Jun Shi

1.7k total citations
71 papers, 1.4k citations indexed

About

Jun Shi is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Jun Shi has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Global and Planetary Change, 39 papers in Atmospheric Science and 14 papers in Environmental Engineering. Recurrent topics in Jun Shi's work include Climate variability and models (20 papers), Remote Sensing and Land Use (12 papers) and Atmospheric chemistry and aerosols (12 papers). Jun Shi is often cited by papers focused on Climate variability and models (20 papers), Remote Sensing and Land Use (12 papers) and Atmospheric chemistry and aerosols (12 papers). Jun Shi collaborates with scholars based in China, Japan and Austria. Jun Shi's co-authors include Linli Cui, Kangmin Wen, Zhan Tian, Huaqiang Du, Yue Ma, Bowen Zhang, Jianping Huang, Jun Bi, Guangtao Dong and Pradeep Khatri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Jun Shi

67 papers receiving 1.3k citations

Peers

Jun Shi
Comparison fields: 5 of 103
  • Global and Planetary Change 872
  • Atmospheric Science 536
  • Environmental Engineering 316
  • Health, Toxicology and Mutagenesis 189
  • Ecology 183
Replace Pablo Sarricolea with:
Pablo Sarricolea Chile
Linli Cui China
Tangao Hu China
John Kapsomenakis Greece
Yanhua Xie United States
Zigeng Niu China
Jatin Kala Australia
Shiqiang Du China
Yuechen Li China
Qingke Wen China
Pablo Sarricolea Chile View profile →
Citations per field, relative to Jun Shi
Jun Shi · 1×
Citations per year, relative to Jun Shi
Jun Shi · 1×

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-authorship network of co-authors of Jun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Shi. A scholar is included among the top collaborators of Jun Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Shi. Jun Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 0
3 1
4 1
5 1
6 4
7 32
8 91
9 13
10 2
11 15
12 16
13
Soil nitrogen transformation dynamics in a suburban forest near Tokyo Metropolitan Area under high nitrogen deposition: A case study using stable isotope tracer techniques
3
14 4
15 10
16 99
17 4
18
Effect of Urban Heat Island on Heat Waves in Summer of Shanghai
7
19
Climatic Characteristics and Change Laws of Fog and Haze Days in Shanghai
4
20
Human Activities and Climatic Environment Changes in Yangtze Delta Area
1

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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