Mu-Young Ahn

946 total citations
82 papers, 669 citations indexed

About

Mu-Young Ahn is a scholar working on Materials Chemistry, Aerospace Engineering and Radiation. According to data from OpenAlex, Mu-Young Ahn has authored 82 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Materials Chemistry, 41 papers in Aerospace Engineering and 12 papers in Radiation. Recurrent topics in Mu-Young Ahn's work include Fusion materials and technologies (65 papers), Nuclear Materials and Properties (43 papers) and Nuclear reactor physics and engineering (36 papers). Mu-Young Ahn is often cited by papers focused on Fusion materials and technologies (65 papers), Nuclear Materials and Properties (43 papers) and Nuclear reactor physics and engineering (36 papers). Mu-Young Ahn collaborates with scholars based in South Korea, United States and Japan. Mu-Young Ahn's co-authors include Seungyon Cho, Yi-Hyun Park, Youngmin Lee, Dong Won Lee, In-Keun Yu, Nam Zin Cho, Eunseok Lee, Dongwoo Sohn, Hyung Gon Jin and Alice Ying and has published in prestigious journals such as Journal of Nuclear Materials, Ceramics International and IEEE Transactions on Plasma Science.

In The Last Decade

Mu-Young Ahn

74 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mu-Young Ahn South Korea 16 534 243 92 87 82 82 669
Kaiming Feng China 18 565 1.1× 195 0.8× 113 1.2× 110 1.3× 131 1.6× 54 704
G. Dell’Orco Italy 12 326 0.6× 118 0.5× 77 0.8× 50 0.6× 79 1.0× 47 405
Dong Won Lee South Korea 16 541 1.0× 303 1.2× 36 0.4× 133 1.5× 100 1.2× 97 696
Heiko Neuberger Germany 16 641 1.2× 294 1.2× 65 0.7× 166 1.9× 120 1.5× 50 760
Laurent Forest France 11 415 0.8× 198 0.8× 21 0.2× 160 1.8× 62 0.8× 17 509
Daniele Martelli Italy 17 533 1.0× 660 2.7× 172 1.9× 121 1.4× 58 0.7× 77 831
E. Rajendra Kumar India 20 876 1.6× 335 1.4× 84 0.9× 597 6.9× 91 1.1× 54 1.2k
Hyung Gon Jin South Korea 10 213 0.4× 144 0.6× 59 0.6× 109 1.3× 31 0.4× 52 412
Frank Carré France 6 497 0.9× 215 0.9× 80 0.9× 288 3.3× 14 0.2× 26 668
Yi-Hyun Park South Korea 17 487 0.9× 107 0.4× 112 1.2× 312 3.6× 29 0.4× 58 752

Countries citing papers authored by Mu-Young Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Mu-Young Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mu-Young Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Mu-Young Ahn. A scholar is included among the top collaborators of Mu-Young Ahn 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 Mu-Young Ahn. Mu-Young Ahn 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.
Lee, Youngmin, et al.. (2025). A risk analysis for Helium Cooling System (HCS) of HCCP-TBS. Fusion Engineering and Design. 215. 114921–114921.
2.
Kim, Hyun, et al.. (2025). Design and beam dynamics of a 400 kW D + linear accelerator to generate fusion-like neutrons for breeding blanket tests in Korea. Nuclear Engineering and Technology. 57(9). 103646–103646. 1 indexed citations
3.
Park, Sangjin, Chanyoung Lee, Hyung Jin Shim, et al.. (2024). Evaluation of the impact of plasma operation scenarios on the fusion reactor blanket design using an integrated numerical plasma and neutronics analysis suite. Fusion Engineering and Design. 202. 114350–114350.
4.
Yun, Maroosol, et al.. (2024). Heat Transfer Characteristics of Impingement Jet for a Cooling System of Fusion Reactor Breeding Blanket. Transactions of the Korean Society of Mechanical Engineers B. 48(1). 27–32. 1 indexed citations
5.
Kim, Dohyun, et al.. (2024). Conceptual design study of the tritium breeding unit for verifying the long-term performance of the breeding blanket. Nuclear Engineering and Technology. 57(4). 103292–103292.
6.
Ahn, Mu-Young, et al.. (2024). Preliminary design and analysis activities of the deuteron accelerator target for tritium breeding unit test. Fusion Engineering and Design. 203. 114428–114428. 2 indexed citations
7.
Ahn, Mu-Young, et al.. (2023). Neutronics analysis for conceptual design of target system based on a deuteron accelerator-driven fusion neutron source. Fusion Engineering and Design. 199. 114103–114103. 1 indexed citations
8.
Lee, Jong-Hak, et al.. (2023). Electromagnetic load evaluation of K-DEMO divertor for MD and VDE plasma disruption scenarios. Fusion Engineering and Design. 192. 113569–113569. 1 indexed citations
9.
Ahn, Mu-Young, et al.. (2023). Dose rate analysis for a pre-conceptual design of the high energy beam transport section in the IBTF. Fusion Engineering and Design. 189. 113449–113449. 3 indexed citations
10.
Park, Seong Dae, Dong Won Lee, Hyung Gon Jin, et al.. (2020). Conceptual design and analysis of the HCCR breeder blanket for the K-DEMO. Fusion Engineering and Design. 153. 111513–111513. 9 indexed citations
11.
Lee, Youngmin, et al.. (2020). Numerical investigation of purge gas flow through binary-sized pebble beds using discrete element method and computational fluid dynamics. Fusion Engineering and Design. 158. 111704–111704. 7 indexed citations
12.
Park, Yi-Hyun, et al.. (2020). Effects of sintering conditions on the microstructure of Li2TiO3 tritium breeding materials. Fusion Engineering and Design. 156. 111727–111727. 15 indexed citations
13.
14.
Ahn, Mu-Young, et al.. (2019). A DEM-CFD study of the effects of size distributions and packing fractions of pebbles on purge gas flow through pebble beds. Fusion Engineering and Design. 143. 24–34. 19 indexed citations
15.
Ahn, Mu-Young, et al.. (2019). Hydrogen adsorption performance for large-scale cryogenic molecular sieve bed. Fusion Engineering and Design. 146. 1863–1867. 14 indexed citations
16.
Lee, Youngmin, et al.. (2019). Numerical investigation of mechanical and thermal characteristics of binary-sized pebble beds using discrete element method. Fusion Engineering and Design. 146. 2285–2291. 15 indexed citations
17.
Sohn, Dongwoo, Youngmin Lee, Mu-Young Ahn, Yi-Hyun Park, & Seungyon Cho. (2018). Numerical prediction of packing behavior and thermal conductivity of pebble beds according to pebble size distributions and friction coefficients. Fusion Engineering and Design. 137. 182–190. 25 indexed citations
18.
Park, Yi-Hyun, et al.. (2012). Fabrication of Li4SiO4 Pebbles Using Slurry Droplet Wetting Method for Solid Breeding Material. Fusion Science & Technology. 62(1). 185–189. 7 indexed citations
19.
Cho, Seungyon, et al.. (2008). Current status on the detailed design and development of fabrication techniques for the ITER blanket shield block in Korea. Fusion Engineering and Design. 83(7-9). 1181–1187. 5 indexed citations
20.
Jeong, Dushin, et al.. (2004). A Case of Cerebral Infarction Associated with Giant Cell Arteritis.. Journal of the Korean Neurological Association. 22(1). 59–62.

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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