Shaojun Lv

1.1k citations
26 papers · 528 · h-index 15

Impact in

Papers in

Shaojun Lv

24 papers receiving 523 citations

Peers

Shaojun Lv
Comparison fields: 5 of 92
  • Atmospheric Science 374
  • Health, Toxicology and Mutagenesis 275
  • Environmental Engineering 106
  • Global and Planetary Change 131
  • Automotive Engineering 56
Replace Yuxia Ma with:
Yuxia Ma China
Keith J. Bein United States
A. Saffari United States
J.P. Nicolas France
He Meng China
Han-Jae Shin South Korea
Yanhua Fang China
Thaneeya Chetiyanukornkul Japan
Mark Higuchi United States
Shaojun Lv relative to Yuxia Ma China Yuxia Ma's profile →
Citations per field
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Yuxia Ma · 1×
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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201855
3 202250
4 202146
5 202335
6 201933
7 202126
8 201924
9 202123
10 202222
11 201921
12 202120
13 202219
14 202117
15 202215
16 202113
17 202212
18 202411
19 20229
20 20257

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 26 papers that have together received 528 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), Air Quality Monitoring and Forecasting (4 papers), Vehicle emissions and performance (4 papers), Atmospheric aerosols and clouds (3 papers), Toxic Organic Pollutants Impact (2 papers) and Balance, Gait, and Falls Prevention (1 paper). The work is most often cited by research in Atmospheric Science (374 citations), Health, Toxicology and Mutagenesis (275 citations), Environmental Engineering (106 citations), Global and Planetary Change (131 citations) and Automotive Engineering (56 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, Yubao Chen, Wei Du, Cheng Huang and Jianjun Li. Their work appears in journals such as The Science of The Total Environment, Environmental Science & Technology, Environmental Science & Technology Letters, Advances in Atmospheric Sciences and Environmental Pollution.

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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