kingdom	19	791 1.0×	142 0.3×	208 0.7×	285 1.1×	354 1.6×	36	1.1k

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-authorship network of co-authors of Dae Kun Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Kun Kwon. A scholar is included among the top collaborators of Dae Kun Kwon 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 Dae Kun Kwon. Dae Kun Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kareem, Ahsan, et al.. (2020). Identification of Vortex-Induced Vibration of Tall Building Pinnacle Using Cluster Analysis for Fatigue Evaluation: Application to Burj Khalifa. Journal of Structural Engineering. 146(11). 25 indexed citations

Hwang, Jae‐Seung, Dae Kun Kwon, & Ahsan Kareem. (2019). Frequency Domain State Space–Based Mode Decomposition Framework. Journal of Engineering Mechanics. 145(7). 9 indexed citations

Hwang, Jae‐Seung, Dae Kun Kwon, & Ahsan Kareem. (2018). Estimation of Structural Modal Parameters under Winds Using a Virtual Dynamic Shaker. Journal of Engineering Mechanics. 144(4). 11 indexed citations

Bernardini, E., Seymour M.J. Spence, Dae Kun Kwon, & Ahsan Kareem. (2014). Performance-Based Design of High-Rise Buildings for Occupant Comfort. Journal of Structural Engineering. 141(10). 66 indexed citations

Chen, Xinzhong, Dae Kun Kwon, & Ahsan Kareem. (2014). High-frequency force balance technique for tall buildings: a critical review and some new insights. Wind and Structures. 18(4). 391–422. 11 indexed citations

Kwon, Dae Kun & Ahsan Kareem. (2014). Revisiting Gust Averaging Time and Gust Effect Factor in ASCE 7. Journal of Structural Engineering. 140(11). 19 indexed citations

Kwon, Dae Kun, Seymour M.J. Spence, & Ahsan Kareem. (2014). Performance Evaluation of Database-Enabled Design Frameworks for the Preliminary Design of Tall Buildings. Journal of Structural Engineering. 141(10). 7 indexed citations

Kwon, Dae Kun, Seymour M.J. Spence, & Ahsan Kareem. (2014). A cyberbased Data-Enabled Design framework for high-rise buildings driven by synchronously measured surface pressures. Advances in Engineering Software. 77. 13–27. 8 indexed citations

Kwon, Dae Kun, et al.. (2013). Efficacy of Averaging Interval for Nonstationary Winds. Journal of Engineering Mechanics. 140(1). 1–19. 97 indexed citations

10.

Kwon, Dae Kun, et al.. (2012). Gust-front loading effects on wind turbine tower systems. Journal of Wind Engineering and Industrial Aerodynamics. 104-106. 109–115. 26 indexed citations

11.

Kijewski‐Correa, Tracy, et al.. (2012). SmartSync: An Integrated Real-Time Structural Health Monitoring and Structural Identification System for Tall Buildings. Journal of Structural Engineering. 139(10). 1675–1687. 89 indexed citations

12.

Kwon, Dae Kun, Tracy Kijewski‐Correa, & Ahsan Kareem. (2010). SmartSync: An Integrated Real-Time Monitoring and SI System for Tall Buildings. Structures Congress 2010. 3176–3185. 4 indexed citations

13.

Kwon, Dae Kun & Ahsan Kareem. (2009). Gust-Front Factor: New Framework for Wind Load Effects on Structures. Journal of Structural Engineering. 135(6). 717–732. 112 indexed citations

14.

Kwon, Dae Kun, Tracy Kijewski‐Correa, & Ahsan Kareem. (2008). e-Analysis of High-Rise Buildings Subjected to Wind Loads. Journal of Structural Engineering. 134(7). 1139–1153. 53 indexed citations

15.

Kijewski‐Correa, Tracy, John E. Kilpatrick, Ahsan Kareem, et al.. (2006). Validating Wind-Induced Response of Tall Buildings: Synopsis of the Chicago Full-Scale Monitoring Program. Journal of Structural Engineering. 132(10). 1509–1523. 113 indexed citations

16.

Kijewski‐Correa, Tracy, et al.. (2005). Full-Scale Validation of the Wind-Induced Response of Tall Buildings: Updated Findings From the Chicago Monitoring Project. 2004. 1–7. 5 indexed citations

17.

Choi, Chang‐Koon & Dae Kun Kwon. (2003). Effects of corner cuts and angles of attack on the Strouhal number of rectangular cylinders. Wind and Structures. 6(2). 127–140. 11 indexed citations

18.

Choi, Chang‐Koon & Dae Kun Kwon. (2001). The Characteristics of Strouhal Number of Rectangular Cylinders with Various Corner Cuts. Journal of Web Engineering. 89. 153–156.

19.

Choi, Chang‐Koon & Dae Kun Kwon. (2000). Determination of the Strouhal number based on the aerodynamic behavior of rectangular cylinders. Wind and Structures. 3(3). 209–220. 9 indexed citations

20.

Choi, Chang‐Koon & Dae Kun Kwon. (1998). Wind tunnel blockage effects on aerodynamic behavior of bluff body. Wind and Structures. 1(4). 351–364. 70 indexed citations

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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