Shaowei Wu

5.5k citations
145 papers · 4.1k · h-index 37

Impact in

Papers in

Shaowei Wu

135 papers receiving 4.0k citations

Peers

Shaowei Wu
Comparison fields: 5 of 151
  • Health, Toxicology and Mutagenesis 2.9k
  • Speech and Hearing 353
  • Environmental Engineering 800
  • Pollution 389
  • Automotive Engineering 236
Replace Furong Deng with:
Furong Deng China
Jeremy P. Langrish United Kingdom
Marianthi‐Anna Kioumourtzoglou United States
Mary B. Rice United States
Jicheng Gong China
Bénédicte Jacquemin France
David Q. Rich United States
Jong-Tae Lee South Korea
Jeff D. Yanosky United States
Alexandros Gryparis Greece
Shaowei Wu relative to Furong Deng China Furong Deng's profile →
Citations per field
00.5×1.5×
Furong Deng · 1×
Citations per year

Countries citing papers authored by Shaowei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shaowei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009180
2 2014156
3 2016145
4 2012138
5 2012133
6 2012132
7 201392
8 201490
9 201990
10 202088
11 202187
12 202184
13 202380
14 201780
15 202068
16 201766
17 201963
18 201962
19 202061
20 201659

About Shaowei Wu

Shaowei Wu is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Speech and Hearing, Pollution and General Health Professions, having authored 145 papers that have together received 4.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (93 papers), Climate Change and Health Impacts (53 papers), Air Quality Monitoring and Forecasting (20 papers), Noise Effects and Management (13 papers), Energy and Environment Impacts (10 papers), Global Health Care Issues (10 papers), Health, Environment, Cognitive Aging (6 papers) and Effects and risks of endocrine disrupting chemicals (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.9k citations), Speech and Hearing (353 citations), Environmental Engineering (800 citations), Pollution (389 citations) and Automotive Engineering (236 citations). Shaowei Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xinbiao Guo, Furong Deng, Masayuki Shima, Jing Huang, Hongying Wei, Yu Qin, Chanjuan Zheng, Qisijing Liu, Andrea Baccarelli and Hao Yu. Their work appears in journals such as Environment International, Environmental Research, Environmental Pollution, The Science of The Total Environment and Journal of Hazardous Materials.

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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