Jun Qin
Impact in
- Water Science and Technology top 5%
- Advanced oxidation water treatment
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- Urban Green Space and Health
Papers in
-
- Land Use and Ecosystem Services 7
- Climate variability and models 7
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- Atmospheric chemistry and aerosols 8
- Meteorological Phenomena and Simulations 6
- Co-authors
- Dawei Fang (11 shared papers)Ludong Yi (11 shared papers)Jun Wang (7 shared papers)Yonghong Hu (2 shared papers)Qianqian Qi (3 shared papers)Huqiang Zhang (1 shared paper)Yanan Sun (3 shared papers)Yun Li (1 shared paper)
In The Last Decade
Jun Qin
62 papers receiving 772 citations
Peers
Comparison fields: 5 of 88
- Water Science and Technology 209
- Health, Toxicology and Mutagenesis 163
- Environmental Engineering 134
- Global and Planetary Change 191
- Atmospheric Science 147
Countries citing papers authored by Jun Qin
This map shows the geographic impact of Jun Qin'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 Jun Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Qin more than expected).
Fields of papers citing papers by Jun Qin
This network shows the impact of papers produced by Jun Qin. 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 Jun Qin. The network helps show where Jun Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Qin, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 75 | |
| 2 | 2021 | 71 | |
| 3 | 2017 | 45 | |
| 4 | 2022 | 40 | |
| 5 | 2011 | 33 | |
| 6 | 2021 | 31 | |
| 7 | 2022 | 24 | |
| 8 | 2022 | 23 | |
| 9 | 2021 | 22 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 20 | |
| 12 | 2021 | 20 | |
| 13 | 2020 | 18 | |
| 14 | 2022 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2022 | 17 | |
| 17 | 2016 | 16 | |
| 18 | 2016 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2022 | 12 |
About Jun Qin
Jun Qin is a scholar working on Global and Planetary Change, Atmospheric Science, Water Science and Technology, Health, Toxicology and Mutagenesis and Materials Chemistry, having authored 64 papers that have together received 776 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (8 papers), Air Quality and Health Impacts (7 papers), Land Use and Ecosystem Services (7 papers), Urban Green Space and Health (7 papers), Climate variability and models (7 papers), Ultrasound and Cavitation Phenomena (7 papers), Advanced oxidation water treatment (6 papers) and Meteorological Phenomena and Simulations (6 papers). The work is most often cited by research in Water Science and Technology (209 citations), Health, Toxicology and Mutagenesis (163 citations), Environmental Engineering (134 citations), Global and Planetary Change (191 citations) and Atmospheric Science (147 citations). Jun Qin has collaborated with scholars based in China, Tanzania and Pakistan. Frequent co-authors include Dawei Fang, Ludong Yi, Jun Wang, Yonghong Hu, Qianqian Qi, Huqiang Zhang, Yanan Sun, Yun Li, Yuan Wang and Zonghao Liu. Their work appears in journals such as Separation and Purification Technology, Process Safety and Environmental Protection, Colloids and Surfaces A Physicochemical and Engineering Aspects, Climate Dynamics and Atmosphere.
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.