Soon-Bark Kwon

74 papers receiving 1.4k citations

Peers

Soon-Bark Kwon
Comparison fields: 5 of 114
  • Health, Toxicology and Mutagenesis 596
  • Automotive Engineering 442
  • Environmental Engineering 457
  • Speech and Hearing 71
  • Atmospheric Science 204
Replace Yu–Hsiang Cheng with:
Yu–Hsiang Cheng Taiwan
Mats Bohgard Sweden
Farhad Salimi Australia
Mauro Scungio Italy
Tracy L. Thatcher United States
Neyval Costa Reis Brazil
Amir A. Aliabadi Canada
L.E. Sparks United States
Franco Belosi Italy
Wen-Yinn Lin Taiwan
Soon-Bark Kwon relative to Yu–Hsiang Cheng Taiwan Yu–Hsiang Cheng's profile →
Citations per field
00.5×1.5×
Yu–Hsiang Cheng · 1×
Citations per year

Countries citing papers authored by Soon-Bark Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Soon-Bark Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon-Bark 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 Soon-Bark Kwon. The network helps show where Soon-Bark Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012169
2 2017150
3 2015101
4 201683
5 201678
6 200360
7 200360
8 200456
9 200849
10 201339
11 201437
12 201634
13 200534
14 201332
15 201032
16 201926
17 200225
18 200124
19 201222
20 201619

About Soon-Bark Kwon

Soon-Bark Kwon is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering, Computational Mechanics and Atmospheric Science, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Vehicle emissions and performance (27 papers), Air Quality and Health Impacts (24 papers), Aerosol Filtration and Electrostatic Precipitation (14 papers), Atmospheric chemistry and aerosols (12 papers), Aerodynamics and Fluid Dynamics Research (11 papers), Education, Safety, and Science Studies (9 papers), Cyclone Separators and Fluid Dynamics (8 papers) and Air Quality Monitoring and Forecasting (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (596 citations), Automotive Engineering (442 citations), Environmental Engineering (457 citations), Speech and Hearing (71 citations) and Atmospheric Science (204 citations). Soon-Bark Kwon has collaborated with scholars based in South Korea, Japan and Spain. Frequent co-authors include Duckshin Park, Youngmin Cho, Kyung Hwa Cho, Ki‐Tae Kim, Takafumi Seto, Sechan Park, K.W. Lee, Wootae Jeong, Chungyoon Chun and K.S. Lim. Their work appears in journals such as Journal of Aerosol Science, Aerosol Science and Technology, Environmental Science & Technology, Environmental Monitoring and Assessment and Wear.

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