Yaotian Shen

663 citations
44 papers · 460 indexed · h-index 10
Topics
Nonlinear Partial Differential Equations (39 papers)Advanced Mathematical Modeling in Engineering (28 papers)Advanced Mathematical Physics Problems (13 papers)
Partner nations
ChinaBrazilTaiwan

In The Last Decade

Yaotian Shen

40 papers receiving 428 citations

Peers

Yaotian Shen
Comparison fields: 5 of 19
  • Applied Mathematics 433
  • Mathematical Physics 330
  • Computational Theory and Mathematics 234
  • Numerical Analysis 38
  • Mechanics of Materials 22
Replace Sérgio H. Monari Soares with:
Sérgio H. Monari Soares Brazil
Shinji Adachi Japan
Sasun Yakubov Israel
Florin Catrina United States
Elves A. B. Silva Brazil
Mabel Cuesta France
Marcelo F. Furtado Brazil
Enrico Jannelli Italy
P. N. Srikanth India
Yuanze Wu China
Yaotian Shen relative to Sérgio H. Monari Soares Brazil Sérgio H. Monari Soares's profile →
Citations per field
00.5×1.6×
Sérgio H. Monari Soares · 1×
Citations per year

Countries citing papers authored by Yaotian Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yaotian Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaotian Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yaotian Shen. A scholar is included among the top collaborators of Yaotian Shen 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 Yaotian Shen. Yaotian Shen 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 5
2 4
3 10
4 67
5 149
6 3
7 2
8 1
9
An application of nonsmooth critical point theory
4
10 0
11 0
12 16
13 6
14 2
15 7
16 4
17 11
18 8
19 3
20 6

About Yaotian Shen

Yaotian Shen is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 44 papers that have together received 460 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (39 papers), Advanced Mathematical Modeling in Engineering (28 papers) and Advanced Mathematical Physics Problems (13 papers). The work is most often cited by research in Applied Mathematics (433 citations), Mathematical Physics (330 citations) and Computational Theory and Mathematics (234 citations). Yaotian Shen has collaborated with scholars based in China, Brazil and Taiwan. Frequent co-authors include Youjun Wang, Claudianor O. Alves, Yimin Zhang, Shusen Yan and Rongxin Wang. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Applied Mathematics and Computation and Journal of Differential Equations.

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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