Shankai Tang

636 total citations · 1 hit paper
29 papers, 466 citations indexed

About

Shankai Tang is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Shankai Tang has authored 29 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 17 papers in Atmospheric Science and 6 papers in Oceanography. Recurrent topics in Shankai Tang's work include Climate variability and models (19 papers), Meteorological Phenomena and Simulations (13 papers) and Oceanographic and Atmospheric Processes (6 papers). Shankai Tang is often cited by papers focused on Climate variability and models (19 papers), Meteorological Phenomena and Simulations (13 papers) and Oceanographic and Atmospheric Processes (6 papers). Shankai Tang collaborates with scholars based in China, United States and Malaysia. Shankai Tang's co-authors include Guolin Feng, Shaobo Qiao, Zhifeng Jia, Wenjie Dong, Jianbo Cheng, Bin Wang, Fei Liu, Weihong Luo, Taichen Feng and Shufeng Li and has published in prestigious journals such as Nature Communications, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Shankai Tang

28 papers receiving 454 citations

Hit Papers

Linkages of unprecedented 2022 Yangtze River Valley heatw... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Shankai Tang
Comparison fields: 5 of 39
  • Global and Planetary Change 350
  • Atmospheric Science 266
  • Environmental Engineering 114
  • Oceanography 73
  • Water Science and Technology 64
Replace Longhuan Wang with:
Longhuan Wang China
Ruichao Li China
Hsin-I Chang United States
Hongliang Xu China
Diego Fernández-Nóvoa Spain
Xin Lai China
Carol V. Tadros Australia
Lingling Song China
Longhuan Wang China View profile →
Citations per field, relative to Shankai Tang
Shankai Tang · 1×
Citations per year, relative to Shankai Tang
Shankai Tang · 1×

Countries citing papers authored by Shankai Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shankai Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shankai Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Shankai Tang. A scholar is included among the top collaborators of Shankai Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shankai Tang. Shankai Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 1
4 5
5 2
6
Linkages of unprecedented 2022 Yangtze River Valley heatwaves to Pakistan flood and triple-dip La Niña breakdown →
107
7 8
8 5
9 4
10 109
11 5
12 12
13 3
14 5
15 5
16 13
17 35
18 14
19 40
20 11

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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