Chaoli Tang

545 citations
50 papers · 317 · h-index 10

Impact in

Papers in

    • Atmospheric chemistry and aerosols 9
    • Atmospheric Ozone and Climate 8
    • Climate variability and models 8
    • Atmospheric and Environmental Gas Dynamics 5
    • Atmospheric aerosols and clouds 5

Chaoli Tang

45 papers receiving 300 citations

Peers

Chaoli Tang
Comparison fields: 5 of 95
  • Atmospheric Science 67
  • Global and Planetary Change 52
  • Computer Networks and Communications 49
  • Environmental Engineering 28
  • Cognitive Neuroscience 33
Replace Marco Allegretti with:
Marco Allegretti Italy
Rui Song China
Antonio Pistorio Italy
Sergey Sukhanov Germany
S. Venkatesh India
Li Xie China
Gareth Lee Australia
Sung-Won Park South Korea
Samantha V. Adams United Kingdom
Chaoli Tang relative to Marco Allegretti Italy Marco Allegretti's profile →
Citations per field
00.5×11×
Marco Allegretti · 1×
Citations per year

Countries citing papers authored by Chaoli Tang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoli Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201447
2 201420
3 202418
4 202317
5 201515
6 201614
7 201711
8 202410
9 200710
10 20239
11 20229
12 20159
13 20239
14 20179
15 20248
16 20077
17 20227
18 20227
19 20246
20 20126

About Chaoli Tang

Chaoli Tang is a scholar working on Atmospheric Science, Global and Planetary Change, Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 50 papers that have together received 317 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (9 papers), Climate variability and models (8 papers), Atmospheric Ozone and Climate (8 papers), Atmospheric and Environmental Gas Dynamics (5 papers), Atmospheric aerosols and clouds (5 papers), Air Quality Monitoring and Forecasting (5 papers), Advanced Algorithms and Applications (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). The work is most often cited by research in Atmospheric Science (67 citations), Global and Planetary Change (52 citations), Computer Networks and Communications (49 citations), Environmental Engineering (28 citations) and Cognitive Neuroscience (33 citations). Chaoli Tang has collaborated with scholars based in China, Taiwan and Romania. Frequent co-authors include Yourui Huang, Dequan Li, Heli Wei, Kuan‐Chia Lin, T.‐J. Chen, Yi‐Tzu Chen, Siwei Li, Jong‐Ling Fuh, Shuu‐Jiun Wang and Shuang Wang. Their work appears in journals such as Atmosphere, Atmospheric Environment, Analytical and Bioanalytical Chemistry, INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences and Ecological Indicators.

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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