Seok-Jae Lee

4.0k total citations
128 papers, 2.9k citations indexed

About

Seok-Jae Lee is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Seok-Jae Lee has authored 128 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Mechanical Engineering, 73 papers in Materials Chemistry and 46 papers in Mechanics of Materials. Recurrent topics in Seok-Jae Lee's work include Microstructure and Mechanical Properties of Steels (63 papers), Metal Alloys Wear and Properties (44 papers) and Metallurgy and Material Forming (35 papers). Seok-Jae Lee is often cited by papers focused on Microstructure and Mechanical Properties of Steels (63 papers), Metal Alloys Wear and Properties (44 papers) and Metallurgy and Material Forming (35 papers). Seok-Jae Lee collaborates with scholars based in South Korea, United States and Australia. Seok-Jae Lee's co-authors include Bruno C. De Cooman, Seawoong Lee, Jin‐Kyung Kim, C.J. Van Tyne, S. N. Kane, David K. Matlock, Kyong‐Su Park, Singon Kang, Kyooyoung Lee and In‐Jin Shon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Materials Science and Engineering A.

In The Last Decade

Seok-Jae Lee

120 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seok-Jae Lee South Korea 26 2.7k 1.9k 862 808 484 128 2.9k
Guang Xu China 25 2.6k 0.9× 2.0k 1.1× 961 1.1× 482 0.6× 450 0.9× 204 2.8k
M. Calcagnotto Germany 9 3.1k 1.1× 2.3k 1.2× 1.1k 1.3× 764 0.9× 206 0.4× 11 3.4k
Zhihui Cai China 25 2.0k 0.7× 1.3k 0.7× 616 0.7× 385 0.5× 410 0.8× 90 2.1k
L. Krüger Germany 18 2.3k 0.8× 1.6k 0.8× 700 0.8× 570 0.7× 206 0.4× 53 2.5k
Emmanuel De Moor United States 23 3.1k 1.1× 2.4k 1.3× 1.0k 1.2× 876 1.1× 639 1.3× 82 3.2k
Kohsaku Ushioda Japan 28 2.8k 1.0× 1.6k 0.8× 880 1.0× 476 0.6× 340 0.7× 252 3.1k
Nobuo Nakada Japan 30 2.9k 1.1× 2.0k 1.1× 923 1.1× 1.1k 1.3× 324 0.7× 99 3.2k
Rintaro Ueji Japan 37 5.0k 1.8× 3.2k 1.7× 1.3k 1.5× 964 1.2× 301 0.6× 128 5.3k
Byoungchul Hwang South Korea 30 2.7k 1.0× 1.9k 1.0× 1.2k 1.3× 1.1k 1.4× 197 0.4× 139 3.1k
D. San Martı́n Spain 25 1.9k 0.7× 1.4k 0.7× 526 0.6× 523 0.6× 165 0.3× 98 2.2k

Countries citing papers authored by Seok-Jae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seok-Jae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seok-Jae Lee. 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 Seok-Jae Lee. The network helps show where Seok-Jae Lee may publish in the future.

