Youngbo Won

404 citations
13 papers · 313 · h-index 9

Impact in

Papers in

Youngbo Won

13 papers receiving 310 citations

Peers

Youngbo Won
Comparison fields: 5 of 50
  • Health, Toxicology and Mutagenesis 235
  • Environmental Engineering 121
  • Atmospheric Science 76
  • Process Chemistry and Technology 12
  • Building and Construction 32
Replace Jinglin Jiang with:
Jinglin Jiang United States
Emily Reidy United States
Shannon Cowlin United States
Daniel Aubin Canada
Mark A. Mason United States
Aristeidis Voliotis United Kingdom
Vincent Gaudion France
Wyatt L. Brown United States
Christian Mark Salvador Sweden
C. M. Elsworth Australia
Youngbo Won relative to Jinglin Jiang United States Jinglin Jiang's profile →
Citations per field
00.5×
Jinglin Jiang · 1×
Citations per year

Countries citing papers authored by Youngbo Won

Since Specialization
Citations

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

Fields of papers citing papers by Youngbo Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youngbo Won. 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 Youngbo Won. The network helps show where Youngbo Won may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202272
2 201966
3 202137
4 201737
5 201936
6 202019
7 201919
8 202410
9 20239
10 20253
11 20242
12 20232
13
Computational fluid dynamics (CFD) modeling indoor chemical reactions under varied lighting and HVAC operation conditions
20191

About Youngbo Won

Youngbo Won is a scholar working on Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Building and Construction, Environmental Engineering and Conservation, having authored 13 papers that have together received 313 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (10 papers), Indoor Air Quality and Microbial Exposure (9 papers), Infection Control and Ventilation (7 papers), Building Energy and Comfort Optimization (5 papers), Air Quality Monitoring and Forecasting (2 papers), Conservation Techniques and Studies (1 paper), Advanced Chemical Sensor Technologies (1 paper) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (235 citations), Environmental Engineering (121 citations), Atmospheric Science (76 citations), Process Chemistry and Technology (12 citations) and Building and Construction (32 citations). Youngbo Won has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Donghyun Rim, Manabu Shiraiwa, Pascale S. J. Lakey, Glenn Morrison, Michael von Domaros, Douglas J. Tobias, Michael S. Waring, Elliott T. Gall, Gabriel Bekö and Charles J. Weschler. Their work appears in journals such as Communications Chemistry, Environmental Science & Technology, Environmental Science Processes & Impacts, Science and Technology for the Built Environment and Indoor Air.

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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