Deokhee Won

512 citations
54 papers · 387 · h-index 11

Impact in

Papers in

Deokhee Won

45 papers receiving 356 citations

Peers

Deokhee Won
Comparison fields: 5 of 42
  • Ocean Engineering 167
  • Civil and Structural Engineering 223
  • Building and Construction 108
  • Computational Mechanics 154
  • Earth-Surface Processes 46
Replace Mohammad Reza Tabeshpour with:
Mohammad Reza Tabeshpour Iran
Young-Sun Choun South Korea
A. Martín Rodríguez Spain
Shehata E. Abdel Raheem Egypt
Eren Uçkan Türkiye
M. Ziyaeifar Iran
Jiarui Zhang China
Priyaranjan Pal India
Najib Bouaanani Canada
Deokhee Won relative to Mohammad Reza Tabeshpour Iran Mohammad Reza Tabeshpour's profile →
Citations per field
00.5×3.1×
Mohammad Reza Tabeshpour · 1×
Citations per year

Countries citing papers authored by Deokhee Won

Since Specialization
Citations

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

Fields of papers citing papers by Deokhee Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deokhee Won, 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 Deokhee Won Line = papers co-authored together Deokhee Won links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201740
2 201934
3 201429
4 202129
5 202127
6 201824
7 202222
8 202022
9 202215
10 201712
11 201610
12 20218
13 20208
14 20207
15 20186
16 20156
17 20136
18 20196
19 20185
20 20185

About Deokhee Won

Deokhee Won is a scholar working on Civil and Structural Engineering, Ocean Engineering, Building and Construction, Computational Mechanics and Control and Systems Engineering, having authored 54 papers that have together received 387 indexed citations. Recurring topics across this work include Structural Load-Bearing Analysis (18 papers), Wave and Wind Energy Systems (16 papers), Structural Behavior of Reinforced Concrete (15 papers), Fluid Dynamics and Vibration Analysis (11 papers), Structural Engineering and Vibration Analysis (8 papers), Vibration and Dynamic Analysis (8 papers), Coastal and Marine Dynamics (6 papers) and Seismic Performance and Analysis (6 papers). The work is most often cited by research in Ocean Engineering (167 citations), Civil and Structural Engineering (223 citations), Building and Construction (108 citations), Computational Mechanics (154 citations) and Earth-Surface Processes (46 citations). Deokhee Won has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seungjun Kim, Young Jong Kang, Jihye Seo, Woo-Sun Park, Taek Hee Han, Seong-Hwan Kim, Jeong Hwa Lee, Jong-Sup Park, Jeonghwa Lee and Youngjong Kang. Their work appears in journals such as Ocean Engineering, Journal of Coastal Research, Applied Sciences, Journal of Building Engineering and Scientific Reports.

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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