Jun Shi

1.7k citations
66 papers · 1.4k · h-index 18

Impact in

    • Climate variability and models
    • Land Use and Ecosystem Services
    • Atmospheric aerosols and clouds
    • Plant Water Relations and Carbon Dynamics
    • Meteorological Phenomena and Simulations
    • Atmospheric chemistry and aerosols

Papers in

    • Climate variability and models 19
    • Atmospheric aerosols and clouds 9
    • Environmental Changes in China 8
    • Land Use and Ecosystem Services 7
    • Atmospheric chemistry and aerosols 11
    • Remote Sensing and Land Use 11
    • Meteorological Phenomena and Simulations 11

Jun Shi

63 papers receiving 1.4k citations

Peers

Jun Shi
Comparison fields: 5 of 104
  • Global and Planetary Change 889
  • Atmospheric Science 554
  • Environmental Engineering 312
  • Health, Toxicology and Mutagenesis 190
  • Water Science and Technology 131
Replace Linli Cui with:
Linli Cui China
Pablo Sarricolea Chile
Hamidreza Keshtkar Iran
Yaoping Cui China
Guosong Zhao China
Sujong Jeong South Korea
Matamyo Simwanda Zambia
Youyue Wen China
Haroon Sajjad India
Ranghui Wang China
Jun Shi relative to Linli Cui China Linli Cui's profile →
Citations per field
00.5×1.6×
Linli Cui · 1×
Citations per year

Countries citing papers authored by Jun Shi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Shi Line = papers co-authored together Jun Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012291
2 2017107
3 2011101
4 2018101
5 202095
6 201076
7 201163
8 201338
9 201037
10 201837
11 202035
12 201531
13 201030
14 201623
15 201422
16 202019
17 201717
18 202217
19 201616
20 201715

About Jun Shi

Jun Shi is a scholar working on Global and Planetary Change, Atmospheric Science, Environmental Engineering, Ecology and Ecological Modeling, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Climate variability and models (19 papers), Atmospheric chemistry and aerosols (11 papers), Remote Sensing and Land Use (11 papers), Meteorological Phenomena and Simulations (11 papers), Atmospheric aerosols and clouds (9 papers), Urban Heat Island Mitigation (9 papers), Environmental Changes in China (8 papers) and Land Use and Ecosystem Services (7 papers). The work is most often cited by research in Global and Planetary Change (889 citations), Atmospheric Science (554 citations), Environmental Engineering (312 citations), Health, Toxicology and Mutagenesis (190 citations) and Water Science and Technology (131 citations). Jun Shi has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Linli Cui, Kangmin Wen, Zhan Tian, Yue Ma, Huaqiang Du, Bowen Zhang, Jun Bi, Jianping Huang, Pradeep Khatri and Takumi Takamura. Their work appears in journals such as Atmosphere, Atmospheric chemistry and physics, Journal of Geographical Sciences, Environmental Research 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.

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