Yanjun Shi

52 papers receiving 2.6k citations

Yanjun Shi's Hit Papers

Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China 2020 · 407 citations
4070+2+4Years since publication100200300400

Peers

Yanjun Shi
Comparison fields: 5 of 123
  • Modeling and Simulation 325
  • Biochemistry 287
  • Spectroscopy 635
  • Bioengineering 146
  • Polymers and Plastics 353
Replace Xiaoyong Zhang with:
Xiaoyong Zhang China
Xiao‐Gang Yang China
Jia Li China
Guangjie Song China
Qingyu Gao China
Kun Zhang China
Jie Pan China
Yongchul G. Chung South Korea
Jin Kim South Korea
Yanjun Shi relative to Xiaoyong Zhang China Xiaoyong Zhang's profile →
Citations per field
00.5×10.3×
Xiaoyong Zhang · 1×
Citations per year

Countries citing papers authored by Yanjun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China
Hit paper breakdown →
2020407
2 2011338
3 2012268
4 2020140
5 2012137
6 2018134
7 2019134
8 2020115
9 201984
10 201173
11 201173
12 201172
13 202065
14 202160
15 201149
16 202347
17 201837
18 202136
19 201136
20 201934

About Yanjun Shi

Yanjun Shi is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment, Spectroscopy and Molecular Biology, having authored 56 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced battery technologies research (17 papers), Organic Electronics and Photovoltaics (10 papers), Electrocatalysts for Energy Conversion (9 papers), Molecular Sensors and Ion Detection (8 papers), Advanced Battery Technologies Research (7 papers), Conducting polymers and applications (7 papers), Electrochemical Analysis and Applications (7 papers) and Advanced Battery Materials and Technologies (6 papers). The work is most often cited by research in Modeling and Simulation (325 citations), Biochemistry (287 citations), Spectroscopy (635 citations), Bioengineering (146 citations) and Polymers and Plastics (353 citations). Yanjun Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhengzhi Zeng, Liang Huang, Pinxian Xi, Guoqiang Xie, Fengping Hou, Fengjuan Chen, Lang Jiang, Decheng Bai, Ju Cheng and Wenping Hu. Their work appears in journals such as Journal of Materials Chemistry C, Applied Surface Science, Advanced Electronic Materials, ACS Sustainable Chemistry & Engineering and Journal of Materials Chemistry A.

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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