Pius Lee

2.3k total citations
62 papers, 1.2k citations indexed

About

Pius Lee is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Pius Lee has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Atmospheric Science, 40 papers in Global and Planetary Change and 28 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Pius Lee's work include Atmospheric chemistry and aerosols (54 papers), Air Quality and Health Impacts (28 papers) and Atmospheric and Environmental Gas Dynamics (24 papers). Pius Lee is often cited by papers focused on Atmospheric chemistry and aerosols (54 papers), Air Quality and Health Impacts (28 papers) and Atmospheric and Environmental Gas Dynamics (24 papers). Pius Lee collaborates with scholars based in United States, China and Austria. Pius Lee's co-authors include Daniel Tong, Hyun Cheol Kim, Li Pan, Youhua Tang, Tianfeng Chai, Ivanka Štajner, Rick Saylor, Fong Ngan, Lok N. Lamsal and Barry Baker and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric Environment.

In The Last Decade

Pius Lee

62 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pius Lee United States 25 1.0k 721 623 374 88 62 1.2k
Ximeng Qi China 17 1.2k 1.1× 697 1.0× 835 1.3× 245 0.7× 98 1.1× 51 1.3k
Xueshun Chen China 23 1.0k 1.0× 621 0.9× 874 1.4× 373 1.0× 118 1.3× 69 1.3k
A. Poupkou Greece 24 1.0k 1.0× 601 0.8× 705 1.1× 404 1.1× 135 1.5× 52 1.3k
P. R. Sinha India 22 1.2k 1.1× 962 1.3× 494 0.8× 245 0.7× 50 0.6× 49 1.3k
Qijing Bian United States 15 849 0.8× 354 0.5× 671 1.1× 217 0.6× 146 1.7× 29 940
Michael Pikridas Cyprus 18 699 0.7× 402 0.6× 485 0.8× 244 0.7× 84 1.0× 45 842
Charles Chemel United Kingdom 18 660 0.6× 421 0.6× 368 0.6× 299 0.8× 94 1.1× 44 853
Iasonas Stavroulas Greece 27 1.4k 1.4× 769 1.1× 1.2k 2.0× 535 1.4× 214 2.4× 55 1.7k
Shuenn-Chin Chang Taiwan 19 705 0.7× 407 0.6× 640 1.0× 268 0.7× 147 1.7× 28 950
Zhuming Ying United States 17 985 0.9× 687 1.0× 436 0.7× 208 0.6× 70 0.8× 23 1.1k

Countries citing papers authored by Pius Lee

Since Specialization
Citations

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

Fields of papers citing papers by Pius Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pius Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Pius Lee. A scholar is included among the top collaborators of Pius 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 Pius Lee. Pius Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Campbell, Patrick, Youhua Tang, Pius Lee, et al.. (2022). Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16. Geoscientific model development. 15(8). 3281–3313. 15 indexed citations
2.
Tang, Youhua, Huisheng Bian, Zhining Tao, et al.. (2021). Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion events. Atmospheric chemistry and physics. 21(4). 2527–2550. 6 indexed citations
3.
Campbell, Patrick, Daniel Tong, Youhua Tang, et al.. (2021). Impacts of the COVID-19 economic slowdown on ozone pollution in the U.S.. Atmospheric Environment. 264. 118713–118713. 27 indexed citations
6.
Chen, Xiaoyang, Yang Zhang, Kai Wang, et al.. (2021). Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States. Geoscientific model development. 14(6). 3969–3993. 5 indexed citations
7.
Kim, Hyun Cheol, Soontae Kim, Sang‐Hyun Lee, Byeong-Uk Kim, & Pius Lee. (2020). Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory. Atmosphere. 11(1). 101–101. 25 indexed citations
8.
9.
Campbell, Patrick, et al.. (2020). Initial Development of a NOAA Emissions and eXchange Unified System (NEXUS). 1 indexed citations
10.
Wang, Jun, Partha S. Bhattacharjee, Vijay Tallapragada, et al.. (2018). The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 1: Model descriptions. Geoscientific model development. 11(6). 2315–2332. 19 indexed citations
11.
Goonawardene, Nadee, Pius Lee, Hwee‐Xian Tan, Alvin Valera, & Hwee-Pink Tan. (2018). Technologies for ageing-in-place: The Singapore context. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 147. 3 indexed citations
12.
Tang, Youhua, Mariusz Pagowski, Tianfeng Chai, et al.. (2017). 3D-Var versus Optimal Interpolation for Aerosol Assimilation: a Case Studyover the Contiguous United States. 4 indexed citations
14.
Tang, Youhua, Mariusz Pagowski, Tianfeng Chai, et al.. (2017). A case study of aerosol data assimilation with the Community Multi-scale Air Quality Model over the contiguous United States using 3D-Var and optimal interpolation methods. Geoscientific model development. 10(12). 4743–4758. 45 indexed citations
15.
Huang, Min, Gregory R. Carmichael, J. H. Crawford, et al.. (2017). Biogenic isoprene emissions driven by regional weather predictions using different initialization methods: case studies during the SEAC 4 RS and DISCOVER-AQ airborne campaigns. Geoscientific model development. 10(8). 3085–3104. 7 indexed citations
16.
Zhao, Hongmei, Daniel Tong, Pius Lee, Hyun Cheol Kim, & Hang Lei. (2016). Reconstructing Fire Records from Ground-Based Routine Aerosol Monitoring. Atmosphere. 7(3). 43–43. 3 indexed citations
17.
Kim, Hyun Cheol, Pius Lee, Laura Judd, Li Pan, & B. L. Lefer. (2016). OMI NO 2 column densities over North American urban cities: the effect of satellite footprint resolution. Geoscientific model development. 9(3). 1111–1123. 40 indexed citations
18.
19.
Tong, Daniel, Lok N. Lamsal, Li Pan, et al.. (2015). Long-term NOx trends over large cities in the United States during the great recession: Comparison of satellite retrievals, ground observations, and emission inventories. Atmospheric Environment. 107. 70–84. 95 indexed citations
20.
He, Hao, Christopher P. Loughner, J. W. Stehr, et al.. (2013). An elevated reservoir of air pollutants over the Mid-Atlantic States during the 2011 DISCOVER-AQ campaign: Airborne measurements and numerical simulations. Atmospheric Environment. 85. 18–30. 31 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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