Moo‐Young Huh

2.7k total citations
79 papers, 2.3k citations indexed

About

Moo‐Young Huh is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Moo‐Young Huh has authored 79 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Mechanical Engineering, 50 papers in Materials Chemistry and 32 papers in Mechanics of Materials. Recurrent topics in Moo‐Young Huh's work include Microstructure and mechanical properties (30 papers), Metallurgy and Material Forming (28 papers) and Microstructure and Mechanical Properties of Steels (28 papers). Moo‐Young Huh is often cited by papers focused on Microstructure and mechanical properties (30 papers), Metallurgy and Material Forming (28 papers) and Microstructure and Mechanical Properties of Steels (28 papers). Moo‐Young Huh collaborates with scholars based in South Korea, Germany and United States. Moo‐Young Huh's co-authors include Olaf Engler, Jae‐Chul Lee, Seok‐Woo Lee, C.N. Tomé, Éric Fleury, Hun-Sik Kang, Seung Yong Cho, Jae-Pyoung Ahn, Dierk Raabe and Jae-Hyeok Shim and has published in prestigious journals such as Acta Materialia, Scientific Reports and Journal of the American Ceramic Society.

In The Last Decade

Moo‐Young Huh

78 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moo‐Young Huh South Korea 26 1.9k 1.4k 793 411 318 79 2.3k
Dong Nyung Lee South Korea 27 1.5k 0.8× 1.5k 1.0× 963 1.2× 412 1.0× 365 1.1× 106 2.4k
H.R.Z. Sandim Brazil 31 1.9k 1.0× 2.0k 1.4× 754 1.0× 484 1.2× 220 0.7× 138 2.9k
Yoshikazu Todaka Japan 30 2.4k 1.3× 2.5k 1.8× 975 1.2× 222 0.5× 140 0.4× 172 3.2k
Yulia Ivanisenko Germany 27 1.9k 1.0× 2.0k 1.4× 548 0.7× 285 0.7× 169 0.5× 78 2.5k
J. M. Rigsbee United States 22 1.3k 0.7× 1.1k 0.7× 425 0.5× 309 0.8× 200 0.6× 76 1.8k
Dhriti Bhattacharyya Australia 29 1.9k 1.0× 2.4k 1.7× 997 1.3× 274 0.7× 92 0.3× 73 2.9k
Guillaume Géandier France 25 1.4k 0.7× 1.3k 0.9× 468 0.6× 155 0.4× 214 0.7× 113 1.8k
Yoritoshi Minamino Japan 21 2.3k 1.2× 1.7k 1.2× 529 0.7× 386 0.9× 145 0.5× 133 2.5k
A.K. Singh India 28 1.6k 0.8× 1.6k 1.1× 594 0.7× 234 0.6× 207 0.7× 134 2.1k
David C. Van Aken United States 23 1.3k 0.7× 1.1k 0.7× 372 0.5× 238 0.6× 206 0.6× 83 1.6k

Countries citing papers authored by Moo‐Young Huh

Since Specialization
Citations

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

Fields of papers citing papers by Moo‐Young Huh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moo‐Young Huh. 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 Moo‐Young Huh. The network helps show where Moo‐Young Huh may publish in the future.

