Shaowei Lu

431 citations
42 papers · 340 · h-index 10

Impact in

Papers in

Shaowei Lu

36 papers receiving 325 citations

Peers

Shaowei Lu
Comparison fields: 5 of 74
  • Health, Toxicology and Mutagenesis 118
  • Environmental Engineering 60
  • Global and Planetary Change 84
  • Atmospheric Science 61
  • Plant Science 111
Replace L. I. de Bauer with:
L. I. de Bauer Mexico
Shang He China
Motonori Okumura Japan
Ziru Chen China
Shaonan Huang China
Jenny Klingberg Sweden
Rocco Pace Italy
Gerrit Kats United States
Mingrui Ma China
Shaowei Lu relative to L. I. de Bauer Mexico L. I. de Bauer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shaowei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shaowei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 201037
3
[Evaluation of economic forest ecosystem services in China].
200930
4 201525
5
[Forest ecosystem service and its evaluation in China].
200518
6 202216
7 201615
8 201611
9
Distribution characteristics and law of negative air ions in typical garden flora areas of Beijing
201311
10
[Beijing common green tree leaves' accumulation capacity for heavy metals].
20149
11 20218
12 20218
13 20247
14 20226
15 20245
16 20235
17 20244
18 20244
19 20234
20
[Evaluation of forest ecosystem services value in Liaoning Province].
20104

About Shaowei Lu

Shaowei Lu is a scholar working on Global and Planetary Change, Atmospheric Science, Plant Science, Health, Toxicology and Mutagenesis and Ecology, having authored 42 papers that have together received 340 indexed citations. Recurring topics across this work include Remote Sensing and Land Use (9 papers), Plant Water Relations and Carbon Dynamics (8 papers), Atmospheric chemistry and aerosols (7 papers), Air Quality and Health Impacts (7 papers), Environmental Changes in China (6 papers), Forest, Soil, and Plant Ecology in China (5 papers), Plant responses to elevated CO2 (5 papers) and Vehicle emissions and performance (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (118 citations), Environmental Engineering (60 citations), Global and Planetary Change (84 citations), Atmospheric Science (61 citations) and Plant Science (111 citations). Shaowei Lu has collaborated with scholars based in China. Frequent co-authors include Shaoning Li, Bing Wang, Lan Xu, Tianlai Li, Di Wang, Jing Jiang, Bo Chen, Xiaotian Xu, Bing Wang and Na Zhao. Their work appears in journals such as Plants, The Science of The Total Environment, Atmospheric Pollution Research, Land Degradation and Development and Journal of Wood Chemistry and Technology.

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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