Jun Won Kang

438 total citations
45 papers, 343 citations indexed

About

Jun Won Kang is a scholar working on Civil and Structural Engineering, Geophysics and Ocean Engineering. According to data from OpenAlex, Jun Won Kang has authored 45 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Civil and Structural Engineering, 16 papers in Geophysics and 12 papers in Ocean Engineering. Recurrent topics in Jun Won Kang's work include Geophysical Methods and Applications (12 papers), Seismic Imaging and Inversion Techniques (11 papers) and Structural Behavior of Reinforced Concrete (10 papers). Jun Won Kang is often cited by papers focused on Geophysical Methods and Applications (12 papers), Seismic Imaging and Inversion Techniques (11 papers) and Structural Behavior of Reinforced Concrete (10 papers). Jun Won Kang collaborates with scholars based in South Korea, United States and China. Jun Won Kang's co-authors include Loukas F. Kallivokas, Hyun‐Moo Koh, Hee Seok Kim, Young Jin Kim, Seong‐Hoon Kee, Tong‐Seok Han, Seung Oh Lee, Young Geun Lee, Eunsoo Choi and Sun‐Hee Kim and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Sensors.

In The Last Decade

Jun Won Kang

40 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Won Kang South Korea 11 168 102 88 73 58 45 343
Weihua Li China 11 162 1.0× 103 1.0× 33 0.4× 49 0.7× 79 1.4× 32 342
A. Castellani Italy 11 197 1.2× 197 1.9× 233 2.6× 19 0.3× 57 1.0× 34 415
Artur Guzik Japan 13 109 0.6× 140 1.4× 175 2.0× 73 1.0× 203 3.5× 33 456
Jean-Marie Hénault France 11 291 1.7× 44 0.4× 62 0.7× 80 1.1× 232 4.0× 30 462
А.Б. Киселев Russia 11 88 0.5× 32 0.3× 44 0.5× 142 1.9× 21 0.4× 37 532
Jahir Pabon United States 11 92 0.5× 111 1.1× 194 2.2× 70 1.0× 22 0.4× 23 347
Keng‐Wit Lim United States 11 301 1.8× 31 0.3× 46 0.5× 201 2.8× 71 1.2× 15 571
Sebastian Chruscicki Germany 7 113 0.7× 61 0.6× 50 0.6× 59 0.8× 237 4.1× 14 338
Emmanuel Roubin France 13 216 1.3× 20 0.2× 71 0.8× 332 4.5× 16 0.3× 24 499
Jia-He Lv China 11 102 0.6× 18 0.2× 57 0.6× 269 3.7× 96 1.7× 41 382

Countries citing papers authored by Jun Won Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Won Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Won Kang. 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 Jun Won Kang. The network helps show where Jun Won Kang may publish in the future.

Co-authorship network of co-authors of Jun Won Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Won Kang. A scholar is included among the top collaborators of Jun Won Kang 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 Jun Won Kang. Jun Won Kang 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.
Kang, Jun Won, et al.. (2025). Two-dimensional characterization of railway subgrade using full-waveform inversion of elastic waves. International Journal of Rail Transportation. 1–31. 1 indexed citations
2.
Kang, Jun Won, et al.. (2024). Effect of Pot Bearing Aging on the Seismic Response of a Three-span Continuous Girder Bridge. Journal of the Computational Structural Engineering Institute of Korea. 37(4). 251–258.
3.
Kang, Jun Won, et al.. (2024). Time domain modeling of elastic waves using a stress-based unsplit-field perfectly matched layer with enhanced numerical stability. Applied Mathematical Modelling. 128. 431–449. 4 indexed citations
4.
Kang, Jun Won, et al.. (2023). Structural Fire Analysis of a Composite Beam Protected by Fire-Resistant Materials. Journal of the Computational Structural Engineering Institute of Korea. 36(2). 137–145. 1 indexed citations
5.
Kang, Jun Won, et al.. (2023). Implicit neural visual representation compression of 3D scenes. 101–101. 1 indexed citations
6.
Kang, Jun Won, et al.. (2021). Elastic Wave Propagation in Nuclear Power Plant Containment Building Walls Considering Liner Plate and Concrete Cavity. Journal of the Computational Structural Engineering Institute of Korea. 34(3). 167–174.
7.
8.
Kim, Young Jin, et al.. (2019). Experimental Validation of Slip-Forming Using Ultrasonic Sensors. Sensors. 19(22). 5053–5053. 2 indexed citations
9.
Kang, Jun Won, et al.. (2019). Methodology for Evaluation of Residual Stress Effect on Small Corner-Crack Initiation and Growth. Materials. 12(18). 2904–2904. 2 indexed citations
10.
Kang, Jun Won, et al.. (2019). Construction of virtual interfacial transition zone (ITZ) samples of hydrated cement paste using extended stochastic optimization. Cement and Concrete Composites. 102. 84–93. 29 indexed citations
11.
Kang, Jun Won, et al.. (2018). A correction method for objective seismic damage index of reinforced concrete columns. Computers and Concrete, an International Journal. 21(6). 741.
12.
Lee, Seung Oh, et al.. (2018). Flow-induced vibration of a radial gate at various opening heights. Engineering Applications of Computational Fluid Mechanics. 12(1). 567–583. 17 indexed citations
13.
Kang, Jun Won, et al.. (2018). A Numerical Study on the Thermo-mechanical Response of a Composite Beam Exposed to Fire. International Journal of Steel Structures. 18(4). 1177–1190. 9 indexed citations
14.
Kang, Jun Won, et al.. (2017). A Gauss–Newton full-waveform inversion in PML-truncated domains using scalar probing waves. Journal of Computational Physics. 350. 824–846. 3 indexed citations
15.
Kim, Young Jin, et al.. (2017). Evaluation of Early-Age Concrete Compressive Strength with Ultrasonic Sensors. Sensors. 17(8). 1817–1817. 39 indexed citations
16.
Kang, Jun Won, et al.. (2015). A Gauss–Newton full-waveform inversion for material profile reconstruction in viscoelastic semi-infinite solid media. Inverse Problems in Science and Engineering. 24(3). 393–421. 15 indexed citations
17.
Kang, Jun Won, et al.. (2014). Hybrid perfectly-matched-layers for transient simulation of scalar elastic waves. STRUCTURAL ENGINEERING AND MECHANICS. 51(4). 685–705. 5 indexed citations
18.
Kang, Jun Won, et al.. (2013). Performance Evaluation of a Time-domain Gauss-Newton Full-waveform Inversion Method. Journal of the Computational Structural Engineering Institute of Korea. 26(4). 223–231. 1 indexed citations
19.
Kang, Jun Won & Loukas F. Kallivokas. (2010). The inverse medium problem in 1D PML-truncated heterogeneous semi-infinite domains. Inverse Problems in Science and Engineering. 18(6). 759–786. 21 indexed citations
20.
Kang, Jun Won & Loukas F. Kallivokas. (2009). Mixed unsplit-field perfectly matched layers for transient simulations of scalar waves in heterogeneous domains. Computational Geosciences. 14(4). 623–648. 30 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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2026