Jun Won Kang

438 citations
45 papers · 343 · h-index 11

Impact in

    • Innovative concrete reinforcement materials
    • Concrete and Cement Materials Research
  • Geophysics top 10%
    • Seismic Imaging and Inversion Techniques
    • Seismic Waves and Analysis

Papers in

Jun Won Kang

40 papers receiving 321 citations

Peers

Jun Won Kang
Comparison fields: 5 of 51
  • Civil and Structural Engineering 168
  • Geophysics 102
  • Ocean Engineering 88
  • Building and Construction 53
  • Mechanics of Materials 73
Replace Artur Guzik with:
Artur Guzik Japan
A. Castellani Italy
Cristian Dascalu France
Emmanuel Roubin France
Weihua Li China
А.Б. Киселев Russia
Keng‐Wit Lim United States
Jean-Marie Hénault France
Jia-He Lv China
G. W. Singapore
Jun Won Kang relative to Artur Guzik Japan Artur Guzik's profile →
Citations per field
00.5×3.1×
Artur Guzik · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Won Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Won Kang Line = papers co-authored together Jun Won Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201739
2 200930
3 201929
4 201028
5 201021
6 201817
7 201515
8 201414
9 201913
10 199411
11 201210
12 20189
13 20218
14 20148
15 20197
16 20167
17 20107
18 20187
19 20106
20 20206

About Jun Won Kang

Jun Won Kang is a scholar working on Civil and Structural Engineering, Geophysics, Ocean Engineering, Building and Construction and Electrical and Electronic Engineering, having authored 45 papers that have together received 343 indexed citations. Recurring topics across this work include Geophysical Methods and Applications (12 papers), Seismic Imaging and Inversion Techniques (11 papers), Structural Behavior of Reinforced Concrete (10 papers), Structural Response to Dynamic Loads (8 papers), Seismic Waves and Analysis (8 papers), Electromagnetic Simulation and Numerical Methods (7 papers), Fire effects on concrete materials (5 papers) and Numerical methods in inverse problems (4 papers). The work is most often cited by research in Civil and Structural Engineering (168 citations), Geophysics (102 citations), Ocean Engineering (88 citations), Building and Construction (53 citations) and Mechanics of Materials (73 citations). Jun Won Kang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Loukas F. Kallivokas, Hee Seok Kim, Hyun‐Moo Koh, Young Jin Kim, Tong‐Seok Han, Seong‐Hoon Kee, Seung Oh Lee, Young Geun Lee, Sun‐Hee Kim and Joon-Seok Park. Their work appears in journals such as Sensors, STRUCTURAL ENGINEERING AND MECHANICS, Inverse Problems in Science and Engineering, Materials and Applied Mathematical Modelling.

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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