Shaojun Lv

1.2k citations
27 papers · 577 · h-index 16

Impact in

Papers in

Shaojun Lv

24 papers receiving 571 citations

Peers

Shaojun Lv
Comparison fields: 5 of 92
  • Atmospheric Science 404
  • Health, Toxicology and Mutagenesis 279
  • Environmental Engineering 107
  • Global and Planetary Change 134
  • Automotive Engineering 58
Replace Yuxia Ma with:
Yuxia Ma China
He Meng China
Yanhua Fang China
Thaneeya Chetiyanukornkul Thailand
Brett D. Grover United States
Mark Higuchi United States
Sofía Caumo Brazil
T. P. Jones United Kingdom
Shaojun Lv relative to Yuxia Ma China Yuxia Ma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shaojun Lv

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202062
2 201857
3 202257
4 202147
5 202341
6 201934
7 202127
8 202126
9 201926
10 202223
11 202122
12 202221
13 201921
14 202118
15 202416
16 202215
17 202114
18 202213
19 202511
20 202211

About Shaojun Lv

Shaojun Lv is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Automotive Engineering, Environmental Engineering and Global and Planetary Change, having authored 27 papers that have together received 577 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (22 papers), Air Quality and Health Impacts (17 papers), Atmospheric Ozone and Climate (11 papers), Vehicle emissions and performance (4 papers), Air Quality Monitoring and Forecasting (4 papers), Atmospheric aerosols and clouds (3 papers), Toxic Organic Pollutants Impact (2 papers) and Advanced Glycation End Products research (1 paper). The work is most often cited by research in Atmospheric Science (404 citations), Health, Toxicology and Mutagenesis (279 citations), Environmental Engineering (107 citations), Global and Planetary Change (134 citations) and Automotive Engineering (58 citations). Shaojun Lv has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Gehui Wang, Can Wu, Fanglin Wang, Shijie Liu, Si Zhang, Jingjing Meng, Wei Du, Yubao Chen, Hongli Wang and Cheng Huang. Their work appears in journals such as The Science of The Total Environment, Environmental Science & Technology, Environmental Pollution, Atmospheric chemistry and physics and Environmental Science & Technology 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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