Zhanqing Li
Impact in
- Atmospheric Science top 0.01%
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Meteorological Phenomena and Simulations
- Global and Planetary Change top 0.01%
- Atmospheric aerosols and clouds
- Atmospheric and Environmental Gas Dynamics
- Climate variability and models
Papers in
-
- Atmospheric chemistry and aerosols 305
- Atmospheric Ozone and Climate 131
- Meteorological Phenomena and Simulations 66
-
- Atmospheric aerosols and clouds 321
- Atmospheric and Environmental Gas Dynamics 71
- Climate variability and models 47
Zhanqing Li
458 papers receiving 24.3k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Atmospheric Science 18.3k
- Global and Planetary Change 18.7k
- Health, Toxicology and Mutagenesis 6.5k
- Environmental Engineering 4.4k
- Earth-Surface Processes 932
Countries citing papers authored by Zhanqing Li
This map shows the geographic impact of Zhanqing Li'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 Zhanqing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanqing Li more than expected).
Fields of papers citing papers by Zhanqing Li
This network shows the impact of papers produced by Zhanqing Li. 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 Zhanqing Li. The network helps show where Zhanqing Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhanqing Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 10 | |
| 5 | Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data Hit paper breakdown → | 2023 | 97 |
| 6 | 2023 | 4 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 4 | |
| 12 | 2020 | 68 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2018 | 106 | |
| 16 | 2018 | 7 | |
| 17 | 2018 | 232 | |
| 18 | 2018 | 32 | |
| 19 | 2017 | 2 | |
| 20 | 2016 | 2 |
About Zhanqing Li
Zhanqing Li is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Environmental Engineering and Earth-Surface Processes, having authored 470 papers that have together received 25.2k indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (321 papers), Atmospheric chemistry and aerosols (305 papers), Atmospheric Ozone and Climate (131 papers), Air Quality and Health Impacts (92 papers), Atmospheric and Environmental Gas Dynamics (71 papers), Meteorological Phenomena and Simulations (66 papers), Climate variability and models (47 papers) and Remote Sensing in Agriculture (36 papers). The work is most often cited by research in Atmospheric Science (18.3k citations), Global and Planetary Change (18.7k citations), Health, Toxicology and Mutagenesis (6.5k citations), Environmental Engineering (4.4k citations) and Earth-Surface Processes (932 citations). Zhanqing Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Maureen Cribb, Jing Wei, Lin Sun, Jianping Guo, Tianning Su, Wenhao Xue, J. Cihlar, Pucai Wang, Jiwen Fan and Daniel Rosenfeld. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Atmospheric chemistry and physics, Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric Environment.
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.