Yu Wu

1.7k citations
74 papers · 1.3k indexed · h-index 24

Impact in

Papers in

Yu Wu

69 papers receiving 1.2k citations

Peers

Yu Wu
Comparison fields: 5 of 95
  • Atmospheric Science 924
  • Health, Toxicology and Mutagenesis 608
  • Global and Planetary Change 657
  • Environmental Engineering 256
  • Automotive Engineering 79
Replace Matthias Beekmann with:
Matthias Beekmann France
Amit P. Kesarkar India
Xu Feng China
Ming‐Tung Chuang Taiwan
Stuart K. Grange Switzerland
Siqi Ye China
Tao Deng China
Chengzhi Xing China
Sandro Finardi Italy
Yu Wu relative to Matthias Beekmann France Matthias Beekmann's profile →
Citations per field
00.5×1.5×2.0×
Matthias Beekmann · 1×
Citations per year

Countries citing papers authored by Yu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 202125
4 202128
5 202016
6 20201
7 20209
8 20205
9 20191
10 201936
11 201915
12 20193
13 201865
14 201733
15 201632
16 201513
17 20147
18
Assessment of aloft aerosol layers by ground-based lidar, satellite CALIPSO and model
20131
19 20123
20
Earlier Identification and Numerical Simulation of Hail Storms Occurring in Xunyi Region
20024

About Yu Wu

Yu Wu is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Environmental Engineering and Media Technology, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (46 papers), Atmospheric aerosols and clouds (35 papers), Atmospheric Ozone and Climate (22 papers), Air Quality and Health Impacts (21 papers), Atmospheric and Environmental Gas Dynamics (10 papers), Air Quality Monitoring and Forecasting (6 papers), Vehicle emissions and performance (4 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Atmospheric Science (924 citations), Health, Toxicology and Mutagenesis (608 citations), Global and Planetary Change (657 citations), Environmental Engineering (256 citations) and Automotive Engineering (79 citations). Yu Wu has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Tianhai Cheng, Lijuan Zheng, Xingfa Gu, Hao Chen, Lulu Cui, Rui Li, Hongbo Fu, Shuaiyi Shi, Jianmin Chen and Junlin Li. Their work appears in journals such as Journal of Quantitative Spectroscopy and Radiative Transfer, IEEE Transactions on Geoscience and Remote Sensing, Scientific Reports, Environmental Research Letters and Atmospheric Environment.

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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