Jun-Seok Cha

521 citations
17 papers · 421 · h-index 12

Impact in

Papers in

Jun-Seok Cha

16 papers receiving 402 citations

Peers

Jun-Seok Cha
Comparison fields: 5 of 73
  • Automotive Engineering 181
  • Fluid Flow and Transfer Processes 90
  • Health, Toxicology and Mutagenesis 183
  • Process Chemistry and Technology 35
  • Environmental Engineering 76
Replace Jakub Lasocki with:
Jakub Lasocki Poland
David C. Quiros United States
Liuhanzi Yang China
Bruce Organ Australia
Simone Casadei Italy
Ingrid Sundvor Norway
Davide Faedo Italy
Oyetunji Babatunde Okedere Nigeria
Theodoros Tzamkiozis Greece
Han Jiang China
Jun-Seok Cha relative to Jakub Lasocki Poland Jakub Lasocki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun-Seok Cha

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Seok Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Seok Cha. 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 Jun-Seok Cha. The network helps show where Jun-Seok Cha may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2016109
2 201461
3 201750
4 201935
5 201533
6 201425
7 201419
8 201418
9 201517
10 200617
11 201511
12 200911
13 20204
14 20074
15 20083
16
Analysis of mercury and methylmercury in river sediment samples
20092
17 20082

About Jun-Seok Cha

Jun-Seok Cha is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering, Atmospheric Science, Pollution and Fluid Flow and Transfer Processes, having authored 17 papers that have together received 421 indexed citations. Recurring topics across this work include Vehicle emissions and performance (6 papers), Air Quality and Health Impacts (5 papers), Atmospheric chemistry and aerosols (4 papers), Advanced Combustion Engine Technologies (3 papers), Advanced Chemical Sensor Technologies (2 papers), Air Quality Monitoring and Forecasting (2 papers), Indoor Air Quality and Microbial Exposure (2 papers) and Mercury impact and mitigation studies (2 papers). The work is most often cited by research in Automotive Engineering (181 citations), Fluid Flow and Transfer Processes (90 citations), Health, Toxicology and Mutagenesis (183 citations), Process Chemistry and Technology (35 citations) and Environmental Engineering (76 citations). Jun-Seok Cha has collaborated with scholars based in South Korea, Fiji and Australia. Frequent co-authors include Jin‐Seok Han, Chang‐Keun Song, Sangil Kwon, Junhong Park, Cheol-Soo Lim, Jae‐Hyun Lim, Ji‐Hyung Hong, Wooseok Lee, Jae-Bum Lee and Suejin Kim. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Environmental Management, Journal of Hazardous Materials, Scientific Reports and Atmospheric Environment.

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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