Won‐Kwang Park

1.7k citations
98 papers · 1.2k indexed · h-index 19
Topics
Microwave Imaging and Scattering Analysis (75 papers)Numerical methods in inverse problems (53 papers)Ultrasonics and Acoustic Wave Propagation (51 papers)
Partner nations
South KoreaFranceAustria

In The Last Decade

Won‐Kwang Park

92 papers receiving 1.1k citations

Peers

Won‐Kwang Park
Comparison fields: 5 of 40
  • Biomedical Engineering 804
  • Mechanics of Materials 637
  • Mathematical Physics 598
  • Ocean Engineering 377
  • Electrical and Electronic Engineering 213
Replace Martina T. Bevacqua with:
Martina T. Bevacqua Italy
Songming Hou United States
María-Luisa Rapún Spain
Bernard Duchêne France
Xiuzhu Ye China
Nicolas Valdivia United States
Yongzhi Xu United States
A. K. Gautesen United States
Christophe Hazard France
Matteo Pastorino Italy
Won‐Kwang Park relative to Martina T. Bevacqua Italy Martina T. Bevacqua's profile →
Citations per field
00.5×4.4×
Martina T. Bevacqua · 1×
Citations per year

Countries citing papers authored by Won‐Kwang Park

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Kwang Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won‐Kwang Park

This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Kwang Park. A scholar is included among the top collaborators of Won‐Kwang Park 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 Won‐Kwang Park. Won‐Kwang Park 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
#WorkIndexed citations
1 1
2 0
3 1
4 0
5 2
6 6
7 24
8 20
9 17
10 3
11 9
12 1
13 1
14 12
15 2
16 27
17
SUBSPACE MIGRATION IMAGING OF SMALL PERFECTLY CONDUCTING CRACKS IN THE LIMITED-VIEW INVERSE SCATTERING
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18 18
19
Structure analysis of single- and multi-frequency imaging functions in inverse scattering problems
1
20 50

About Won‐Kwang Park

Won‐Kwang Park is a scholar working on Mathematical Physics, Mechanics of Materials and Ocean Engineering, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microwave Imaging and Scattering Analysis (75 papers), Numerical methods in inverse problems (53 papers) and Ultrasonics and Acoustic Wave Propagation (51 papers). The work is most often cited by research in Mathematical Physics (598 citations), Mechanics of Materials (637 citations) and Ocean Engineering (377 citations). Won‐Kwang Park has collaborated with scholars based in South Korea, France and Austria. Frequent co-authors include Dominique Lesselier, Habib Ammari, Josselin Garnier, Knut Sølna, Hong Suk Kang, Hyundae Lee, Hyeonbae Kang, Seong‐Ho Son, Marc Lambert and Kwang‐Jae Lee. Their work appears in journals such as Journal of Computational Physics, IEEE Access and Computer Physics Communications.

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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