Dae-Won Cho

584 total citations
33 papers, 443 citations indexed

About

Dae-Won Cho is a scholar working on Mechanical Engineering, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Dae-Won Cho has authored 33 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanical Engineering, 5 papers in Computational Mechanics and 4 papers in Aerospace Engineering. Recurrent topics in Dae-Won Cho's work include Welding Techniques and Residual Stresses (24 papers), Additive Manufacturing Materials and Processes (10 papers) and Advanced Welding Techniques Analysis (7 papers). Dae-Won Cho is often cited by papers focused on Welding Techniques and Residual Stresses (24 papers), Additive Manufacturing Materials and Processes (10 papers) and Advanced Welding Techniques Analysis (7 papers). Dae-Won Cho collaborates with scholars based in South Korea, Australia and India. Dae-Won Cho's co-authors include Suck-Joo Na, Woo-Hyun Song, Degala Venkata Kiran, Won-Ik Cho, Hyeong-Soon Moon, Jong‐Sub Lee, Namhyun Kang, Hyunbin Nam, Yeong-Do Park and Muralimohan Cheepu and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Journal of Materials Processing Technology and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Dae-Won Cho

31 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae-Won Cho South Korea 12 415 73 69 58 53 33 443
Jair Carlos Dutra Brazil 12 338 0.8× 59 0.8× 77 1.1× 83 1.4× 64 1.2× 55 376
Qingxian Hu China 15 462 1.1× 52 0.7× 63 0.9× 79 1.4× 51 1.0× 40 505
Tomasz Kik Poland 12 458 1.1× 39 0.5× 34 0.5× 94 1.6× 108 2.0× 59 490
Jiajing Pan China 13 384 0.9× 26 0.4× 95 1.4× 105 1.8× 82 1.5× 26 458
Zhen Luo China 7 449 1.1× 92 1.3× 94 1.4× 65 1.1× 85 1.6× 33 465
Xiangzhong Jin China 13 544 1.3× 32 0.4× 75 1.1× 74 1.3× 54 1.0× 27 575
Renzhi Hu China 15 513 1.2× 48 0.7× 92 1.3× 45 0.8× 55 1.0× 23 547
Woo-Hyun Song South Korea 8 309 0.7× 75 1.0× 47 0.7× 50 0.9× 51 1.0× 17 330
Abdel‐Monem El‐Batahgy Egypt 10 394 0.9× 105 1.4× 65 0.9× 59 1.0× 80 1.5× 28 425
Weijian Ning China 11 340 0.8× 19 0.3× 56 0.8× 54 0.9× 61 1.2× 14 386

Countries citing papers authored by Dae-Won Cho

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Won Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae-Won Cho. 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 Dae-Won Cho. The network helps show where Dae-Won Cho may publish in the future.

Co-authorship network of co-authors of Dae-Won Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Dae-Won Cho. A scholar is included among the top collaborators of Dae-Won Cho 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 Dae-Won Cho. Dae-Won Cho 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.
Song, Inyoung, et al.. (2024). Effects of Autogenous Gas Tungsten Arc Welding (GTAW) on Corrosion Resistance of Stainless Steel 316L. Processes. 12(8). 1757–1757. 2 indexed citations
2.
Cho, Dae-Won, et al.. (2024). Severe Mn vaporization for partial-penetrated laser keyhole welds of high-manganese cryogenic steel. International Journal of Heat and Mass Transfer. 227. 125567–125567. 2 indexed citations
3.
Cho, Dae-Won, et al.. (2024). Experimental investigation of plasma arc cutting process to evaluate the characteristics of kerf geometry using ANOVA. Journal of Mechanical Science and Technology. 38(7). 3641–3655. 1 indexed citations
4.
Cho, Dae-Won, et al.. (2024). Mn vaporization control and stress-induced martensite transformation in high-manganese steel welds under different laser keyhole conditions. Journal of Materials Research and Technology. 33. 6565–6575. 1 indexed citations
5.
Cho, Dae-Won, et al.. (2024). Numerical analysis and Schlieren visualization of gas flow dynamics inside the plasma arc cut kerf with curved cutting fronts. International Communications in Heat and Mass Transfer. 159. 108075–108075. 1 indexed citations
6.
Cho, Dae-Won, et al.. (2023). A Study on Changes of Bead Shape and Metal Transfer Mode Affected by Molten Pool Behavior for Welding Position in GMAW Process. Journal of Welding and Joining. 41(4). 244–253. 2 indexed citations
7.
Cho, Dae-Won, et al.. (2023). Modal Parameter Estimation for PH15-7Mo Bracket Vibration Fatigue Failure with a Base Excitation. Transactions of the Korean Society for Noise and Vibration Engineering. 33(6). 663–670.
8.
Cho, Dae-Won, et al.. (2023). Influence of thermal flow and predicting phase transformation on various welding positions. Heat and Mass Transfer. 60(1). 195–207. 3 indexed citations
9.
Cho, Dae-Won, et al.. (2022). Vaporization Modeling and Experimental Verification During Laser Beam Welding for 24Mn Steel. Journal of Welding and Joining. 40(6). 457–463. 4 indexed citations
10.
Kim, Kwan, et al.. (2022). Effect of assist gas pressure on cutting quality in underwater cutting of stainless steel using high-power fiber laser. Modern Physics Letters B. 36(16). 3 indexed citations
11.
Cho, Dae-Won, et al.. (2022). Analysis of Gas Flow Dynamics in Thermal Cut Kerf Using a Numerical and Experimental Approach for Nozzle Selection. Processes. 10(10). 1951–1951. 5 indexed citations
12.
Cho, Dae-Won, et al.. (2022). Analysis of Laser Cutting Process for Different Diagonal Material Shapes. Processes. 10(12). 2743–2743. 6 indexed citations
13.
Cho, Dae-Won, et al.. (2022). CFD simulation of molten pool dynamic behavior on vertical-downward position in P-GMAW process. International Communications in Heat and Mass Transfer. 132. 105876–105876. 12 indexed citations
15.
Cho, Dae-Won, et al.. (2021). Characteristic Analysis of Double Arcing on the Top Surface of STS304 in Plasma Arc Piercing. Journal of Welding and Joining. 39(4). 427–434. 1 indexed citations
16.
Kim, Jong-Do, et al.. (2021). Effect of focal position on cut surface quality in laser cutting of 50-mm thick stainless steel. International Journal of Modern Physics B. 35(14n16). 2140018–2140018. 1 indexed citations
17.
Cho, Dae-Won, et al.. (2020). Analysis of Gas Flow Behavior in the Laser Cutting Process using the Schlieren Method and Image Processing. Journal of Welding and Joining. 38(6). 569–575. 5 indexed citations
18.
Cho, Dae-Won, et al.. (2019). A study on molten pool behavior in the one pulse one drop GMAW process using computational fluid dynamics. International Journal of Heat and Mass Transfer. 139. 848–859. 29 indexed citations
19.
Cho, Dae-Won, Won-Ik Cho, & Suck-Joo Na. (2013). Modeling and simulation of arc: Laser and hybrid welding process. Journal of Manufacturing Processes. 16(1). 26–55. 44 indexed citations
20.
Cho, Dae-Won, Suck-Joo Na, & Mok-Young Lee. (2009). Expectation of Bead Shape using Non-linear Multiple Regression and Piecewise Cubic Hermite Interpolation in FCA Fillet Pipe Welding. Journal of Welding and Joining. 27(5). 42–48. 5 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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