Chung-Te Lee

4.5k citations
74 papers · 3.8k · h-index 36

Impact in

Papers in

Chung-Te Lee

74 papers receiving 3.7k citations

Peers

Chung-Te Lee
Comparison fields: 5 of 145
  • Health, Toxicology and Mutagenesis 2.5k
  • Atmospheric Science 1.9k
  • Global and Planetary Change 1.2k
  • Environmental Engineering 647
  • Automotive Engineering 369
Replace Peter A. Scheff with:
Peter A. Scheff United States
Kayo Ueda Japan
Yue Zhou China
Leila Droprinchinski Martins Brazil
Andrey Y. Khlystov United States
Joy E. Lawrence United States
Jeff Brook Canada
Pasi Jalava Finland
George A. Allen United States
Soontae Kim South Korea
Chung-Te Lee relative to Peter A. Scheff United States Peter A. Scheff's profile →
Citations per field
00.5×2×4×5.9×
Peter A. Scheff · 1×
Citations per year

Countries citing papers authored by Chung-Te Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Te Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007591
2 2013191
3 2007147
4 1991124
5 2018123
6 2003121
7 2019112
8 2020104
9 200492
10 201990
11 201287
12 201173
13 200572
14 200671
15 200761
16 200657
17 201155
18 200755
19 201654
20 201454

About Chung-Te Lee

Chung-Te Lee is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Global and Planetary Change, Automotive Engineering and Environmental Engineering, having authored 74 papers that have together received 3.8k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (55 papers), Air Quality and Health Impacts (49 papers), Atmospheric aerosols and clouds (20 papers), Atmospheric Ozone and Climate (15 papers), Atmospheric and Environmental Gas Dynamics (14 papers), Vehicle emissions and performance (10 papers), Air Quality Monitoring and Forecasting (7 papers) and Climate Change and Health Impacts (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.5k citations), Atmospheric Science (1.9k citations), Global and Planetary Change (1.2k citations), Environmental Engineering (647 citations) and Automotive Engineering (369 citations). Chung-Te Lee has collaborated with scholars based in Taiwan, United States and Thailand. Frequent co-authors include Chang‐Chuan Chan, Shuenn-Chin Chang, Neng‐Huei Lin, Kai-Jen Chuang, Ta‐Chen Su, Chin-Sheng Tang, Ming‐Tung Chuang, Guey-Rong Sheu, Sheng‐Hsiang Wang and Jia‐Lin Wang. Their work appears in journals such as Atmospheric Environment, Aerosol and Air Quality Research, The Science of The Total Environment, Environmental Monitoring and Assessment and Environmental Research.

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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