Lin Wu

4.4k citations
136 papers · 3.0k · h-index 29

Impact in

Papers in

Lin Wu

126 papers receiving 2.9k citations

Peers

Lin Wu
Comparison fields: 5 of 117
  • Health, Toxicology and Mutagenesis 1.4k
  • Atmospheric Science 1.6k
  • Automotive Engineering 1.0k
  • Environmental Engineering 802
  • Global and Planetary Change 1.0k
Replace Michael Gauss with:
Michael Gauss Norway
Philippe Thunis Italy
Ming Chang China
Alain Clappier France
David C. Carslaw United Kingdom
Hilkka Timonen Finland
Ruwim Berkowicz Denmark
E.R. Jayaratne Australia
Jarkko V. Niemi Finland
Helen ApSimon United Kingdom
Lin Wu relative to Michael Gauss Norway Michael Gauss's profile →
Citations per field
00.5×3.2×
Michael Gauss · 1×
Citations per year

Countries citing papers authored by Lin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021171
2 2010169
3 2016122
4 2007122
5 201999
6 202093
7 201682
8 201781
9 201875
10 202074
11 200871
12 202069
13 202066
14 201859
15 201656
16 201655
17 202155
18 202055
19 201853
20 201146

About Lin Wu

Lin Wu is a scholar working on Atmospheric Science, Automotive Engineering, Health, Toxicology and Mutagenesis, Global and Planetary Change and Environmental Engineering, having authored 136 papers that have together received 3.0k indexed citations. Recurring topics across this work include Vehicle emissions and performance (62 papers), Air Quality and Health Impacts (62 papers), Atmospheric chemistry and aerosols (51 papers), Atmospheric and Environmental Gas Dynamics (25 papers), Air Quality Monitoring and Forecasting (20 papers), Climate variability and models (14 papers), Meteorological Phenomena and Simulations (13 papers) and Atmospheric aerosols and clouds (12 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.4k citations), Atmospheric Science (1.6k citations), Automotive Engineering (1.0k citations), Environmental Engineering (802 citations) and Global and Planetary Change (1.0k citations). Lin Wu has collaborated with scholars based in China, France and United States. Frequent co-authors include Hongjun Mao, Marc Bocquet, Carlos Pires, Chao Zou, Qijun Zhang, Jianfei Peng, Frédéric Chevallier, Ting Wang, Ning Wei and Bruno Sportisse. Their work appears in journals such as The Science of The Total Environment, Journal of Geophysical Research Atmospheres, Atmospheric Environment, Atmosphere and Journal of Cleaner Production.

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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