Can Wu

3.1k citations
96 papers · 2.0k · h-index 28

Impact in

Papers in

Can Wu

90 papers receiving 1.9k citations

Peers

Can Wu
Comparison fields: 5 of 102
  • Health, Toxicology and Mutagenesis 1.2k
  • Atmospheric Science 1.5k
  • Environmental Engineering 441
  • Global and Planetary Change 583
  • Automotive Engineering 186
Replace Baozhu Ge with:
Baozhu Ge China
Dan Chen China
Yanhong Zhu China
Qi Fan China
Young Sung Ghim South Korea
Shengzhen Zhou China
Hikari Shimadera Japan
Sicong Kang China
X. H. Hilda Huang Hong Kong
Zhiqiang Ma China
Can Wu relative to Baozhu Ge China Baozhu Ge's profile →
Citations per field
00.5×3.9×
Baozhu Ge · 1×
Citations per year

Countries citing papers authored by Can Wu

Since Specialization
Citations

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

Fields of papers citing papers by Can Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 201888
3 201685
4 200772
5 202070
6 202069
7 202062
8 202062
9 201859
10 202257
11 202147
12 202047
13 201846
14 201646
15 201946
16 202042
17 201141
18 202341
19 201641
20 201939

About Can Wu

Can Wu is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Global and Planetary Change, Environmental Engineering and Automotive Engineering, having authored 96 papers that have together received 2.0k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (65 papers), Air Quality and Health Impacts (51 papers), Atmospheric Ozone and Climate (34 papers), Atmospheric aerosols and clouds (16 papers), Air Quality Monitoring and Forecasting (13 papers), Vehicle emissions and performance (10 papers), Atmospheric and Environmental Gas Dynamics (6 papers) and bioluminescence and chemiluminescence research (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.2k citations), Atmospheric Science (1.5k citations), Environmental Engineering (441 citations), Global and Planetary Change (583 citations) and Automotive Engineering (186 citations). Can Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gehui Wang, Jianjun Li, Cong Cao, Jiayuan Wang, Shuangshuang Ge, Wei Du, Yanqin Ren, Shijie Liu, Yuning Xie and Jin Li. Their work appears in journals such as Atmospheric chemistry and physics, The Science of The Total Environment, Environmental Science & Technology, Environmental Pollution and Journal of Environmental Sciences.

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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