In‐Seuck Jeung

2.1k citations
105 papers · 1.6k indexed · h-index 22
Topics
Computational Fluid Dynamics and Aerodynamics (65 papers)Combustion and flame dynamics (42 papers)Gas Dynamics and Kinetic Theory (33 papers)
Partner nations
South KoreaJapanIran

In The Last Decade

In‐Seuck Jeung

95 papers receiving 1.6k citations

Peers

In‐Seuck Jeung
Comparison fields: 5 of 55
  • Aerospace Engineering 1.2k
  • Computational Mechanics 1.2k
  • Safety, Risk, Reliability and Quality 312
  • Mechanics of Materials 268
  • Fluid Flow and Transfer Processes 265
Replace G. J. Sharpe with:
G. J. Sharpe United Kingdom
Л.И. Стамов Russia
Jeong‐Yeol Choi South Korea
V.V. Tyurenkova Russia
Jianhan Liang China
Lars-Erik Eriksson Sweden
Corin Segal United States
J. P. Sislian Canada
Nobuyuki Tsuboi Japan
Ryan W. Houim United States
In‐Seuck Jeung relative to G. J. Sharpe United Kingdom G. J. Sharpe's profile →
Citations per field
00.5×2.8×
G. J. Sharpe · 1×
Citations per year

Countries citing papers authored by In‐Seuck Jeung

Since Specialization
Citations

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

Fields of papers citing papers by In‐Seuck Jeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In‐Seuck Jeung. 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 In‐Seuck Jeung. The network helps show where In‐Seuck Jeung may publish in the future.

Co-authorship network of co-authors of In‐Seuck Jeung

This figure shows the co-authorship network connecting the top 25 collaborators of In‐Seuck Jeung. A scholar is included among the top collaborators of In‐Seuck Jeung 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 In‐Seuck Jeung. In‐Seuck Jeung 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
#WorkIndexed citations
1 4
2 8
3 7
4 25
5 5
6 27
7 3
8 4
9 68
10
A Computational Study of Flowfield for a Vent Mixer in Supersonic Flow
0
11 57
12
Numerical Analysis of Dynamic Combustion in HyShot Scramjet Combustor with a Transverse Fuel Injection
1
13 3
14 3
15 11
16 90
17 0
18 0
19
Nondimensional Analysis of Periodically Unstable Shock-Induced Combustion
1
20 7

About In‐Seuck Jeung

In‐Seuck Jeung is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering, having authored 105 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (65 papers), Combustion and flame dynamics (42 papers) and Gas Dynamics and Kinetic Theory (33 papers). The work is most often cited by research in Computational Mechanics (1.2k citations), Aerospace Engineering (1.2k citations) and Fluid Flow and Transfer Processes (265 citations). In‐Seuck Jeung has collaborated with scholars based in South Korea, Japan and Iran. Frequent co-authors include Jeong‐Yeol Choi, Youngbin Yoon, Hyoung Jin Lee, Bok Jik Lee, Sei-Hwan Kim, Sung-Don Kim, Vigor Yang, Fuhua Ma, Edward J. Shin and Bernard Parent. Their work appears in journals such as Journal of Computational Physics, International Journal of Hydrogen Energy and Energy.

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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