Seongwon Kang

1.4k total citations
60 papers, 1.1k citations indexed

About

Seongwon Kang is a scholar working on Computational Mechanics, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Seongwon Kang has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computational Mechanics, 18 papers in Aerospace Engineering and 14 papers in Biomedical Engineering. Recurrent topics in Seongwon Kang's work include Combustion and flame dynamics (22 papers), Fluid Dynamics and Turbulent Flows (14 papers) and Advanced Combustion Engine Technologies (12 papers). Seongwon Kang is often cited by papers focused on Combustion and flame dynamics (22 papers), Fluid Dynamics and Turbulent Flows (14 papers) and Advanced Combustion Engine Technologies (12 papers). Seongwon Kang collaborates with scholars based in South Korea, Germany and United States. Seongwon Kang's co-authors include Heinz Pitsch, Nahmkeon Hur, Gianluca Iaccarino, Frank Ham, Parviz Moin, R. P. Roy, Mathis Bode, Haecheon Choi, Sang Hyuk Lee and Hyorim Lee and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and International Journal of Hydrogen Energy.

In The Last Decade

Seongwon Kang

56 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seongwon Kang South Korea 21 790 397 241 234 213 60 1.1k
Vasudevan Raghavan India 21 778 1.0× 415 1.0× 418 1.7× 395 1.7× 198 0.9× 139 1.5k
E. H. Chui Canada 12 1.5k 1.8× 219 0.6× 482 2.0× 183 0.8× 250 1.2× 19 1.8k
Marlène Sanjosé Canada 20 1.2k 1.5× 1.1k 2.8× 236 1.0× 178 0.8× 103 0.5× 95 1.4k
Vinicio Magi Italy 21 838 1.1× 332 0.8× 249 1.0× 675 2.9× 109 0.5× 89 1.2k
Farzad Bazdidi–Tehrani Iran 19 586 0.7× 350 0.9× 209 0.9× 105 0.4× 419 2.0× 76 966
Xingsi Han China 19 1.1k 1.3× 509 1.3× 52 0.2× 422 1.8× 238 1.1× 77 1.3k
Ashoke De India 19 1.1k 1.3× 476 1.2× 111 0.5× 376 1.6× 79 0.4× 108 1.2k
Dongliang Sun China 21 773 1.0× 231 0.6× 236 1.0× 48 0.2× 583 2.7× 66 1.2k
Bernardo Fortunato Italy 20 305 0.4× 299 0.8× 166 0.7× 200 0.9× 707 3.3× 96 1.4k
İbrahim Yavuz United States 8 623 0.8× 283 0.7× 44 0.2× 220 0.9× 166 0.8× 37 854

Countries citing papers authored by Seongwon Kang

Since Specialization
Citations

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

Fields of papers citing papers by Seongwon Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongwon Kang

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

All Works

20 of 20 papers shown
1.
Won, Jong Chan, et al.. (2024). An analysis on Pigford model for a liquid film developing over a rotating disk. Journal of Mechanical Science and Technology. 38(3). 1305–1316. 2 indexed citations
2.
Bode, Mathis, et al.. (2020). Experiments and Large-Eddy Simulation for a Flowbench Configuration of the Darmstadt Optical Engine Geometry. SAE International Journal of Engines. 13(4). 487–502. 2 indexed citations
3.
Lee, Wook, et al.. (2019). On a momentum interpolation scheme for collocated meshes with improved discrete kinetic energy conservation. Journal of Mechanical Science and Technology. 33(6). 2761–2768. 2 indexed citations
4.
Attili, Antonio, et al.. (2018). Numerical study of coal particle ignition in air and oxy-atmosphere. Proceedings of the Combustion Institute. 37(3). 2867–2874. 46 indexed citations
5.
Bode, Mathis, et al.. (2017). LES of n-Dodecane Spray Combustion Using a Multiple Representative Interactive Flamelets Model. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 72(5). 29–29. 28 indexed citations
6.
7.
Hong, Sungmin, Wook Lee, Seongwon Kang, & Han Ho Song. (2015). Analysis of turbulent diffusion flames with a hybrid fuel of methane and hydrogen in high pressure and temperature conditions using LES approach. International Journal of Hydrogen Energy. 40(35). 12034–12046. 10 indexed citations
8.
Kim, Jung-Woo, et al.. (2015). Large eddy simulation of hydrogen dispersion from leakage in a nuclear containment model. International Journal of Hydrogen Energy. 40(35). 11762–11770. 22 indexed citations
9.
Hur, Nahmkeon, et al.. (2014). An efficient method to predict the heat transfer performance of a louver fin radiator in an automotive power system. Journal of Mechanical Science and Technology. 28(1). 145–155. 22 indexed citations
10.
Hur, Nahmkeon, et al.. (2013). A CFD simulation of hydrogen dispersion for the hydrogen leakage from a fuel cell vehicle in an underground parking garage. International Journal of Hydrogen Energy. 38(19). 8084–8091. 113 indexed citations
11.
Kang, Seongwon, Heinz Pitsch, & Nahmkeon Hur. (2013). On a robust ALE method with discrete primary and secondary conservation. Journal of Computational Physics. 254. 1–7. 2 indexed citations
12.
Lee, Sang‐Hyuk, Seongwon Kang, Nahmkeon Hur, & Seul‐Ki Jeong. (2012). A fluid-structure interaction analysis on hemodynamics in carotid artery based on patient-specific clinical data. Journal of Mechanical Science and Technology. 26(12). 3821–3831. 30 indexed citations
13.
Kang, Seongwon, Jung‐Hoon Chun, Young-Hyun Jun, & Kee-Won Kwon. (2011). A study on accelerated built-in self test of multi-Gb/s high speed interfaces. 39. 1–4. 1 indexed citations
14.
Lee, Sang Hyuk, Nahmkeon Hur, & Seongwon Kang. (2011). A numerical analysis of drop impact on liquid film by using a level set method. Journal of Mechanical Science and Technology. 25(10). 2567–2572. 56 indexed citations
15.
Kim, Byung‐Su, Jae-chun Lee, Jinki Jeong, Seongwon Kang, & Kwang-Ho Lee. (2009). A High Temperature Process for Extracting Valuable Metals from Waste Electric and Electronic Scraps (WEES). MATERIALS TRANSACTIONS. 50(6). 1558–1562. 11 indexed citations
16.
Kang, Seongwon. (2008). An improved immersed boundary method for computation of turbulent flows with heat transfer. PhDT. 13 indexed citations
17.
Kang, Seongwon, Gianluca Iaccarino, Parviz Moin, & Frank Ham. (2005). Predicting Pressure Fluctuations in Large Eddy Simulations Using the Immersed Boundary Method. Bulletin of the American Physical Society. 58. 1 indexed citations
18.
Xu, Guoqiang, et al.. (2001). Pressure Field and Main-Stream Gas Ingestion in a Rotor-Stator Disk Cavity. Volume 3: Heat Transfer; Electric Power; Industrial and Cogeneration. 20 indexed citations
19.
Lee, Hyorim & Seongwon Kang. (2000). Flow Characteristics of Transitional Boundary Layers on an Airfoil in Wakes. Journal of Fluids Engineering. 122(3). 522–532. 29 indexed citations
20.
Kang, Seongwon. (1991). A model study of heat transfer and fluid flow in slag-cleaning furnaces. 2 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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