Tae-Wan Ku

996 total citations
69 papers, 806 citations indexed

About

Tae-Wan Ku is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Tae-Wan Ku has authored 69 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Mechanical Engineering, 56 papers in Mechanics of Materials and 21 papers in Materials Chemistry. Recurrent topics in Tae-Wan Ku's work include Metallurgy and Material Forming (47 papers), Metal Forming Simulation Techniques (43 papers) and Laser and Thermal Forming Techniques (19 papers). Tae-Wan Ku is often cited by papers focused on Metallurgy and Material Forming (47 papers), Metal Forming Simulation Techniques (43 papers) and Laser and Thermal Forming Techniques (19 papers). Tae-Wan Ku collaborates with scholars based in South Korea and China. Tae-Wan Ku's co-authors include Beom-Soo Kang, Woo-Jin Song, Guo-zheng Quan, Yu Shi, Yixin Wang, Sang-Moon Hwang, Young-Ho Seo, Jinwoo Kim, Sehwan Song and Jeong Kim and has published in prestigious journals such as Materials Science and Engineering A, Composites Part B Engineering and Journal of Materials Processing Technology.

In The Last Decade

Tae-Wan Ku

61 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae-Wan Ku South Korea 15 634 607 260 133 128 69 806
Kunmin Zhao China 19 570 0.9× 1.0k 1.7× 351 1.4× 50 0.4× 166 1.3× 55 1.2k
Qinxiang Xia China 17 605 1.0× 783 1.3× 276 1.1× 88 0.7× 177 1.4× 74 944
Ding Tang China 16 261 0.4× 536 0.9× 217 0.8× 140 1.1× 138 1.1× 53 738
C. Butcher Canada 21 962 1.5× 1.4k 2.2× 651 2.5× 86 0.6× 145 1.1× 84 1.5k
Matthias Weiß Australia 19 743 1.2× 948 1.6× 313 1.2× 33 0.2× 135 1.1× 95 1.1k
Fuh-Kuo Chen Taiwan 15 417 0.7× 694 1.1× 226 0.9× 243 1.8× 138 1.1× 41 758
Zhen Zhao China 17 599 0.9× 750 1.2× 386 1.5× 52 0.4× 117 0.9× 102 876
Norio TAKAKURA Japan 19 496 0.8× 753 1.2× 196 0.8× 24 0.2× 43 0.3× 69 854
Gaetano S. Palazzo Italy 17 319 0.5× 845 1.4× 102 0.4× 28 0.2× 153 1.2× 52 997
E. Doege Germany 15 474 0.7× 816 1.3× 171 0.7× 242 1.8× 153 1.2× 51 887

Countries citing papers authored by Tae-Wan Ku

Since Specialization
Citations

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

Fields of papers citing papers by Tae-Wan Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae-Wan Ku. 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 Tae-Wan Ku. The network helps show where Tae-Wan Ku may publish in the future.

Co-authorship network of co-authors of Tae-Wan Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Wan Ku. A scholar is included among the top collaborators of Tae-Wan Ku 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 Tae-Wan Ku. Tae-Wan Ku 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.
Ku, Tae-Wan, et al.. (2024). Vision-Guided Tracking and Emergency Landing for UAVs on Moving Targets. Drones. 8(5). 182–182. 6 indexed citations
2.
Ku, Tae-Wan, et al.. (2023). Deep Learning-Based Robust Actuator Fault Detection and Isolation Scheme for Highly Redundant Multirotor UAVs. Drones. 7(7). 437–437. 7 indexed citations
3.
Kang, Beom-Soo, et al.. (2023). A Study on Structural Integrity Improvement of Cargo Drone through FE Simulation and Topology Optimization. Journal of the Korean Society for Precision Engineering. 40(9). 685–693.
4.
5.
Kang, Bongsoon, et al.. (2016). Numerical Prediction of the Outer Diameter for SAW Pipes Formed by Press-Brake Bending. Transactions of Materials Processing. 25(2). 116–123.
6.
Kang, Beom-Soo, et al.. (2016). Effects of anisotropic properties on bursting behavior of rectangular cup with a V-notch. Journal of Mechanical Science and Technology. 30(9). 4259–4267. 1 indexed citations
7.
Ku, Tae-Wan, et al.. (2016). Tool fabrication for composite forming of aircraft winglet using multi-point dieless forming. Journal of Mechanical Science and Technology. 30(5). 2203–2210. 6 indexed citations
8.
Ku, Tae-Wan, et al.. (2015). Shape error prediction and compensation of three-dimensional surface in flexibly-reconfigurable roll forming. Journal of Mechanical Science and Technology. 29(10). 4387–4397. 9 indexed citations
9.
Ku, Tae-Wan & Beom-Soo Kang. (2014). Tool design and experimental verification for multi-stage cold forging process of the outer race. International Journal of Precision Engineering and Manufacturing. 15(9). 1995–2004. 13 indexed citations
10.
Liu, Pan, et al.. (2013). Investigation on process parameters of flexible stretch forming process using orthogonal experiment design. AIP conference proceedings. 1093–1097. 1 indexed citations
11.
Ku, Tae-Wan, et al.. (2013). A study on process parameters for cold U-bending of SUS304L heat transfer tube using rotary draw bending. Journal of Mechanical Science and Technology. 27(10). 3053–3061. 4 indexed citations
12.
Seo, Young-Ho, et al.. (2010). A study on thick plate forming using flexible forming process and its application to a simply curved plate. The International Journal of Advanced Manufacturing Technology. 51(1-4). 103–115. 22 indexed citations
13.
Ku, Tae-Wan, et al.. (2008). Dynamic Analysis and Experiments of High Impulsive Force Device with Isolation System. Journal of the Korean Society for Precision Engineering. 25(10). 107–114. 3 indexed citations
14.
Seo, Young-Ho, et al.. (2008). A Study on Thermal and Modal Characteristics for EGR System with Dimpled Rectangular Tube. Journal of the Korean Society for Precision Engineering. 25(3). 115–125. 1 indexed citations
15.
Ku, Tae-Wan. (2008). Process Design and Finite Element Analysis of Rectangular Cup used for Ni-MH Battery with High Aspect Ratio. Transactions of Materials Processing. 17(3). 170–181. 3 indexed citations
16.
Ku, Tae-Wan, et al.. (2007). Numerical Analysis of Parameters Affecting Formability in Micro Half Blanking Using Thin Sheet Metal. 한국정밀공학회 학술발표대회 논문집. 15–16.
17.
Song, Sehwan, et al.. (2007). Finite element modeling and simulation for bending analysis of multi-layer printed circuit boards using woven fiber composite. Journal of Materials Processing Technology. 201(1-3). 746–750. 23 indexed citations
18.
Song, Woo-Jin, et al.. (2007). Study on Application of Forming Limit Criteria for Formability on Hydroforming Parts. Transactions of the Korean Society of Mechanical Engineers A. 31(8). 833–838.
19.
Ku, Tae-Wan & Beom-Soo Kang. (2003). FE approach and experiments for an axisymmetric micro-yoke part forming using grain element and grain boundary element. Journal of Materials Processing Technology. 140(1-3). 65–69. 1 indexed citations
20.
Ku, Tae-Wan, et al.. (1999). A CAE Approach for Net-Shape Automobile Stamping Components of Aluminum Alloy. Journal of the Korean Society for Precision Engineering. 16(10). 164–171. 1 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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