Kai Yang

5.2k citations
96 papers · 3.6k · h-index 33

Impact in

Papers in

Kai Yang

88 papers receiving 3.5k citations

Peers

Kai Yang
Comparison fields: 5 of 111
  • Atmospheric Science 2.7k
  • Global and Planetary Change 2.3k
  • Health, Toxicology and Mutagenesis 712
  • Environmental Engineering 508
  • Geophysics 215
Replace F. M. Schwandner with:
F. M. Schwandner United States
Can Li United States
Fred Moshary United States
Daniel R. Hurtmans Belgium
Bo Galle Sweden
Gelsomina Pappalardo Italy
Lawrence F. Radke United States
Michael Herzog United Kingdom
R. M. Hoff United States
Nicole Bobrowski Germany
Kai Yang relative to F. M. Schwandner United States F. M. Schwandner's profile →
Citations per field
00.5×2×3×4.2×
F. M. Schwandner · 1×
Citations per year

Countries citing papers authored by Kai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Yang, 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 Kai Yang Line = papers co-authored together Kai Yang 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 2006235
2 2017199
3 2007176
4 2000170
5 2011146
6 2008133
7 2008129
8 2014120
9 2012118
10 2007115
11 2013110
12 201894
13 198894
14 200894
15 201086
16 201081
17 201378
18 201367
19 201166
20 201564

About Kai Yang

Kai Yang is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Geophysics and Media Technology, having authored 96 papers that have together received 3.6k indexed citations. Recurring topics across this work include Atmospheric Ozone and Climate (58 papers), Atmospheric chemistry and aerosols (55 papers), Atmospheric and Environmental Gas Dynamics (43 papers), Air Quality and Health Impacts (7 papers), Remote Sensing in Agriculture (7 papers), Atmospheric aerosols and clouds (7 papers), Advanced Chemical Physics Studies (6 papers) and Geological and Geochemical Analysis (5 papers). The work is most often cited by research in Atmospheric Science (2.7k citations), Global and Planetary Change (2.3k citations), Health, Toxicology and Mutagenesis (712 citations), Environmental Engineering (508 citations) and Geophysics (215 citations). Kai Yang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Nickolay Krotkov, Simon Carn, Pawan Kumar Bhartia, A. J. Krueger, Arlin J. Krueger, Pieternel Felicitas Levelt, Chris Anthony McLinden, Vitali Fioletov, Xiong LIu and K. Chance. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Atmospheric measurement techniques, Geophysical Research Letters, Atmospheric chemistry and physics 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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