Dan Bee Kim

503 citations
31 papers · 430 · h-index 10

Impact in

Papers in

Dan Bee Kim

30 papers receiving 408 citations

Peers

Dan Bee Kim
Comparison fields: 5 of 62
  • Radiology, Nuclear Medicine and Imaging 265
  • Electrical and Electronic Engineering 309
  • Biotechnology 45
  • Surfaces, Coatings and Films 34
  • Energy Engineering and Power Technology 5
Replace T. Huiskamp with:
T. Huiskamp Netherlands
Bogdan Hnatiuc Romania
Yasushi Minamitani Japan
Ch. Wilke Germany
Satoshi Kitazaki Japan
Cordula Meyer Germany
Sung-Young Yoon South Korea
Shailesh Gangoli United States
Ashish Sharma United States
Leandro Prevosto Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Dan Bee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dan Bee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Bee Kim. 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 Dan Bee Kim. The network helps show where Dan Bee Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201082
2 200781
3 201541
4 200636
5 200935
6 201130
7 201128
8 201019
9 202211
10 201010
11 20106
12 20126
13 20196
14 20175
15 20215
16 20175
17 20234
18 20164
19 20242
20 20232

About Dan Bee Kim

Dan Bee Kim is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 31 papers that have together received 430 indexed citations. Recurring topics across this work include Advanced Electrical Measurement Techniques (17 papers), Plasma Applications and Diagnostics (9 papers), Plasma Diagnostics and Applications (7 papers), Sensor Technology and Measurement Systems (6 papers), Power Quality and Harmonics (5 papers), Advancements in PLL and VCO Technologies (5 papers), Microwave and Dielectric Measurement Techniques (4 papers) and Aerosol Filtration and Electrostatic Precipitation (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (265 citations), Electrical and Electronic Engineering (309 citations), Biotechnology (45 citations), Surfaces, Coatings and Films (34 citations) and Energy Engineering and Power Technology (5 citations). Dan Bee Kim has collaborated with scholars based in South Korea, Italy and Czechia. Frequent co-authors include Wonho Choe, Bomi Gweon, Se Youn Moon, J. K. Rhee, Heesoo Jung, Wonho Choe, Cheorun Jo, Zbigniew A. Kruk, Samooel Jung and Binna Kim. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Measurement Science and Technology, Physics of Plasmas, Current Applied Physics and Applied Physics Letters.

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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