Jung-Han Song

1.0k total citations
45 papers, 770 citations indexed

About

Jung-Han Song is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Jung-Han Song has authored 45 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanics of Materials, 27 papers in Mechanical Engineering and 18 papers in Materials Chemistry. Recurrent topics in Jung-Han Song's work include Metal Forming Simulation Techniques (22 papers), Metallurgy and Material Forming (14 papers) and High-Velocity Impact and Material Behavior (10 papers). Jung-Han Song is often cited by papers focused on Metal Forming Simulation Techniques (22 papers), Metallurgy and Material Forming (14 papers) and High-Velocity Impact and Material Behavior (10 papers). Jung-Han Song collaborates with scholars based in South Korea, United States and China. Jung-Han Song's co-authors include Hoon Huh, Ji-Ho Lim, Myoung‐Gyu Lee, Dae-Yong Kim, Yanshan Lou, Jeong Whan Yoon, Chao Qi, Gihyun Bae, K. Hariharan and Heung Nam Han and has published in prestigious journals such as Materials Science and Engineering A, Biosensors and Bioelectronics and Journal of Materials Processing Technology.

In The Last Decade

Jung-Han Song

42 papers receiving 750 citations

Peers

Jung-Han Song

EEE

CSE

Weixin Yu China

Laurent Tabourot France

Arun Raina Germany

James W. Foulk United States

Alankar Alankar India

Mostafa Jamshidian Iran

Haibo Xie Australia

О. P. Ostash Ukraine

Gabriel P. Potirniche United States

Weixin Yu China

Jung-Han Song

457 ×0.9

428 ×1.1

506 ×1.3

83 ×0.6

EEE

55 ×0.6

CSE

Citations per year, relative to Jung-Han Song Jung-Han Song (= 1×) peers Weixin Yu

Countries citing papers authored by Jung-Han Song

Since Specialization

Citations

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

Fields of papers citing papers by Jung-Han Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung-Han Song. 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 Jung-Han Song. The network helps show where Jung-Han Song may publish in the future.

Co-authorship network of co-authors of Jung-Han Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jung-Han Song. A scholar is included among the top collaborators of Jung-Han Song 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 Jung-Han Song. Jung-Han Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Nam‐Young, Yu Mi Kim, Parshant Kumar Sharma, et al.. (2025). Reagentless aptamer based on the ultrasensitive and fast response electrochemical capacitive biosensor for EGFR detection in non-small cell lung cancer. Biosensors and Bioelectronics. 278. 117319–117319. 3 indexed citations

Bae, Gihyun, et al.. (2023). Characterization of Formed TRIP1180 Steel Sheet Surface After Stamping with PVD-Coated Tools. Metals and Materials International. 30(2). 425–440. 5 indexed citations

Bae, Gihyun, et al.. (2022). Effect of natural aging time on anisotropic plasticity and fracture limit of Al7075 alloy. Materials Today Communications. 31. 103553–103553. 7 indexed citations

Kim, Minki, et al.. (2022). Efficient Wear Simulation Methodology for Predicting Nonlinear Wear Behavior of Tools in Sheet Metal Forming. Materials. 15(13). 4509–4509. 6 indexed citations

Kim, Minki, et al.. (2022). Quantitative Evaluation of Tool Wear in Cold Stamping of Ultra-High-Strength Steel Sheets. Metals and Materials International. 29(2). 327–342. 12 indexed citations

Park, Namsu, et al.. (2021). Tool Wear Prediction in the Forming of Automotive DP980 Steel Sheet Using Statistical Sensitivity Analysis and Accelerated U-Bending Based Wear Test. Metals. 11(2). 306–306. 12 indexed citations

Song, Jung-Han, et al.. (2020). Quantitative evaluation of experimental wear behaviour for CrN-coated tool steels in sheet metal forming process of TRIP 1180. Procedia Manufacturing. 50. 791–794. 4 indexed citations

Song, Jung-Han, et al.. (2020). Evaluation of Sliding Wear Behaviour for STD11 Coated with TiCN Using the Pin-on-Disk Test. IOP Conference Series Materials Science and Engineering. 967(1). 12061–12061. 1 indexed citations

Bae, Gihyun, Namsu Park, Jung-Han Song, et al.. (2020). Stretch-bending crack simulation for advanced high-strength thick steel sheets considering the contact pressure effect. Procedia Manufacturing. 50. 574–578. 1 indexed citations

10.

Lee, Jae‐Min, et al.. (2018). Effects of the residual stress, interfacial roughness and scale thickness on the spallation of oxide scale grown on hot rolled steel sheet. Materials Science and Engineering A. 739. 301–316. 15 indexed citations

11.

Song, Jung-Han, et al.. (2018). Fracture simulation of cold roll forming process for aluminum 7075-T6 automotive bumper beam using GISSMO damage model. Procedia Manufacturing. 15. 751–758. 22 indexed citations

12.

Lou, Yanshan, Jeong Whan Yoon, Hoon Huh, Chao Qi, & Jung-Han Song. (2018). Correlation of the maximum shear stress with micro-mechanisms of ductile fracture for metals with high strength-to-weight ratio. International Journal of Mechanical Sciences. 146-147. 583–601. 70 indexed citations

13.

Hariharan, K., Sung-Tae Hong, Dae-Yong Kim, et al.. (2017). Electroplastic behaviour in an aluminium alloy and dislocation density based modelling. Materials & Design. 124. 131–142. 91 indexed citations

14.

Song, Jung-Han, et al.. (2017). Effect of Pulsed Currents on the Springback Reduction of Ultra-High Strength Steels. Procedia Engineering. 207. 359–364. 7 indexed citations

15.

Song, Jung-Han, et al.. (2008). DYNAMIC MATERIAL PROPERTIES OF THE HEAT-AFFECTED ZONE (HAZ) IN RESISTANCE SPOT WELDING. International Journal of Modern Physics B. 22(31n32). 5800–5806. 7 indexed citations

16.

Song, Jung-Han, et al.. (2007). Dynamic Constitutive Equations of Auto-Body Steel Sheets with the Variation of Temperature (I) - Dynamic Material Characteristics with the Variation of Temperature -. Transactions of the Korean Society of Mechanical Engineers A. 31(2). 174–181. 1 indexed citations

17.

Huh, Hoon, et al.. (2007). Dynamic tensile characteristics of TRIP-type and DP-type steel sheets for an auto-body. International Journal of Mechanical Sciences. 50(5). 918–931. 192 indexed citations

18.

Song, Jung-Han, et al.. (2006). EVALUATION OF THE FINITE ELEMENT MODELING OF A SPOT WELDED REGION FOR CRASH ANALYSIS. International Journal of Automotive Technology. 14(2). 174–183. 11 indexed citations

19.

Song, Jung-Han, et al.. (2004). Crashworthiness of an Auto-body Member with the Forming Effect. Transactions of Korean Society of Automotive Engineers. 12(1). 91–98. 1 indexed citations

20.

Song, Jung-Han, et al.. (1996). Micromechanical modeling of the dynamic fracture process during rock blasting. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts. 33(4). 387–394. 22 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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