Weihe Wang

430 citations
44 papers · 316 · h-index 11

Impact in

    • Atmospheric chemistry and aerosols
    • Atmospheric Ozone and Climate
    • Meteorological Phenomena and Simulations
    • Atmospheric and Environmental Gas Dynamics
    • Atmospheric aerosols and clouds
    • Climate variability and models

Papers in

Weihe Wang

36 papers receiving 297 citations

Peers

Weihe Wang
Comparison fields: 5 of 58
  • Atmospheric Science 212
  • Global and Planetary Change 192
  • Health, Toxicology and Mutagenesis 55
  • Environmental Engineering 47
  • Earth-Surface Processes 10
Replace Chitra Sivaraman with:
Chitra Sivaraman United States
Tie Dai China
Mayumi Yoshida Japan
Yahui Che China
T. Elías France
Yang Lv China
Jae-Hwan Kim South Korea
Faisal S. Boudala Canada
Robert Höller Austria
W. M. F. Wauben Netherlands
Weihe Wang relative to Chitra Sivaraman United States Chitra Sivaraman's profile →
Citations per field
00.5×2.5×
Chitra Sivaraman · 1×
Citations per year

Countries citing papers authored by Weihe Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weihe Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 202041
3 201124
4 202018
5 201617
6 201013
7 200913
8 201512
9 201211
10 201411
11 201111
12 20239
13 20118
14 20128
15 20227
16 20227
17 20226
18 20225
19 20224
20 20144

About Weihe Wang

Weihe Wang is a scholar working on Atmospheric Science, Global and Planetary Change, Electrical and Electronic Engineering, Aerospace Engineering and Artificial Intelligence, having authored 44 papers that have together received 316 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (25 papers), Atmospheric Ozone and Climate (21 papers), Atmospheric and Environmental Gas Dynamics (13 papers), Atmospheric aerosols and clouds (10 papers), Calibration and Measurement Techniques (5 papers), Advanced Memory and Neural Computing (4 papers), Advanced Graph Neural Networks (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Atmospheric Science (212 citations), Global and Planetary Change (192 citations), Health, Toxicology and Mutagenesis (55 citations), Environmental Engineering (47 citations) and Earth-Surface Processes (10 citations). Weihe Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xingying Zhang, Shupeng Wang, Peng Zhang, Fuxiang Huang, Dianxiu Ye, Xi Wang, Wenguang Bai, Yongmei Wang, Liping Fu and Fuqi Si. Their work appears in journals such as Remote Sensing, Advances in Atmospheric Sciences, Atmosphere, IEEE Transactions on Geoscience and Remote Sensing and Journal of Atmospheric and Oceanic Technology.

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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