Jun‐Yun Kang

1.8k total citations
64 papers, 1.5k citations indexed

About

Jun‐Yun Kang is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Jun‐Yun Kang has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Mechanical Engineering, 44 papers in Materials Chemistry and 15 papers in Mechanics of Materials. Recurrent topics in Jun‐Yun Kang's work include Microstructure and Mechanical Properties of Steels (35 papers), Metal Alloys Wear and Properties (20 papers) and Hydrogen embrittlement and corrosion behaviors in metals (15 papers). Jun‐Yun Kang is often cited by papers focused on Microstructure and Mechanical Properties of Steels (35 papers), Metal Alloys Wear and Properties (20 papers) and Hydrogen embrittlement and corrosion behaviors in metals (15 papers). Jun‐Yun Kang collaborates with scholars based in South Korea, Australia and United States. Jun‐Yun Kang's co-authors include Heon‐Young Ha, Tae‐Ho Lee, Seong‐Jun Park, Joonoh Moon, Chang Dong Yim, Bong Sun You, Heung Nam Han, Chang‐Hoon Lee, Jie Yang and Dong‐Woo Suh and has published in prestigious journals such as Chemistry of Materials, Acta Materialia and Scientific Reports.

In The Last Decade

Jun‐Yun Kang

59 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Yun Kang South Korea 24 1.3k 982 386 320 266 64 1.5k
Bo Gao China 23 1.6k 1.2× 1.1k 1.1× 442 1.1× 376 1.2× 235 0.9× 75 1.9k
Hiromoto Kitahara Japan 15 1.5k 1.2× 1.0k 1.0× 436 1.1× 334 1.0× 363 1.4× 67 1.6k
J. Swaminathan India 16 820 0.6× 368 0.4× 238 0.6× 261 0.8× 152 0.6× 42 948
Young Won Chang South Korea 23 1.4k 1.1× 886 0.9× 375 1.0× 235 0.7× 158 0.6× 84 1.5k
Zhenli Mi China 15 1.4k 1.1× 1.0k 1.1× 401 1.0× 58 0.2× 178 0.7× 71 1.5k
Wu Gong Japan 28 2.1k 1.7× 1.3k 1.3× 515 1.3× 287 0.9× 329 1.2× 110 2.4k
Srikant Gollapudi India 15 648 0.5× 530 0.5× 180 0.5× 229 0.7× 102 0.4× 50 875
Richard G. Rateick United States 21 804 0.6× 713 0.7× 481 1.2× 266 0.8× 51 0.2× 43 1.2k
Y.B. Chun South Korea 22 1.5k 1.2× 1.5k 1.5× 562 1.5× 1.0k 3.2× 75 0.3× 69 2.2k

Countries citing papers authored by Jun‐Yun Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Yun Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Yun 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 Jun‐Yun Kang. The network helps show where Jun‐Yun Kang may publish in the future.