Co-authorship network of co-authors of Seok-Jae Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Seok-Jae Lee. A scholar is included among the top collaborators of Seok-Jae Lee 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 Seok-Jae Lee. Seok-Jae Lee 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, Sang‐Hwa, Jung H. Shin, Seok-Jae Lee, & Jae-Gil Jung. (2025). Precipitation behavior and mechanical property anisotropy of Al–Zn–Mg–Cu alloy forgings. Materials Science and Engineering A. 926. 147957–147957. 5 indexed citations
2.
Kim, Sung‐Jin, et al.. (2025). Effect of Space Holder Size on Microstructure and Mechanical Properties of Aluminum Foam. Metals and Materials International. 31(8). 2432–2442.
3.
4.
Lee, Sang‐Hwa, et al.. (2025). Effects of mechanical milling on microstructure and mechanical properties of CrMnFeCoNi high-entropy alloy fabricated via spark plasma sintering. Journal of Materials Research and Technology. 39. 4854–4865.
5.
Lee, Sang‐Hwa, Zugang Mao, David N. Seidman, et al.. (2024). Ultrasound alters the nucleation pathway of primary Mg2Si in a chemically modified multicomponent Al–Mg2Si alloy. Journal of Alloys and Compounds. 1009. 177001–177001. 5 indexed citations
6.
Kang, Minwoo, et al.. (2024). Natural aging-induced nanoprecipitation and its impact on tensile properties of Al–Si–Cu–Mg cast alloy. Materials Characterization. 215. 114204–114204. 13 indexed citations
7.
Lee, Junho, Sang Hwa Lee, Seung Bae Son, et al.. (2024). Microstructural evolution and thermal stability of Al–Zn–Mg–Cu–Si–Zr alloy fabricated via spark plasma sintering. Journal of Materials Research and Technology. 31. 205–212. 6 indexed citations
8.
Lee, Junho, Kwangjun Euh, Singon Kang, et al.. (2024). Effect of Al–5Ti–1B Addition on Solidification Microstructure and Hot Deformation Behavior of DC-Cast Al–Zn–Mg–Cu Alloy. SHILAP Revista de lepidopterología. 145–149. 1 indexed citations
9.
Jung, Jae-Gil, et al.. (2023). Machine Learning Model and Prediction Mechanisms of Bainite Start Temperature of Low Alloy Steels. MATERIALS TRANSACTIONS. 64(9). 2214–2218. 3 indexed citations
10.
Euh, Kwangjun, Su-Hyeon Kim, Tae–Young Ahn, et al.. (2023). Revealing complex precipitation behavior of multicomponent Al83Zn5Cu5Mg5Li2 alloy. Journal of Alloys and Compounds. 944. 169192–169192. 8 indexed citations
11.
Son, Seung Bae, et al.. (2023). Austenitic Stability and Strain-Induced Martensitic Transformation Behavior of Nanocrystalline FeNiCrMoC HSLA Steels. SHILAP Revista de lepidopterología. 77–80. 1 indexed citations
12.
Lee, Minwoo, et al.. (2022). The Prediction of Optimized Metalloid Content in Fe-Si-B-P Amorphous Alloys Using Artificial Intelligence Algorithm. SHILAP Revista de lepidopterología. 1539–1542. 1 indexed citations
13.
Lee, Minwoo, et al.. (2022). A Study on the Optimization of Metalloid Contents of Fe-Si-B-C Based Amorphous Soft Magnetic Materials Using Artificial Intelligence Method. SHILAP Revista de lepidopterología. 1459–1463. 1 indexed citations
14.
Oh, Min‐Suk, et al.. (2021). Effect of Sintering Holding Time and Cooling Rate on the Austenite Stability and Mechanical Properties of Nanocrystalline FeCrC Alloy. Archives of Metallurgy and Materials. 759–763. 1 indexed citations
15.
Lee, Seok-Jae & Minsu Jung. (2020). Prediction of Martensite Start Temperatures of Highly Alloyed Steels. Archives of Metallurgy and Materials. 107–111. 8 indexed citations
16.
Lee, Seok-Jae, et al.. (2019). Effect of annealing condition on the crystallinity of VO 2 ( β ) thin-films fabricated by a solution-based process. Japanese Journal of Applied Physics. 58(10). 105501–105501. 3 indexed citations
17.
Lee, Seok-Jae, et al.. (2018). Prediction of Jominy Curve using Artificial Neural Network. 31(1). 1–5. 3 indexed citations
18.
Lee, Sangwon, Jin‐Kyung Kim, Seok-Jae Lee, & Bruno C. De Cooman. (2011). Effect of Cu addition on the mechanical behavior of austenitic twinning-induced plasticity steel. Scripta Materialia. 65(12). 1073–1076. 55 indexed citations
19.
Lee, Seok-Jae, et al.. (2008). Research of Virtual Environment and Sensor Modeling for Performance Assessment of Autonomous Navigation System. Journal of the Institute of Electronics Engineers of Korea. 45(6). 10–15. 2 indexed citations
20.
Lee, Seok-Jae, et al.. (2001). Prospects on Changing Business Structure in the Korean Construction Industry. Korean Journal of Construction Engineering and Management. 2(2). 37–46.

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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