Dae-Yong Kim

8.8k total citations
323 papers, 7.1k citations indexed

About

Dae-Yong Kim is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Dae-Yong Kim has authored 323 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Mechanical Engineering, 66 papers in Mechanics of Materials and 56 papers in Materials Chemistry. Recurrent topics in Dae-Yong Kim's work include Metal Forming Simulation Techniques (71 papers), Metallurgy and Material Forming (52 papers) and Microstructure and mechanical properties (32 papers). Dae-Yong Kim is often cited by papers focused on Metal Forming Simulation Techniques (71 papers), Metallurgy and Material Forming (52 papers) and Microstructure and mechanical properties (32 papers). Dae-Yong Kim collaborates with scholars based in South Korea, United States and Japan. Dae-Yong Kim's co-authors include Myoung‐Gyu Lee, Jin‐Woo Lee, Michael L. Wenner, F. Barlat, Kwansoo Chung, Chongmin Kim, K.F. Chung, Chang Hwan Kim, Hyuk Jong Bong and Heung Nam Han and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Circulation.

In The Last Decade

Dae-Yong Kim

308 papers receiving 6.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dae-Yong Kim 2.6k 1.7k 1.3k 1.2k 813 323 7.1k
A. D. Roberts 1.8k 0.7× 4.2k 2.5× 930 0.7× 375 0.3× 851 1.0× 74 9.9k
Nigel J. Saunders 2.2k 0.9× 403 0.2× 1.3k 0.9× 2.4k 2.0× 314 0.4× 196 8.7k
Hiroshi Nishikawa 3.9k 1.5× 1.2k 0.7× 793 0.6× 701 0.6× 3.5k 4.3× 580 9.6k
Kenta Nakai 1.2k 0.5× 463 0.3× 1.7k 1.3× 9.6k 7.9× 604 0.7× 323 16.8k
John Lenard 1.5k 0.6× 1.3k 0.8× 991 0.7× 3.0k 2.4× 78 0.1× 190 6.8k
J.W. McBride 1.2k 0.5× 647 0.4× 238 0.2× 434 0.4× 983 1.2× 238 3.5k
Bing Wang 3.4k 1.3× 849 0.5× 2.4k 1.8× 5.6k 4.6× 1.5k 1.9× 291 13.2k
Franck Morel 1.5k 0.6× 1.2k 0.7× 525 0.4× 1.4k 1.2× 111 0.1× 202 7.6k
Liqiu Wang 1.9k 0.8× 1.0k 0.6× 1.8k 1.3× 719 0.6× 2.4k 2.9× 311 9.4k
Wei Zhao 344 0.1× 185 0.1× 568 0.4× 1.4k 1.1× 916 1.1× 434 5.8k

Countries citing papers authored by Dae-Yong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Yong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae-Yong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dae-Yong Kim. A scholar is included among the top collaborators of Dae-Yong Kim 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-Yong Kim. Dae-Yong Kim 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, Hyojung, Hyojin Kim, Ji Hun Kim, et al.. (2025). Gut microbial production of imidazole propionate drives Parkinson’s pathologies. Nature Communications. 16(1). 8216–8216. 2 indexed citations
2.
Kim, Se‐Jong, et al.. (2024). Evaluation of Vibration Damping Enhancement in Laminated Aluminum Sheets for Automotive Application. Materials. 17(17). 4421–4421. 1 indexed citations
3.
Lee, Jin‐Woo, Hyuk Jong Bong, Jinjin Ha, & Dae-Yong Kim. (2023). Inter-void shearing effect on damage evolution under plane strain deformation in high-strength aluminum alloy sheet. Journal of Materials Research and Technology. 26. 7547–7565. 5 indexed citations
4.
Lee, Jin‐Woo, Hyuk Jong Bong, Dae-Yong Kim, & Jinjin Ha. (2023). Modeling the multiaxial fracture behavior of Ti–6Al–4V alloy sheets at a high temperature using improved damage modeling. Journal of Materials Research and Technology. 25. 1844–1859. 7 indexed citations
5.
Kim, Chanyang, et al.. (2022). Inhomogeneous flow stresses in FSW jointed aluminum alloy sheets inversely identified by FE-VFM. International Journal of Mechanical Sciences. 245. 108097–108097. 10 indexed citations
6.
Kim, Hyunki, et al.. (2022). Bendability assessment of high strength aluminum alloy sheets via V-die air bending method. Journal of Materials Research and Technology. 20. 1481–1494. 4 indexed citations
7.
Lee, Jin‐Woo, et al.. (2022). Micromechanics-based modeling of plastic and ductile fracture of aluminum alloy 2024-O. Engineering Fracture Mechanics. 261. 108213–108213. 21 indexed citations
8.
Yoo, Dong-Hoon, et al.. (2022). Evaluation of rate-dependent forming limit for AA7075 sheets under pneumatic stretching method at elevated temperatures. Journal of Materials Research and Technology. 22. 1839–1854. 4 indexed citations
9.
Kim, Hyunki, et al.. (2021). Failure with Strain Localization of Aluminum Alloy 7075 Sheets at Elevated Temperature and its Application to Two-Step Hybrid Forming. Metals and Materials International. 28(4). 871–886. 9 indexed citations
10.
Park, Soon‐Dong, Sung Youb Kim, & Dae-Yong Kim. (2021). Ab initio investigations of the interfacial bond of Fe(001)/Al(001). Materials Today Communications. 26. 102107–102107. 9 indexed citations
11.
Bong, Hyuk Jong, et al.. (2020). Correlative Study on Plastic Response and Formability of Ti-6Al-4V Sheets under Hot Forming Conditions. Journal of Manufacturing Processes. 58. 775–786. 19 indexed citations
12.
Lee, Jin‐Woo, et al.. (2020). Characteristic evaluation of electromagnetic forming system and its application to deformation prediction in bulge forming. The International Journal of Advanced Manufacturing Technology. 107(1-2). 775–789. 5 indexed citations
13.
14.
Kim, Se‐Jong, et al.. (2019). Characterization of the Mechanical Properties of a High-Strength Laminated Vibration Damping Steel Sheet and Their Application to Formability Prediction. Metals and Materials International. 25(5). 1326–1340. 11 indexed citations
15.
Lee, Jin‐Woo, et al.. (2019). Electromagnetic expansion joining between tubular and flat sheet component. Journal of Materials Processing Technology. 273. 116246–116246. 9 indexed citations
16.
Kim, Se‐Jong, et al.. (2018). Improving the room-temperature formability of a magnesium alloy sheet by texture control. Materials Science and Engineering A. 724. 156–163. 19 indexed citations
17.
Lee, Sang‐Goo, Alaattin Kaya, Andrei Avanesov, et al.. (2017). Age-associated molecular changes are deleterious and may modulate life span through diet. Science Advances. 3(2). e1601833–e1601833. 9 indexed citations
18.
Lee, Jin‐Woo, et al.. (2017). Distortional hardening concept for modeling anisotropic/asymmetric plastic behavior of AZ31B magnesium alloy sheets. International Journal of Plasticity. 94. 74–97. 44 indexed citations
19.
Lee, Jin‐Woo, Dae-Yong Kim, Young-Seon Lee, et al.. (2014). Stress update algorithm for enhanced homogeneous anisotropic hardening model. Computer Methods in Applied Mechanics and Engineering. 286. 63–86. 34 indexed citations
20.
Choi, Yang‐Kyu, Jin Choi, Byung Hwa Hyun, et al.. (1997). Antitumor effect of methotrexate in SCID mice with human leukemia CCRF-CEM cell line. KRIBB Repository. 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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