Joo Wan Cha

763 citations
45 papers · 428 · h-index 11

Impact in

Papers in

    • Atmospheric chemistry and aerosols 8
    • Precipitation Measurement and Analysis 3
    • Meteorological Phenomena and Simulations 2
    • Atmospheric aerosols and clouds 14
    • Hydrology and Drought Analysis 1

Joo Wan Cha

44 papers receiving 385 citations

Peers

Joo Wan Cha
Comparison fields: 5 of 23
  • Atmospheric Science 114
  • Environmental Engineering 72
  • Global and Planetary Change 82
  • Health, Toxicology and Mutagenesis 10
  • Process Chemistry and Technology 1
Replace Isabel Martínez Marco with:
Isabel Martínez Marco Spain
Xinghong Cheng China
Ian Sykes United States
Michal Žák Czechia
Muritala A. Ayoola Nigeria
Xu Guan China
Dominique Bäumer Germany
Yize Jiang China
Yulei Chi China
A. Salcido Mexico
Joo Wan Cha relative to Isabel Martínez Marco Spain Isabel Martínez Marco's profile →
Citations per field
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Isabel Martínez Marco · 1×
Citations per year

Countries citing papers authored by Joo Wan Cha

Since Specialization
Citations

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

Fields of papers citing papers by Joo Wan Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joo Wan 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 Joo Wan Cha. The network helps show where Joo Wan Cha may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202269
2 200952
3 202228
4 202127
5 202216
6 201715
7 202114
8 202214
9 202013
10 201612
11 202012
12 201811
13 202011
14 201010
15 201810
16 201910
17 202010
18 20169
19 20189
20 20227

About Joo Wan Cha

Joo Wan Cha is a scholar working on Atmospheric Science, Global and Planetary Change, Environmental Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 45 papers that have together received 428 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (14 papers), Atmospheric chemistry and aerosols (8 papers), Precipitation Measurement and Analysis (3 papers), Air Quality Monitoring and Forecasting (3 papers), Meteorological Phenomena and Simulations (2 papers) and Hydrology and Drought Analysis (1 paper). The work is most often cited by research in Atmospheric Science (114 citations), Environmental Engineering (72 citations), Global and Planetary Change (82 citations), Health, Toxicology and Mutagenesis (10 citations) and Process Chemistry and Technology (1 citation). Joo Wan Cha has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Bu-Yo Kim, Seong Soo Yum, Ki-Ho Chang, Chulkyu Lee, Sang‐Boom Ryoo, Jeong-Eun Kim, Ju‐Young Shin, Kyu Rang Kim, Jong-Chul Ha and Chang‐Hee Kang. Their work appears in journals such as Remote Sensing, Atmosphere, Atmospheric measurement techniques, Advances in Atmospheric Sciences and Atmospheric chemistry and 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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