Co-authorship network of co-authors of Jun‐Yun Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Yun Kang. A scholar is included among the top collaborators of Jun‐Yun Kang 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 Jun‐Yun Kang. Jun‐Yun Kang 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, Minseok, Jong‐Seo Kim, S. H. Ye, et al.. (2025). Strain‐Driven Selective Stabilization of Metastable TiO 2 Phases. Small. 21(45). e05427–e05427.
2.
Kim, Young‐Hoon, et al.. (2024). Enhanced ultra-cryogenic impact toughness in 9 wt% Ni steel through lamellar microstructure refinement. Materials Science and Engineering A. 914. 147167–147167. 7 indexed citations
3.
Lee, Tae‐Ho, et al.. (2024). Rate-dependent serration behavior of twinning-induced plasticity steel at ultra-low temperature. Journal of Materials Research and Technology. 33. 2580–2592. 4 indexed citations
4.
Moon, Joonoh, et al.. (2024). Microstructure and Mechanical Properties in Friction Welded Joint of Non-Quenched and Tempered Steel. Journal of Welding and Joining. 42(6). 599–605.
5.
Kang, Jun‐Yun, et al.. (2023). Understanding secondary phase inclusion and composition variations in the microstructure design of n-type Bi 2Te 3 alloys via selective dissolution of KCl. Journal of Advanced Ceramics. 12(12). 2360–2370. 6 indexed citations
6.
Adomako, Nana Kwabena, Dong Jun Lee, Ji-Hyun Yoon, et al.. (2022). Microstructural Evolution and Mechanical Properties of Functionally Graded Austenitic–Ferritic Steel Produced Via Directed Energy Deposition. SSRN Electronic Journal. 1 indexed citations
7.
Jeon, Hansol, Juyoung Kim, Jun‐Yun Kang, et al.. (2020). Enhanced thermal stability of Bi2Te3-based alloys via interface engineering with atomic layer deposition. Journal of the European Ceramic Society. 40(10). 3592–3599. 18 indexed citations
8.
Kim, Sung‐Dae, Jun Young Park, Seong‐Jun Park, et al.. (2019). Direct observation of dislocation plasticity in high-Mn lightweight steel by in-situ TEM. Scientific Reports. 9(1). 15171–15171. 63 indexed citations
9.
Kang, Jun‐Yun, et al.. (2018). Effect of Cross Rolling on the Development of Textures in Tantalum. 31(6). 275–282.
10.
Jung, Jaimyun, et al.. (2018). Modelling feasibility constraints for materials design: Application to inverse crystallographic texture problem. Computational Materials Science. 156. 361–367. 6 indexed citations
11.
Ha, Heon‐Young, Chang-Geun Lee, Min‐Ho Jang, et al.. (2018). Tailoring oxidation resistance of Super304H by controlling Mn content. Corrosion Science. 146. 213–220. 7 indexed citations
12.
Kim, Hoyoung, et al.. (2016). Analyses of the failures on shear cutting blades after trimming of ultra high-strength steel. Engineering Failure Analysis. 71. 148–156. 4 indexed citations
13.
Lee, Keunho, Seong‐Jun Park, Joonoh Moon, et al.. (2016). β-Mn formation and aging effect on the fracture behavior of high-Mn low-density steels. Scripta Materialia. 124. 193–197. 57 indexed citations
14.
Lee, Tae‐Ho, Heon‐Young Ha, Jae Hoon Jang, et al.. (2016). Self-twinning in solid-state decomposition. Acta Materialia. 123. 197–205. 9 indexed citations
15.
Kang, Jun‐Yun, Heon‐Young Ha, Min‐Ho Jang, et al.. (2015). Underlying structure of bulky oxide nodule on alumina-forming austenitic stainless steel. Scripta Materialia. 102. 63–66. 7 indexed citations
16.
Ha, Heon‐Young, Jun‐Yun Kang, Jie Yang, Chang Dong Yim, & Bong Sun You. (2015). Role of Sn in corrosion and passive behavior of extruded Mg-5 wt%Sn alloy. Corrosion Science. 102. 355–362. 70 indexed citations
17.
Kim, Ho‐Young, et al.. (2014). Microstructures and Mechanical Properties of Cold-Work Tool Steels: A Comparison of 8%Cr Steel with STD11. 27(5). 242–252. 7 indexed citations
18.
Kang, Jun‐Yun, et al.. (2013). Phase Analysis on Dual-Phase Steel Using Band Slope of Electron Backscatter Diffraction Pattern. Microscopy and Microanalysis. 19(S5). 13–16. 52 indexed citations
19.
Kang, Jun‐Yun, Do Hyun Kim, Sung‐Il Baik, et al.. (2011). Phase Analysis of Steels by Grain-averaged EBSD Functions. ISIJ International. 51(1). 130–136. 55 indexed citations
20.
Lee, Seung Hyun, Jun‐Yun Kang, Heung Nam Han, et al.. (2005). Variant Selection in Mechanically-induced Martensitic Transformation of Metastable Austenitic Steel. ISIJ International. 45(8). 1217–1219. 34 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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