Dan Bee Kim

627 citations
33 papers · 561 · h-index 11

Impact in

Papers in

Dan Bee Kim

31 papers receiving 543 citations

Peers

Dan Bee Kim
Comparison fields: 5 of 69
  • Radiology, Nuclear Medicine and Imaging 383
  • Surfaces, Coatings and Films 51
  • Biotechnology 59
  • Electrical and Electronic Engineering 373
  • Energy Engineering and Power Technology 5
Replace Gaurav Nayak with:
Gaurav Nayak United States
Nishtha Gaur Australia
Yasushi Minamitani Japan
Bogdan Hnatiuc Romania
Ch. R. Wilke Germany
Chenyang Ren China
Zoran Falkenstein United States
Nina Mertens Germany
Satoshi Kitazaki Japan
M. Klas Slovakia
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Citations per field
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Gaurav Nayak · 1×
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201090
2 200783
3 201168
4 201044
5 201541
6 200635
7 200935
8 201131
9 201131
10 201019
11 202214
12 201010
13 20198
14 20126
15 20106
16 20215
17 20175
18 20235
19 20175
20 20164

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, Surfaces, Coatings and Films and Spectroscopy, having authored 33 papers that have together received 561 indexed citations. Recurring topics across this work include Advanced Electrical Measurement Techniques (17 papers), Plasma Applications and Diagnostics (10 papers), Plasma Diagnostics and Applications (9 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 (383 citations), Surfaces, Coatings and Films (51 citations), Biotechnology (59 citations), Electrical and Electronic Engineering (373 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 Bomi Gweon, Wonho Choe, Se Youn Moon, Heesoo Jung, June‐Koo Kevin Rhee, Wonho Choe, Jennifer Hyunjong Shin, Samooel Jung, Hye-Jeong Yun and Cheorun Jo. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Applied Physics Letters, Measurement Science and Technology, Physics of Plasmas and Current Applied Physics.

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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