Shin–Hwa Wang

515 citations
53 papers · 378 indexed · h-index 12
Topics
Nonlinear Partial Differential Equations (46 papers)Advanced Mathematical Modeling in Engineering (31 papers)Nonlinear Differential Equations Analysis (25 papers)

In The Last Decade

Shin–Hwa Wang

48 papers receiving 328 citations

Peers

Shin–Hwa Wang
Comparison fields: 5 of 25
  • Applied Mathematics 338
  • Computational Theory and Mathematics 202
  • Numerical Analysis 108
  • Mathematical Physics 76
  • Control and Systems Engineering 33
Replace Marek Galewski with:
Marek Galewski Poland
Zuodong Yang China
Juncheng Wei Hong Kong
Colette De Coster France
Fuyi Li China
M. N. Nkashama United States
Hiroyuki Usami Japan
Hossein Tehrani United States
Jacqueline Fleckinger France
Yasuhito Miyamoto Japan
Shin–Hwa Wang relative to Marek Galewski Poland Marek Galewski's profile →
Citations per field
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Marek Galewski · 1×
Citations per year

Countries citing papers authored by Shin–Hwa Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shin–Hwa Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shin–Hwa Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shin–Hwa Wang. A scholar is included among the top collaborators of Shin–Hwa Wang 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 Shin–Hwa Wang. Shin–Hwa Wang 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
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3 4
4
Classification and evolution of bifurcation curves for the one-dimensional perturbed Gelfand equation with mixed boundary conditions II
3
5 2
6 7
7 9
8 11
9 10
10 4
11 28
12 0
13 0
14 9
15 3
16 1
17 2
18 15
19 13
20 1

About Shin–Hwa Wang

Shin–Hwa Wang is a scholar working on Applied Mathematics, Numerical Analysis and Mathematical Physics, having authored 53 papers that have together received 378 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (46 papers), Advanced Mathematical Modeling in Engineering (31 papers) and Nonlinear Differential Equations Analysis (25 papers). The work is most often cited by research in Applied Mathematics (338 citations), Numerical Analysis (108 citations) and Computational Theory and Mathematics (202 citations). Shin–Hwa Wang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Nicholas D. Kazarinoff, Yuhao Liang, Chia-Hao Chuang, Junping Shi and Po‐Chun Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.

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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