Eon S. Lee

665 total citations
18 papers, 534 citations indexed

About

Eon S. Lee is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering and Environmental Engineering. According to data from OpenAlex, Eon S. Lee has authored 18 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 12 papers in Automotive Engineering and 7 papers in Environmental Engineering. Recurrent topics in Eon S. Lee's work include Air Quality and Health Impacts (16 papers), Vehicle emissions and performance (12 papers) and Air Quality Monitoring and Forecasting (6 papers). Eon S. Lee is often cited by papers focused on Air Quality and Health Impacts (16 papers), Vehicle emissions and performance (12 papers) and Air Quality Monitoring and Forecasting (6 papers). Eon S. Lee collaborates with scholars based in United States, China and Canada. Eon S. Lee's co-authors include Yifang Zhu, David C. Quiros, Rui Wang, Junjie Liu, Fei Li, Liqiao Li, Suzanne E. Paulson, Tao Huai, Shaohua Hu and Won‐Sik Choi and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Applied Physiology.

In The Last Decade

Eon S. Lee

18 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eon S. Lee United States	13	364	224	200	85	72	18	534
Peng Wei China	13	337 0.9×	149 0.7×	380 1.9×	24 0.3×	88 1.2×	27	651
Shi Shu United States	14	254 0.7×	83 0.4×	98 0.5×	51 0.6×	32 0.4×	24	480
Davide Campagnolo Italy	16	402 1.1×	183 0.8×	290 1.4×	52 0.6×	28 0.4×	35	550
Farzan Oroumiyeh United States	7	332 0.9×	191 0.9×	103 0.5×	20 0.2×	38 0.5×	10	467
Peter Steigmeier Switzerland	7	286 0.8×	117 0.5×	187 0.9×	52 0.6×	68 0.9×	9	397
Ka-Chun Wong Hong Kong	7	365 1.0×	194 0.9×	320 1.6×	42 0.5×	66 0.9×	10	544
Bjarke Mølgaard Finland	8	167 0.5×	125 0.6×	84 0.4×	17 0.2×	19 0.3×	12	293
Steven J. Nabinger United States	10	196 0.5×	16 0.1×	158 0.8×	50 0.6×	28 0.4×	16	332
José de Jesús Figueroa-Lara Mexico	7	241 0.7×	133 0.6×	104 0.5×	32 0.4×	10 0.1×	13	342

Countries citing papers authored by Eon S. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Eon S. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eon S. Lee. 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 Eon S. Lee. The network helps show where Eon S. Lee may publish in the future.

Co-authorship network of co-authors of Eon S. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Eon S. Lee. A scholar is included among the top collaborators of Eon S. Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eon S. Lee. Eon S. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Lee, Eon S., et al.. (2023). Tracer-Gas-Integrated Measurements of Brake-Wear Particulate Matter Emissions from Heavy-Duty Vehicles. Environmental Science & Technology. 57(42). 15968–15978. 5 indexed citations

Li, Liqiao, et al.. (2020). Effects of propylene glycol, vegetable glycerin, and nicotine on emissions and dynamics of electronic cigarette aerosols. Aerosol Science and Technology. 54(11). 1270–1281. 44 indexed citations

Ji, Eoon Hye, Wei Chen, Li Cui, et al.. (2019). E-cigarette aerosols induce unfolded protein response in normal human oral keratinocytes. Journal of Cancer. 10(27). 6915–6924. 12 indexed citations

Shao, Xuesi M., Siyu Liu, Eon S. Lee, et al.. (2018). Chronic intermittent nicotine delivery via lung alveolar region-targeted aerosol technology produces circadian pharmacokinetics in rats resembling human smokers. Journal of Applied Physiology. 125(5). 1555–1562. 8 indexed citations

Lee, Eon S., Yifang Zhu, Won‐Sik Choi, et al.. (2018). Effectiveness of vegetation and sound wall-vegetation combination barriers on pollution dispersion from freeways under early morning conditions. The Science of The Total Environment. 658. 1549–1558. 41 indexed citations

Wang, Tianyang, David C. Quiros, Arvind Thiruvengadam, et al.. (2017). Total Particle Number Emissions from Modern Diesel, Natural Gas, and Hybrid Heavy-Duty Vehicles During On-Road Operation. Environmental Science & Technology. 51(12). 6990–6998. 27 indexed citations

Li, Fei, Eon S. Lee, Bin Zhou, Junjie Liu, & Yifang Zhu. (2017). Effects of the window openings on the micro-environmental condition in a school bus. Atmospheric Environment. 167. 434–443. 26 indexed citations

Lee, Eon S., et al.. (2017). Field evaluation of vegetation and noise barriers for mitigation of near-freeway air pollution under variable wind conditions. Atmospheric Environment. 175. 92–99. 44 indexed citations

Shi, Shanshan, Shihao Zhu, Eon S. Lee, Bin Zhao, & Yifang Zhu. (2016). Performance of wearable ionization air cleaners: Ozone emission and particle removal. Aerosol Science and Technology. 50(3). 211–221. 22 indexed citations

10.

Li, Fei, Eon S. Lee, Junjie Liu, & Yifang Zhu. (2015). Predicting self-pollution inside school buses using a CFD and multi-zone coupled model. Atmospheric Environment. 107. 16–23. 27 indexed citations

11.

Lee, Eon S., Michael K. Stenstrom, & Yifang Zhu. (2015). Ultrafine particle infiltration into passenger vehicles. Part I: Experimental evidence. Transportation Research Part D Transport and Environment. 38. 156–165. 13 indexed citations

12.

Lee, Eon S., et al.. (2015). Evaluation of a High Efficiency Cabin Air (HECA) Filtration System for Reducing Particulate Pollutants Inside School Buses. Environmental Science & Technology. 49(6). 3358–3365. 45 indexed citations

13.

Lee, Eon S. & Yifang Zhu. (2014). Application of a High-Efficiency Cabin Air Filter for Simultaneous Mitigation of Ultrafine Particle and Carbon Dioxide Exposures Inside Passenger Vehicles. Environmental Science & Technology. 48(4). 2200116381–2200116381. 54 indexed citations

14.

Lee, Eon S., Michael K. Stenstrom, & Yifang Zhu. (2014). Ultrafine particle infiltration into passenger vehicles. Part II: Model analysis. Transportation Research Part D Transport and Environment. 38. 144–155. 12 indexed citations

15.

Quiros, David C., Shaohua Hu, Shishan Hu, et al.. (2014). Particle effective density and mass during steady-state operation of GDI, PFI, and diesel passenger cars. Journal of Aerosol Science. 83. 39–54. 64 indexed citations

16.

Quiros, David C., Eon S. Lee, Rui Wang, & Yifang Zhu. (2013). Ultrafine particle exposures while walking, cycling, and driving along an urban residential roadway. Atmospheric Environment. 73. 185–194. 67 indexed citations

17.

Lee, Eon S., Bin Xu, & Yifang Zhu. (2012). Measurements of ultrafine particles carrying different number of charges in on- and near-freeway environments. Atmospheric Environment. 60. 564–572. 18 indexed citations

18.

Lee, Eon S., Andrea Polidori, Michael Koch, et al.. (2012). Water-based condensation particle counters comparison near a major freeway with significant heavy-duty diesel traffic. Atmospheric Environment. 68. 151–161. 5 indexed citations

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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