Wenting Dai

4.8k citations
130 papers · 3.5k · h-index 33

Impact in

Papers in

Wenting Dai

126 papers receiving 3.5k citations

Peers

Wenting Dai
Comparison fields: 5 of 149
  • Health, Toxicology and Mutagenesis 1.7k
  • Atmospheric Science 1.8k
  • Environmental Engineering 579
  • Pharmaceutical Science 237
  • Global and Planetary Change 610
Replace Marina Camatini with:
Marina Camatini Italy
Alan M. Jones United Kingdom
Xiang‐Zhou Meng China
Anthony Verdin France
Pirouz Shirali France
Wan-Li Ma China
Bo Huang China
Haruhiko Nakata Japan
Wenting Dai relative to Marina Camatini Italy Marina Camatini's profile →
Citations per field
00.5×10.8×
Marina Camatini · 1×
Citations per year

Countries citing papers authored by Wenting Dai

Since Specialization
Citations

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

Fields of papers citing papers by Wenting Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018189
2 2007141
3 2019137
4 2017134
5 2017133
6 2014123
7 2016119
8 2009107
9 2020102
10 201694
11 201789
12 202082
13 201064
14 201763
15 201260
16 201756
17 201155
18 201955
19 201455
20 201053

About Wenting Dai

Wenting Dai is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Global and Planetary Change, Molecular Biology and Automotive Engineering, having authored 130 papers that have together received 3.5k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (71 papers), Air Quality and Health Impacts (62 papers), Atmospheric Ozone and Climate (19 papers), Vehicle emissions and performance (16 papers), Atmospheric aerosols and clouds (16 papers), Air Quality Monitoring and Forecasting (14 papers), Indoor Air Quality and Microbial Exposure (8 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.7k citations), Atmospheric Science (1.8k citations), Environmental Engineering (579 citations), Pharmaceutical Science (237 citations) and Global and Planetary Change (610 citations). Wenting Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Junji Cao, Steven Sai Hang Ho, Ru‐Jin Huang, Lei Jiang, Kin‐Fai Ho, Qiyuan Wang, Xuexi Tie, Jianxin Liu, Guohui Li and Hongyun Liu. Their work appears in journals such as The Science of The Total Environment, Atmospheric chemistry and physics, Atmospheric Environment, Scientific Reports and Atmospheric Research.

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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