Co-authorship network of co-authors of Moo‐Young Huh

This figure shows the co-authorship network connecting the top 25 collaborators of Moo‐Young Huh. A scholar is included among the top collaborators of Moo‐Young Huh 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 Moo‐Young Huh. Moo‐Young Huh 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.
Kim, Song‐Yi, Ryan Ott, T. A. Lograsso, et al.. (2015). Imprinting bulk amorphous alloy at room temperature. Scientific Reports. 5(1). 16540–16540. 10 indexed citations
2.
Huh, Moo‐Young, et al.. (2015). Effect of hot band grain size on development of textures and magnetic properties in 2.0% Si non-oriented electrical steel sheet. Journal of Magnetism and Magnetic Materials. 396. 53–64. 69 indexed citations
3.
Huh, Moo‐Young, et al.. (2013). Quantification of Ridging in Ferritic Stainless Steel Sheets by Electron Backscattered Diffraction R-Value Maps. Microscopy and Microanalysis. 19(S5). 17–20. 7 indexed citations
4.
Kwon, Do Hoon, et al.. (2011). Wear behaviors of bulk metallic glass alloy and hardened steel having the same hardness value. Journal of Alloys and Compounds. 536. S99–S102. 25 indexed citations
5.
Huh, Hoon, et al.. (2010). Correlation of microscopic structures to the strain rate hardening of SPCC steel. International Journal of Mechanical Sciences. 52(5). 745–753. 21 indexed citations
6.
Kang, Hun-Sik, et al.. (2008). Effect of Lubrication during Hot Rolling on the Evolution of Through‐Thickness Textures in 18%Cr Ferritic Stainless Steel Sheet. steel research international. 79(6). 489–496. 18 indexed citations
7.
Kang, Hun-Sik, et al.. (2007). Effect of strain states during cold rolling on the recrystallized grain size in an aluminum alloy. Scripta Materialia. 58(6). 500–503. 51 indexed citations
8.
Huh, Moo‐Young, et al.. (2006). Deformation behavior of amorphous composites containing crystalline nickel in the supercooled liquid region. Materials Science and Engineering A. 449-451. 916–919. 9 indexed citations
9.
Lee, Jae‐Chul, et al.. (2006). Finite element method analysis on the stress and strain states in amorphous composites containing crystalline copper during compression. Materials Science and Engineering A. 449-451. 704–708. 6 indexed citations
10.
Kim, H.J., et al.. (2006). Mechanical behavior of Cu54Ni6Zr22Ti18 bulk amorphous alloy during multi-pass warm rolling. Materials Science and Engineering A. 449-451. 929–933. 12 indexed citations
11.
Huh, Moo‐Young, et al.. (2005). Effect of Through‐Thickness Macro and Micro‐Texture Gradients on Ridging of 17%Cr Ferritic Stainless Steel Sheet. steel research international. 76(11). 797–806. 55 indexed citations
12.
Ahn, Jae‐Pyoung, et al.. (2005). Direct observation of cobalt precipitates in nanocrystalline Cu–Co powder synthesised by laser ablation. Powder Metallurgy. 48(4). 338–342. 1 indexed citations
13.
14.
Ahn, Jae-Pyoung, et al.. (2004). Microstructure and gas-sensing properties of thick film sensor using nanophase SnO2 powder. Sensors and Actuators B Chemical. 99(1). 18–24. 34 indexed citations
15.
Shin, Eunjoo, et al.. (2002). Quantitative phase analysis of strongly textured alloy mixtures using neutron diffraction. Journal of Applied Crystallography. 35(5). 571–576. 2 indexed citations
16.
Engler, Olaf, et al.. (2001). Formation of {111} fibre texture in recrystallised aluminium sheet. Materials Science and Technology. 17(1). 75–86. 62 indexed citations
17.
Huh, Moo‐Young, Hyunchul Kim, & Olaf Engler. (2000). Influence of a solution treatment on the evolution of through‐thickness texture gradients in dry cold rolled and recrystallized low carbon steel. Steel Research. 71(6-7). 239–248. 9 indexed citations
18.
Huh, Moo‐Young, Hyun-Chul Kim, Jongjin Park, & Olaf Engler. (1999). Evolution of through-thickness texture gradients in various steel sheets. Metals and Materials. 5(5). 437–443. 19 indexed citations
19.
Ahn, Jae‐Pyoung, et al.. (1997). Effect of Green Density on the Subsequent Densification and Grain Growth of Ultrafine SnO2 Powder during Isochronal Sintering. Journal of the American Ceramic Society. 80(8). 2165–2167. 26 indexed citations
20.
Ahn, Jae-Pyoung, et al.. (1997). Effect of green density on subsequent densification and grain growth of nanophase SnO2 powder during isothermal sintering. Nanostructured Materials. 8(5). 637–643. 15 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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