Jun Shi
Impact in
- Global and Planetary Change top 2%
- Climate variability and models
- Land Use and Ecosystem Services
- Atmospheric aerosols and clouds
- Plant Water Relations and Carbon Dynamics
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations
- Atmospheric chemistry and aerosols
Papers in
-
- Climate variability and models 19
- Environmental Changes in China 8
- Land Use and Ecosystem Services 8
-
- Meteorological Phenomena and Simulations 11
- Remote Sensing and Land Use 10
- Atmospheric chemistry and aerosols 8
- Co-authors
- Linli Cui (26 shared papers)Kangmin Wen (7 shared papers)Zhan Tian (4 shared papers)Huaqiang Du (3 shared papers)Yue Ma (6 shared papers)Bowen Zhang (4 shared papers)Jun Bi (2 shared papers)Jianping Huang (2 shared papers)
- Journals
- Atmospheric chemistry and physics (3 papers)Journal of Geographical Sciences (3 papers)Atmosphere (3 papers)Environmental Research (2 papers)ISPRS Journal of Photogrammetry and Remote Sensing (1 paper)
- Partner nations
- ChinaJapanNetherlands
In The Last Decade
Jun Shi
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Global and Planetary Change 882
- Atmospheric Science 543
- Environmental Engineering 315
- Health, Toxicology and Mutagenesis 192
- Ecological Modeling 41
Countries citing papers authored by Jun Shi
This map shows the geographic impact of Jun Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shi more than expected).
Fields of papers citing papers by Jun Shi
This network shows the impact of papers produced by Jun Shi. 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 Shi. The network helps show where Jun Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Shi, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 299 | |
| 2 | 2017 | 110 | |
| 3 | 2018 | 105 | |
| 4 | 2011 | 102 | |
| 5 | 2020 | 97 | |
| 6 | 2010 | 75 | |
| 7 | 2011 | 61 | |
| 8 | 2018 | 39 | |
| 9 | 2010 | 38 | |
| 10 | 2013 | 35 | |
| 11 | 2020 | 35 | |
| 12 | 2015 | 31 | |
| 13 | 2010 | 29 | |
| 14 | 2016 | 23 | |
| 15 | 2022 | 22 | |
| 16 | 2014 | 22 | |
| 17 | 2020 | 20 | |
| 18 | 2017 | 18 | |
| 19 | 2017 | 16 | |
| 20 | 2016 | 16 |
About Jun Shi
Jun Shi is a scholar working on Global and Planetary Change, Atmospheric Science, Environmental Engineering, Ecological Modeling and Ecology, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Climate variability and models (19 papers), Meteorological Phenomena and Simulations (11 papers), Remote Sensing and Land Use (10 papers), Urban Heat Island Mitigation (10 papers), Environmental Changes in China (8 papers), Atmospheric chemistry and aerosols (8 papers), Land Use and Ecosystem Services (8 papers) and Remote Sensing in Agriculture (7 papers). The work is most often cited by research in Global and Planetary Change (882 citations), Atmospheric Science (543 citations), Environmental Engineering (315 citations), Health, Toxicology and Mutagenesis (192 citations) and Ecological Modeling (41 citations). Jun Shi has collaborated with scholars based in China, Japan and Netherlands. Frequent co-authors include Linli Cui, Kangmin Wen, Zhan Tian, Huaqiang Du, Yue Ma, Bowen Zhang, Jun Bi, Jianping Huang, Guangyu Shi and Pradeep Khatri. Their work appears in journals such as Atmospheric chemistry and physics, Journal of Geographical Sciences, Atmosphere, Environmental Research and ISPRS Journal of Photogrammetry and Remote Sensing.
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.