Chune Shi

980 citations
37 papers · 749 · h-index 16

Impact in

Papers in

Chune Shi

36 papers receiving 736 citations

Peers

Chune Shi
Comparison fields: 5 of 61
  • Atmospheric Science 524
  • Health, Toxicology and Mutagenesis 381
  • Environmental Engineering 361
  • Global and Planetary Change 422
  • Automotive Engineering 37
Replace Elsa Dieudonné with:
Elsa Dieudonné France
Alba Badía Spain
Chao Yu China
Pulong Chen China
Paolo Tuccella Italy
Peter Huszár Czechia
Lingdong Kong China
Xinghong Cheng China
Xingchuan Yang China
Benjamin Fasoli United States
Chune Shi relative to Elsa Dieudonné France Elsa Dieudonné's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chune Shi

Since Specialization
Citations

This map shows the geographic impact of Chune 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 Chune Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chune Shi more than expected).

Fields of papers citing papers by Chune Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chune 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 Chune Shi. The network helps show where Chune Shi may publish in the future.

Co-authors

The 25 scholars most cited alongside Chune 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 Chune Shi Line = papers co-authored together Chune Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019114
2 201268
3 201557
4 201555
5 201955
6 201253
7 201846
8 201428
9 200827
10
[Microphysics of atmospheric aerosols during winter haze/fog events in Nanjing].
201021
11 201420
12 201119
13 200918
14 201117
15 200917
16 200917
17 201215
18 201115
19 202014
20 200713

About Chune Shi

Chune Shi is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Environmental Engineering and Geochemistry and Petrology, having authored 37 papers that have together received 749 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (21 papers), Air Quality and Health Impacts (14 papers), Atmospheric aerosols and clouds (13 papers), Atmospheric Ozone and Climate (9 papers), Urban Heat Island Mitigation (7 papers), Wind and Air Flow Studies (5 papers), Air Quality Monitoring and Forecasting (4 papers) and Land Use and Ecosystem Services (4 papers). The work is most often cited by research in Atmospheric Science (524 citations), Health, Toxicology and Mutagenesis (381 citations), Environmental Engineering (361 citations), Global and Planetary Change (422 citations) and Automotive Engineering (37 citations). Chune Shi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuanjian Yang, Biwen Wu, Tao Shi, Yubin Li, Yong Huang, Steve Hung Lam Yim, Jun Yang, Hao Zhang, H. J. S. Fernando and Hong Wang. Their work appears in journals such as Atmospheric Environment, Pure and Applied Geophysics, The Science of The Total Environment, Atmospheric Research and Geophysical Research Letters.

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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