Min-Gu Yoo

470 total citations
25 papers, 124 citations indexed

About

Min-Gu Yoo is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Aerospace Engineering. According to data from OpenAlex, Min-Gu Yoo has authored 25 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nuclear and High Energy Physics, 14 papers in Astronomy and Astrophysics and 9 papers in Aerospace Engineering. Recurrent topics in Min-Gu Yoo's work include Magnetic confinement fusion research (24 papers), Ionosphere and magnetosphere dynamics (14 papers) and Particle accelerators and beam dynamics (8 papers). Min-Gu Yoo is often cited by papers focused on Magnetic confinement fusion research (24 papers), Ionosphere and magnetosphere dynamics (14 papers) and Particle accelerators and beam dynamics (8 papers). Min-Gu Yoo collaborates with scholars based in South Korea, United States and United Kingdom. Min-Gu Yoo's co-authors include Yong-Su Na, Jeongwon Lee, Young-Gi Kim, Jayhyun Kim, Y. S. Hwang, Edward A. Startsev, J. Chen, Weixing Wang, S. Ethier and T.S. Hahm and has published in prestigious journals such as Nature Communications, Computer Physics Communications and Review of Scientific Instruments.

In The Last Decade

Min-Gu Yoo

21 papers receiving 113 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Min-Gu Yoo South Korea	8	109	44	40	37	26	25	124
Yinxian Jie China	7	119 1.1×	39 0.9×	44 1.1×	29 0.8×	54 2.1×	32	147
G. Satheeswaran Germany	8	138 1.3×	56 1.3×	44 1.1×	40 1.1×	52 2.0×	20	163
M. Vallar Switzerland	8	144 1.3×	58 1.3×	56 1.4×	25 0.7×	57 2.2×	32	169
J. F. Chang China	7	95 0.9×	40 0.9×	48 1.2×	14 0.4×	25 1.0×	12	108
H. Funaba Japan	7	117 1.1×	39 0.9×	33 0.8×	20 0.5×	65 2.5×	17	138
D. Behne United States	4	107 1.0×	41 0.9×	39 1.0×	25 0.7×	44 1.7×	10	136
C.N. Gupta India	7	120 1.1×	54 1.2×	23 0.6×	25 0.7×	50 1.9×	16	127
T. Aniel France	7	141 1.3×	74 1.7×	51 1.3×	34 0.9×	38 1.5×	14	160
I. N. Bogatu United States	7	151 1.4×	73 1.7×	55 1.4×	27 0.7×	34 1.3×	17	161
M. Peterka Czechia	8	166 1.5×	63 1.4×	58 1.4×	32 0.9×	65 2.5×	32	182

Countries citing papers authored by Min-Gu Yoo

Since Specialization

Citations

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

Fields of papers citing papers by Min-Gu Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Gu Yoo. 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 Min-Gu Yoo. The network helps show where Min-Gu Yoo may publish in the future.

Co-authorship network of co-authors of Min-Gu Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Min-Gu Yoo. A scholar is included among the top collaborators of Min-Gu Yoo 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 Min-Gu Yoo. Min-Gu Yoo 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

Yoo, Min-Gu, et al.. (2025). Directional finite difference method for directly solving 3D gyrokinetic field equations with enhanced accuracy. Computer Physics Communications. 312. 109597–109597.

Yoo, Min-Gu, et al.. (2025). Modelling of electron cyclotron energy gain in the tokamak pre-ionization phase. Nuclear Fusion. 65(5). 56038–56038.

