Lin Wan-Tao

1.0k citations
79 papers · 871 indexed · h-index 18
Topics
Differential Equations and Numerical Methods (52 papers)Arctic and Antarctic ice dynamics (23 papers)Climate variability and models (21 papers)
Partner nations
ChinaItalyUnited Kingdom

In The Last Decade

Lin Wan-Tao

67 papers receiving 661 citations

Peers

Lin Wan-Tao
Comparison fields: 5 of 58
  • Numerical Analysis 505
  • Atmospheric Science 316
  • Global and Planetary Change 301
  • Modeling and Simulation 175
  • Statistical and Nonlinear Physics 175
Replace Xijun Yu with:
Xijun Yu China
Scott R. Fulton United States
Rodolfo Bermejo Spain
Hans Van de Vyver Belgium
Shane R. Keating Australia
Sudi Mungkasi Indonesia
Zuhan Liu China
V. P. Shutyaev Russia
Swaroop Nandan Bora India
R. E. Grundy United Kingdom
Lin Wan-Tao relative to Xijun Yu China Xijun Yu's profile →
Citations per field
00.5×6.7×
Xijun Yu · 1×
Citations per year

Countries citing papers authored by Lin Wan-Tao

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wan-Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin Wan-Tao. 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 Lin Wan-Tao. The network helps show where Lin Wan-Tao may publish in the future.

Co-authorship network of co-authors of Lin Wan-Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Wan-Tao. A scholar is included among the top collaborators of Lin Wan-Tao 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 Lin Wan-Tao. Lin Wan-Tao 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
#WorkIndexed citations
1 1
2 11
3 0
4 1
5 1
6 5
7 0
8 1
9 3
10 11
11 2
12 4
13 24
14 2
15 4
16
A PERTURBED SOLUTION OF SEA-AIR OSCILLATOR FOR THE ENSO MECHANISM
2
17 3
18 21
19 1
20 2

About Lin Wan-Tao

Lin Wan-Tao is a scholar working on Numerical Analysis, Modeling and Simulation and Atmospheric Science, having authored 79 papers that have together received 871 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (52 papers), Arctic and Antarctic ice dynamics (23 papers) and Climate variability and models (21 papers). The work is most often cited by research in Numerical Analysis (505 citations), Modeling and Simulation (175 citations) and Atmospheric Science (316 citations). Lin Wan-Tao has collaborated with scholars based in China, Italy and United Kingdom. Frequent co-authors include Mo Jia-Qi, Lin Yi-Hua, Hui Wang, Filippo Giorgi, Yong Luo, Xuejie Gao, Zhao Zongci, Jiang Zhu, Hui Wang and Yong Zhang. Their work appears in journals such as Advances in Atmospheric Sciences, Progress in Natural Science Materials International and Applied Mathematics and Mechanics.

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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