Junli Jin
Impact in
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Global and Planetary Change top 5%
- Atmospheric and Environmental Gas Dynamics
- Atmospheric aerosols and clouds
- COVID-19 impact on air quality
Papers in
-
- Atmospheric chemistry and aerosols 25
- Atmospheric Ozone and Climate 21
- Meteorological Phenomena and Simulations 2
-
- Atmospheric and Environmental Gas Dynamics 10
- Atmospheric aerosols and clouds 9
- Co-authors
- Jianzhong Ma (9 shared papers)Thomas J. Wagner (4 shared papers)Steffen Beirle (2 shared papers)Reza Shaiganfar (2 shared papers)Pengcheng Yan (1 shared paper)Weili Lin (5 shared papers)Huarong Zhao (2 shared papers)Xiaobin Xu (7 shared papers)
In The Last Decade
Junli Jin
27 papers receiving 637 citations
Peers
Comparison fields: 5 of 36
- Atmospheric Science 588
- Global and Planetary Change 416
- Health, Toxicology and Mutagenesis 192
- Environmental Engineering 173
- Spectroscopy 25
Countries citing papers authored by Junli Jin
This map shows the geographic impact of Junli Jin'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 Junli Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Jin more than expected).
Fields of papers citing papers by Junli Jin
This network shows the impact of papers produced by Junli Jin. 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 Junli Jin. The network helps show where Junli Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 139 | |
| 2 | 2020 | 81 | |
| 3 | 2020 | 80 | |
| 4 | 2016 | 66 | |
| 5 | 2021 | 53 | |
| 6 | 2017 | 33 | |
| 7 | 2008 | 32 | |
| 8 | 2020 | 29 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2025 | 4 |
About Junli Jin
Junli Jin is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Environmental Engineering and Spectroscopy, having authored 32 papers that have together received 646 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (25 papers), Atmospheric Ozone and Climate (21 papers), Atmospheric and Environmental Gas Dynamics (10 papers), Atmospheric aerosols and clouds (9 papers), Air Quality and Health Impacts (7 papers), Spectroscopy and Laser Applications (3 papers), Air Quality Monitoring and Forecasting (2 papers) and Meteorological Phenomena and Simulations (2 papers). The work is most often cited by research in Atmospheric Science (588 citations), Global and Planetary Change (416 citations), Health, Toxicology and Mutagenesis (192 citations), Environmental Engineering (173 citations) and Spectroscopy (25 citations). Junli Jin has collaborated with scholars based in China, Germany and Belgium. Frequent co-authors include Jianzhong Ma, Thomas J. Wagner, Steffen Beirle, Reza Shaiganfar, Pengcheng Yan, Weili Lin, Huarong Zhao, Xiaobin Xu, Dajiang Yu and Xiaochun Zhang. Their work appears in journals such as Atmospheric chemistry and physics, Atmospheric measurement techniques, Atmosphere, Advances in Climate Change Research and Toxicology and Applied Pharmacology.
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.