Yu, Guanying, Yilun Zhu, G. Krämer, et al.. (2024). Modeling the electron cyclotron emission radiation signature from suprathermal electrons in a tokamak. Review of Scientific Instruments. 95(7). 6 indexed citations

Yang, J., F. Glass, Mariah J. Austin, et al.. (2024). Toroidal injection angle dependence of EC assisted plasma initiation at DIII-D. Nuclear Fusion. 64(12). 126065–126065. 1 indexed citations

Yu, Guanying, G. Krämer, Yilun Zhu, et al.. (2024). Modelling of the electron cyclotron emission burst from a laboratory tokamak plasma with loss-cone maser instability. Journal of Plasma Physics. 90(6). 4 indexed citations

Wang, Weixing, Min-Gu Yoo, Edward A. Startsev, et al.. (2024). Plasma self-driven current in tokamaks with magnetic islands. Nuclear Fusion. 65(1). 16008–16008.

Startsev, Edward A., Weixing Wang, Min-Gu Yoo, J. Chen, & S. Ethier. (2024). Verification of electromagnetic simulation capabilities in global gyrokinetic particle-in-cell code GTS. Physics of Plasmas. 31(11).

Yoo, Min-Gu, et al.. (2022). Understanding the electromagnetic topology during the ohmic breakdown in tokamaks considering self-generated electric fields. Plasma Physics and Controlled Fusion. 64(5). 54008–54008. 3 indexed citations

Yoo, Min-Gu, Weixing Wang, Edward A. Startsev, et al.. (2021). Collisionless plasma transport mechanisms in stochastic open magnetic field lines in tokamaks. Nuclear Fusion. 61(12). 126036–126036. 9 indexed citations

10.

Yoo, Min-Gu & Yong-Su Na. (2019). Comment on ‘Numerical modeling of tokamak breakdown phase driven by pure Ohmic heating under ideal conditions’. Nuclear Fusion. 59(8). 88001–88001. 1 indexed citations

11.

Wang, Weixing, T.S. Hahm, Edward A. Startsev, et al.. (2019). Self-driven current generation in turbulent fusion plasmas. Nuclear Fusion. 59(8). 84002–84002. 7 indexed citations

12.

Yoo, Min-Gu, Jeongwon Lee, Young-Gi Kim, et al.. (2018). Evidence of a turbulent ExB mixing avalanche mechanism of gas breakdown in strongly magnetized systems. Nature Communications. 9(1). 3523–3523. 17 indexed citations

13.

Lee, Jeongwon, Seong‐Cheol Kim, Jong Yoon Park, et al.. (2018). Development of equilibrium fitting code using finite element method in versatile experiment spherical torus. Fusion Engineering and Design. 131. 141–149. 4 indexed citations

14.

Yoo, Min-Gu, Jeongwon Lee, Young-Gi Kim, & Yong-Su Na. (2017). Development of 2D implicit particle simulation code for ohmic breakdown physics in a tokamak. Computer Physics Communications. 221. 143–159. 7 indexed citations

15.

Kim, Young-Gi, et al.. (2017). Calibration of Thomson scattering system on VEST. Journal of Instrumentation. 12(12). C12013–C12013. 3 indexed citations

16.

Lee, Jeongwon, Jayhyun Kim, YoungHwa An, et al.. (2017). Study on ECH-assisted start-up using trapped particle configuration in KSTAR and application to ITER. Nuclear Fusion. 57(12). 126033–126033. 13 indexed citations

17.

Na, Yong-Su, Kyungjin Kim, Hwa Jung Kim, et al.. (2016). Reply to ‘Comment on “Numerical study on neoclassical tearing mode stabilization via minimum seeking method for the island width growth rate”’. Nuclear Fusion. 56(3). 38002–38002. 2 indexed citations

18.

Kim, Jayhyun, Hyunsun Han, Min-Gu Yoo, et al.. (2016). Suppression of edge localized mode crashes by multi-spectral non-axisymmetric fields in KSTAR. Nuclear Fusion. 57(2). 22001–22001. 9 indexed citations

19.

Lee, Jeongwon, YoungHwa An, J. Yang, et al.. (2014). Equilibrium analysis using finite element method of ohmic plasmas in VEST. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

20.

Yoo, Min-Gu, et al.. (2011). The effect of electron cyclotron resonance heating on breakdown for start-up of a tokamak. 1–1. 1 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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