Youngseog Lee

672 total citations
52 papers, 537 citations indexed

About

Youngseog Lee is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Youngseog Lee has authored 52 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Mechanical Engineering, 47 papers in Mechanics of Materials and 28 papers in Materials Chemistry. Recurrent topics in Youngseog Lee's work include Metallurgy and Material Forming (41 papers), Microstructure and Mechanical Properties of Steels (29 papers) and Metal Alloys Wear and Properties (22 papers). Youngseog Lee is often cited by papers focused on Metallurgy and Material Forming (41 papers), Microstructure and Mechanical Properties of Steels (29 papers) and Metal Alloys Wear and Properties (22 papers). Youngseog Lee collaborates with scholars based in South Korea, Australia and China. Youngseog Lee's co-authors include Sang-Woo Choi, Sungil Kim, Yeon‐Chul Yoo, Sung‐Il Kim, Sang Min Byon, Peter Hodgson, Yong‐Taek Im, Sung Jin Lee, Anthony D. Rollett and P. Manohar and has published in prestigious journals such as Materials Science and Engineering A, Journal of Materials Processing Technology and Engineering Fracture Mechanics.

In The Last Decade

Youngseog Lee

50 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngseog Lee South Korea 14 463 412 333 54 26 52 537
Spyros Papaefthymiou Greece 15 605 1.3× 316 0.8× 397 1.2× 96 1.8× 70 2.7× 61 672
Birger Karlsson Sweden 12 507 1.1× 274 0.7× 287 0.9× 55 1.0× 38 1.5× 26 554
Sang-Woo Choi South Korea 11 297 0.6× 152 0.4× 181 0.5× 51 0.9× 89 3.4× 27 369
Xifeng Li China 17 394 0.9× 263 0.6× 345 1.0× 68 1.3× 41 1.6× 33 561
Sh. Kheirandish Iran 14 456 1.0× 274 0.7× 439 1.3× 79 1.5× 56 2.2× 25 615
Dongun Kim South Korea 9 382 0.8× 185 0.4× 108 0.3× 66 1.2× 18 0.7× 12 392
Il‐Heon Son South Korea 17 511 1.1× 356 0.9× 432 1.3× 33 0.6× 56 2.2× 32 577
Shamik Basak India 18 669 1.4× 575 1.4× 322 1.0× 29 0.5× 17 0.7× 35 710
Huang Long China 10 369 0.8× 196 0.5× 274 0.8× 41 0.8× 14 0.5× 22 425
Joong-Ki Hwang South Korea 15 525 1.1× 288 0.7× 454 1.4× 50 0.9× 135 5.2× 56 630

Countries citing papers authored by Youngseog Lee

Since Specialization
Citations

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

Fields of papers citing papers by Youngseog Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngseog Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Youngseog Lee. A scholar is included among the top collaborators of Youngseog 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 Youngseog Lee. Youngseog 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.
Kim, Young-Pyo, et al.. (2021). Structural Integrity Assessment of Defected Gas Pipelines Using a Simplified Ductile Damage Model. Journal of Pressure Vessel Technology. 144(1). 2 indexed citations
3.
Lee, Youngseog, et al.. (2019). Development of a Machine Learning Based Fast Running Model to Determine Rapidly the Process Conditions in Drawing Process. International Journal of Automotive Technology. 20(S1). 9–17. 3 indexed citations
4.
Lee, Youngseog, et al.. (2019). Evaluation of the prediction ability of ductile fracture criteria over a wide range of drawing conditions. Journal of Mechanical Science and Technology. 33(9). 4245–4254. 8 indexed citations
5.
Lee, Youngseog, et al.. (2017). An approximate model to predict the surface profile of material sections in a 3-roll rolling process. Journal of Mechanical Science and Technology. 31(7). 3489–3497. 3 indexed citations
6.
Lee, Youngseog, et al.. (2014). Thermal Stress Evolution of the Roll During Rolling and Idling in Hot Strip Rolling Process. Journal of Thermal Stresses. 37(8). 981–1001. 14 indexed citations
7.
Lee, Youngseog, et al.. (2013). A study to predict the creation of surface defects on material and suppress them in caliber rolling process. International Journal of Precision Engineering and Manufacturing. 14(10). 1727–1734. 10 indexed citations
8.
Lee, Youngseog, et al.. (2013). Flow stress equation in range of intermediate strain rates and high temperatures to predict roll force in four-pass continuous rod rolling. Transactions of Nonferrous Metals Society of China. 23(3). 742–748. 13 indexed citations
9.
Lee, Sung Jin, et al.. (2012). Effect of the Roll Surface Profile on Centerline Segregation in Soft Reduction Process. ISIJ International. 52(7). 1266–1272. 24 indexed citations
10.
Lee, Youngseog, et al.. (2009). An Approximate Model for Local Strain Variation over Material Thickness and Its Applications to Thick Plate Rolling Process. ISIJ International. 49(3). 402–407. 13 indexed citations
11.
Lee, Youngseog. (2007). Effect of Rolling Speed on the Exit Cross Sectional Shape in Rod Rolling Process. International Journal of Precision Engineering and Manufacturing. 8(1). 27–31. 4 indexed citations
12.
Lee, Youngseog, et al.. (2007). Experimental and Semi-analytical Study of Wear Contour of Roll Groove and Its Applications to Rod Mill. ISIJ International. 47(7). 1006–1015. 5 indexed citations
13.
Lee, Youngseog, et al.. (2003). Numerical Prediction of Austenite Grain Size in Round-Oval-Round Bar Rolling. ISIJ International. 43(5). 676–683. 16 indexed citations
14.
Lee, Youngseog, et al.. (2003). Effect of interstand tension on roll load, torque and workpiece deformation in the rod rolling process. Journal of Materials Processing Technology. 145(1). 7–13. 14 indexed citations
15.
Kim, Sungil, et al.. (2003). Modeling of recrystallization and austenite grain size for AISI 316 stainless steel and its application to hot bar rolling. Materials Science and Engineering A. 357(1-2). 235–239. 31 indexed citations
16.
Kim, Dong Hwan, Byung‐Min Kim, & Youngseog Lee. (2002). Adjustment of Roll Gap for The Dimension Accuracy of Bar in Hot Bar Rolling Process. International Journal of Precision Engineering and Manufacturing. 19(1). 56–103. 6 indexed citations
17.
Lee, Youngseog. (2001). An Analytical Study of Mean Roll Radius in Rod Rolling.. ISIJ International. 41(11). 1414–1416. 13 indexed citations
18.
Lee, Youngseog & Sang-Woo Choi. (2000). New approach for the prediction of stress free surface profile of a workpiece in rod rolling.. ISIJ International. 40(6). 624–626. 22 indexed citations
19.
Lee, Youngseog, et al.. (2000). An experimental study of the mean effective strain in rod (or bar) rolling process. Metals and Materials. 6(6). 525–531. 8 indexed citations
20.
Lee, Youngseog. (1999). Calculating Model of Mean Strain in Rod Rolling Process. ISIJ International. 39(9). 961–964. 13 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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