Chune Shi

1.0k citations
39 papers · 786 · h-index 17

Impact in

Papers in

Chune Shi

38 papers receiving 774 citations

Peers

Chune Shi
Comparison fields: 5 of 65
  • Atmospheric Science 538
  • Health, Toxicology and Mutagenesis 385
  • Environmental Engineering 368
  • Global and Planetary Change 433
  • Speech and Hearing 19
Replace Paolo Tuccella with:
Paolo Tuccella Italy
Olivier Perrussel France
U. Kaminski Germany
Taylor Shingler United States
Lin Zang China
Maurizio Busetto Italy
Peter Huszár Czechia
Alba Badía Spain
Shuenn-Chin Chang Taiwan
Chune Shi relative to Paolo Tuccella Italy Paolo Tuccella's profile →
Citations per field
00.5×1.6×
Paolo Tuccella · 1×
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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019118
2 201269
3 201557
4 201956
5 201556
6 201254
7 201847
8 201428
9 200827
10 201421
11
[Microphysics of atmospheric aerosols during winter haze/fog events in Nanjing].
201021
12 201119
13 200918
14 200918
15 201117
16 202016
17 201216
18 200916
19 201215
20 201114

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 39 papers that have together received 786 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (22 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 (538 citations), Health, Toxicology and Mutagenesis (385 citations), Environmental Engineering (368 citations), Global and Planetary Change (433 citations) and Speech and Hearing (19 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, Hao Zhang, Jun Yang, H. J. S. Fernando and Guicai Ning. 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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