Moon-Jin Kang
Impact in
- Applied Mathematics top 5%
- Navier-Stokes equation solutions
- Gas Dynamics and Kinetic Theory
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
-
- Navier-Stokes equation solutions 12
- Gas Dynamics and Kinetic Theory 9
-
- Computational Fluid Dynamics and Aerodynamics 7
- Co-authors
- Seung‐Yeal Ha (9 shared papers)Alexis Vasseur (6 shared papers)Alessio Figalli (1 shared paper)Bongsuk Kwon (3 shared papers)Eun-Hee Jeong (1 shared paper)Yi Wang (2 shared papers)Irene M. Gamba (1 shared paper)Kwansoo Chung (1 shared paper)
- Journals
- Journal de Mathématiques Pures et Appliquées (2 papers)Analysis and Applications (2 papers)Journal of Differential Equations (2 papers)Mathematical Models and Methods in Applied Sciences (2 papers)Analysis & PDE (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Moon-Jin Kang
33 papers receiving 389 citations
Peers
Comparison fields: 5 of 44
- Applied Mathematics 171
- Modeling and Simulation 56
- Mathematical Physics 90
- Statistical and Nonlinear Physics 77
- Computer Networks and Communications 136
Countries citing papers authored by Moon-Jin Kang
This map shows the geographic impact of Moon-Jin 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 Moon-Jin Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moon-Jin Kang more than expected).
Fields of papers citing papers by Moon-Jin Kang
This network shows the impact of papers produced by Moon-Jin 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 Moon-Jin Kang. The network helps show where Moon-Jin Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Moon-Jin Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 52 | |
| 2 | 2014 | 47 | |
| 3 | 2010 | 41 | |
| 4 | 2016 | 29 | |
| 5 | 2015 | 22 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2016 | 18 | |
| 9 | 2012 | 18 | |
| 10 | 2019 | 17 | |
| 11 | 2012 | 15 | |
| 12 | 2023 | 12 | |
| 13 | 2011 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2013 | 10 | |
| 17 | 2017 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2018 | 6 |
About Moon-Jin Kang
Moon-Jin Kang is a scholar working on Applied Mathematics, Computational Mechanics, Mechanical Engineering, Computer Networks and Communications and Modeling and Simulation, having authored 35 papers that have together received 421 indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (12 papers), Gas Dynamics and Kinetic Theory (9 papers), Advanced Welding Techniques Analysis (8 papers), Welding Techniques and Residual Stresses (7 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Mathematical Biology Tumor Growth (6 papers) and Slime Mold and Myxomycetes Research (4 papers). The work is most often cited by research in Applied Mathematics (171 citations), Modeling and Simulation (56 citations), Mathematical Physics (90 citations), Statistical and Nonlinear Physics (77 citations) and Computer Networks and Communications (136 citations). Moon-Jin Kang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Seung‐Yeal Ha, Alexis Vasseur, Alessio Figalli, Bongsuk Kwon, Eun-Hee Jeong, Yi Wang, Irene M. Gamba, Kwansoo Chung, Myoung‐Gyu Lee and Xin Yang. Their work appears in journals such as Journal de Mathématiques Pures et Appliquées, Analysis and Applications, Journal of Differential Equations, Mathematical Models and Methods in Applied Sciences and Analysis & PDE.
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.