Young-Seok Kang

432 total citations
48 papers, 333 citations indexed

About

Young-Seok Kang is a scholar working on Aerospace Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Young-Seok Kang has authored 48 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Aerospace Engineering, 26 papers in Mechanical Engineering and 11 papers in Computational Mechanics. Recurrent topics in Young-Seok Kang's work include Turbomachinery Performance and Optimization (26 papers), Refrigeration and Air Conditioning Technologies (13 papers) and Heat Transfer Mechanisms (10 papers). Young-Seok Kang is often cited by papers focused on Turbomachinery Performance and Optimization (26 papers), Refrigeration and Air Conditioning Technologies (13 papers) and Heat Transfer Mechanisms (10 papers). Young-Seok Kang collaborates with scholars based in South Korea and United States. Young-Seok Kang's co-authors include Yong-Chan Bae, Paul S. Ho, Hyungki Shin, Dong‐Ho Lee, Junhyun Cho, Ho-Sang Ra, Ho‐Sun Jang, Kyung‐Sool Kwon, Young-Jin Baik and Jaesung Huh and has published in prestigious journals such as Japanese Journal of Applied Physics, Journal of Fluids Engineering and European Journal of Radiology.

In The Last Decade

Young-Seok Kang

41 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young-Seok Kang South Korea 10 118 101 83 60 42 48 333
Hiroshi MUKAI Japan 10 45 0.4× 42 0.4× 63 0.8× 56 0.9× 41 1.0× 54 309
Fusong Yuan China 14 78 0.7× 33 0.3× 33 0.4× 43 0.7× 11 0.3× 55 468
Parimal J. Patel United States 10 81 0.7× 21 0.2× 12 0.1× 9 0.1× 95 2.3× 20 406
A. Gebhardt Germany 11 56 0.5× 26 0.3× 79 1.0× 63 1.1× 15 0.4× 19 370
Shengchang Zhang China 11 193 1.6× 174 1.7× 21 0.3× 148 2.5× 19 0.5× 18 425
Christopher Cameron United States 10 128 1.1× 102 1.0× 77 0.9× 85 1.4× 11 0.3× 23 810
Yuta Nakanishi Japan 13 38 0.3× 112 1.1× 156 1.9× 91 1.5× 19 0.5× 49 410
Florian Klämpfl Germany 15 141 1.2× 11 0.1× 33 0.4× 102 1.7× 163 3.9× 56 648
Anindya Lahiri United Kingdom 13 198 1.7× 22 0.2× 166 2.0× 67 1.1× 30 0.7× 32 521
Nicholas Baker United States 13 30 0.3× 98 1.0× 46 0.6× 99 1.6× 18 0.4× 44 496

Countries citing papers authored by Young-Seok Kang

Since Specialization
Citations

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

Fields of papers citing papers by Young-Seok Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young-Seok Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Seok Kang. A scholar is included among the top collaborators of Young-Seok 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 Young-Seok Kang. Young-Seok 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.
2.
Chung, Heeyoon, Dong-Ho Rhee, & Young-Seok Kang. (2021). Simulation of Aero-propulsion Micro Gas Turbine Engine Using CFD. The KSFM Journal of Fluid Machinery. 24(1). 5–12. 1 indexed citations
3.
Kwak, Jae Su, et al.. (2020). The Effect of Roughness Distribution inside Cylindrical Hole on Film Cooling Effectiveness. The KSFM Journal of Fluid Machinery. 23(2). 30–34.
4.
Cho, Junhyun, et al.. (2017). Research on Development of Turbo-generator with Partial Admission Nozzle for Supercritical CO 2 Power Generation. Transactions of the Korean Society of Mechanical Engineers B. 41(4). 293–301.
5.
Shin, Hyungki, Junhyun Cho, Young-Jin Baik, et al.. (2017). Partial Admission, Axial Impulse Type Turbine Design and Partial Admission Radial Turbine Test for SCO2 Cycle. Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy. 14 indexed citations
6.
Kang, Young-Seok, et al.. (2014). A Study on the Numerical Analysis Methodology for Thermal and Flow Characteristics of High Pressure Turbine in Aircraft Gas Turbine Engine. The KSFM Journal of Fluid Machinery. 17(3). 46–51. 6 indexed citations
7.
Kang, Young-Seok, et al.. (2013). Aerodynamic Optimization of Axial Turbine Tip Cavity With Approximation Model. 4 indexed citations
8.
Kang, Young-Seok, et al.. (2012). Experimental Research on Aerodynamic Instabilities in a Multi Stage Transonic Axial Compressor. Journal of Fluid Machinery. 15(2). 12–19. 1 indexed citations
9.
Lee, Dong‐Ho, et al.. (2011). Reliability-based design optimization of axial compressor using uncertainty model for stall margin. Journal of Mechanical Science and Technology. 25(3). 731–740. 17 indexed citations
10.
Kang, Young-Seok, et al.. (2008). Prediction of flow field in an axial compressor with a non-uniform tip clearance at the design and off-design conditions. Journal of Fluid Machinery. 11(6). 46–53.
11.
Kang, Young-Seok, et al.. (2006). Numerical predictions of roughness effects on the performance degradation of an axial-turbine stage. Journal of Mechanical Science and Technology. 20(7). 1077–1088. 3 indexed citations
12.
Bae, Yong-Chan, et al.. (2006). Analysis of the Postoperative Outcome in 405 Cases of Orbital Fracture Using 2 Synthetic Orbital Implants. Annals of Plastic Surgery. 56(3). 263–267. 74 indexed citations
13.
Kim, Sung‐Ho, et al.. (2005). RT-PCR of Up-Regulated Factors in Abnormally Proliferated Vascular Endothelial Cells by 1, 2-Dimethylhydrazine.. Archives of Plastic Surgery. 32(6). 689–698. 1 indexed citations
14.
Bae, Yong-Chan, et al.. (2005). A Report of 12 Cases of Basal Cell Carcinoma Arising in Lesions Following Laser Therapy. Annals of Plastic Surgery. 54(4). 384–386. 3 indexed citations
15.
Kang, Young-Seok, et al.. (2005). A Simple and Quantitative Method for Three-Dimensional Measurement of Normal Smiles. Annals of Plastic Surgery. 54(4). 379–383. 14 indexed citations
16.
Lee, Jung Sub, Seong‐Jang Kim, In‐Ju Kim, et al.. (2005). Characterization of breast lesion using double phase Tc-99m Tetrofosmin scintimammography: Comparison of visual and quantitative analyses. European Journal of Radiology. 57(1). 76–80. 2 indexed citations
17.
Kim, Hyun Ok, et al.. (2004). Gene Expression Profiling of 1,2-Dimethylhydrazine-Stimulated Human Umbilical Vein Endothelial Cells. 858–864. 1 indexed citations
18.
Kim, Yonggoo, et al.. (2004). Accurate Extraction of Crosstalk Induced Dynamic Variation of Coupling Capacitance for Interconnect Lines of CMOSFETs. JSTS Journal of Semiconductor Technology and Science. 4(2). 88–93. 3 indexed citations
19.
Kang, Young-Seok, et al.. (2003). Numerical Study on Blade Roughness Effect on the performance of turbomachines. 6 indexed citations
20.
Oh, Chang‐Keun, Jin Lee, Young-Seok Kang, et al.. (2003). Treatment of Atrophies Secondary to Trilinear Scleroderma En Coup de Sabre by Autologous Tissue Cocktail Injection. Dermatologic Surgery. 29(10). 1073–1075. 21 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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