P. Lee

505 total citations
9 papers, 357 citations indexed

About

P. Lee is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, P. Lee has authored 9 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 5 papers in Health, Toxicology and Mutagenesis and 4 papers in Environmental Engineering. Recurrent topics in P. Lee's work include Atmospheric chemistry and aerosols (7 papers), Air Quality and Health Impacts (5 papers) and Air Quality Monitoring and Forecasting (4 papers). P. Lee is often cited by papers focused on Atmospheric chemistry and aerosols (7 papers), Air Quality and Health Impacts (5 papers) and Air Quality Monitoring and Forecasting (4 papers). P. Lee collaborates with scholars based in United States, Malaysia and China. P. Lee's co-authors include Daniel Tong, Hyun Cheol Kim, Dan Mo, Tao Wang, Youhua Tang, Yunsoo Choi, Jeff McQueen, Georg Grell, S. A. McKeen and Steven E. Peckham and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Atmospheric Environment and Atmospheric chemistry and physics.

In The Last Decade

P. Lee

9 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. Lee United States	7	293	191	161	139	24	9	357
Xiaoxian Huang China	7	367 1.3×	243 1.3×	272 1.7×	154 1.1×	12 0.5×	8	452
Sahidul Islam India	10	212 0.7×	113 0.6×	251 1.6×	144 1.0×	11 0.5×	28	357
Cheng Yuan China	11	369 1.3×	184 1.0×	287 1.8×	99 0.7×	6 0.3×	14	430
Usman Mazhar China	9	221 0.8×	129 0.7×	247 1.5×	106 0.8×	13 0.5×	15	352
Haofei Wang China	11	281 1.0×	100 0.5×	249 1.5×	72 0.5×	16 0.7×	24	360
Yuhong Guo China	10	275 0.9×	183 1.0×	177 1.1×	46 0.3×	50 2.1×	19	320
Changqin Yin China	10	383 1.3×	223 1.2×	236 1.5×	151 1.1×	8 0.3×	15	441
Y. Q. Yang China	6	310 1.1×	148 0.8×	254 1.6×	56 0.4×	67 2.8×	10	357
H. L. Liu China	8	423 1.4×	188 1.0×	370 2.3×	69 0.5×	67 2.8×	10	482

Countries citing papers authored by P. Lee

Since Specialization

Citations

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

Fields of papers citing papers by P. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of P. Lee. A scholar is included among the top collaborators of P. 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 P. Lee. P. 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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9 of 9 papers shown

Chan, Mieow Kee, et al.. (2024). Enhancing sustainability in sewage treatment: A least squares support vector regression-based modeling approach for optimizing regeneration conditions of iFeCu. Journal of Water Process Engineering. 64. 105694–105694. 5 indexed citations

Kim, Hyun Cheol, et al.. (2015). Evaluation of modeled surface ozone biases as a function of cloud cover fraction. Geoscientific model development. 8(9). 2959–2965. 11 indexed citations

Chai, Tianfeng, Hyun Cheol Kim, P. Lee, et al.. (2013). Evaluation of the United States National Air Quality Forecast Capability experimental real-time predictions in 2010 using Air Quality System ozone and NO ₂ measurements. Geoscientific model development. 6(5). 1831–1850. 64 indexed citations

Tong, Daniel, Dan Mo, Tao Wang, & P. Lee. (2012). Long-term dust climatology in the western United States reconstructed from routine aerosol ground monitoring. Atmospheric chemistry and physics. 12(11). 5189–5205. 75 indexed citations

Choi, Yunsoo, Hyun Cheol Kim, Daniel Tong, & P. Lee. (2012). Summertime weekly cycles of observed and modeled NO _x and O ₃ concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States. Atmospheric chemistry and physics. 12(14). 6291–6307. 62 indexed citations

Djalalova, Irina V., James M. Wilczak, S. A. McKeen, et al.. (2009). Ensemble and bias-correction techniques for air quality model forecasts of surface O3 and PM2.5 during the TEXAQS-II experiment of 2006. Atmospheric Environment. 44(4). 455–467. 57 indexed citations

Edwards, D.J., et al.. (2007). DNA-MAN: Dynamic Natural Attributes for Synthetic Military Forces. 1–5. 5 indexed citations

Pagowski, Mariusz, Georg Grell, D. Dévényi, et al.. (2006). Application of dynamic linear regression to improve the skill of ensemble-based deterministic ozone forecasts. Atmospheric Environment. 40(18). 3240–3250. 32 indexed citations

Wilczak, James M., S. A. McKeen, Irina V. Djalalova, et al.. (2006). Bias‐corrected ensemble and probabilistic forecasts of surface ozone over eastern North America during the summer of 2004. Journal of Geophysical Research Atmospheres. 111(D23). 46 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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