Oh‐Heum Kwon

32 papers receiving 496 citations

Peers

Oh‐Heum Kwon
Comparison fields: 5 of 73
  • Metals and Alloys 24
  • Mechanics of Materials 177
  • Mechanical Engineering 264
  • Computer Vision and Pattern Recognition 92
  • Materials Chemistry 197
Replace Mo Zhao with:
Mo Zhao China
Changchun Zhang China
Jun-Hyub Park South Korea
Changqing Xia China
Zhuoyuan Li China
Sichao Fu China
Shuai Shao China
Qi Hu China
Minseok Kim Japan
Xin Huo China
Oh‐Heum Kwon relative to Mo Zhao China Mo Zhao's profile →
Citations per field
00.5×5.7×
Mo Zhao · 1×
Citations per year

Countries citing papers authored by Oh‐Heum Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Oh‐Heum Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oh‐Heum Kwon. 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 Oh‐Heum Kwon. The network helps show where Oh‐Heum Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991143
2 199772
3 201870
4 199035
5 200732
6 198322
7 201917
8 201015
9 201813
10 201812
11 199511
12 200811
13 202410
14 20189
15 20169
16 20196
17 20066
18 20185
19 20193
20 20123

About Oh‐Heum Kwon

Oh‐Heum Kwon is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications and Ocean Engineering, having authored 35 papers that have together received 525 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (8 papers), Underwater Vehicles and Communication Systems (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Microstructure and Mechanical Properties of Steels (4 papers), Cell Image Analysis Techniques (4 papers), 3D Shape Modeling and Analysis (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Metals and Alloys (24 citations), Mechanics of Materials (177 citations), Mechanical Engineering (264 citations), Computer Vision and Pattern Recognition (92 citations) and Materials Chemistry (197 citations). Oh‐Heum Kwon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Anthony J. DeArdo, Ha-Joo Song, Ki‐Ryong Kwon, Suk‐Hwan Lee, K.B. Kang, C.G. Park, Kyung-Won Kang, Thanh Tran, W. V. Youdelis and Kyung‐Yong Chwa. Their work appears in journals such as Electronics, IEEE Transactions on Parallel and Distributed Systems, Symmetry, Networks and Scripta Materialia.

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.

Explore authors with similar magnitude of impact