Vu Kim Tuan

1.5k citations
126 papers · 970 indexed · h-index 17
Topics
Numerical methods in inverse problems (41 papers)Mathematical functions and polynomials (38 papers)Differential Equations and Boundary Problems (32 papers)

In The Last Decade

Vu Kim Tuan

121 papers receiving 888 citations

Peers

Vu Kim Tuan
Comparison fields: 5 of 66
  • Applied Mathematics 627
  • Mathematical Physics 376
  • Modeling and Simulation 204
  • Numerical Analysis 149
  • Computational Theory and Mathematics 132
Replace Semyon Yakubovich with:
Semyon Yakubovich Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Vu Kim Tuan

Since Specialization
Citations

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

Fields of papers citing papers by Vu Kim Tuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vu Kim Tuan. 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 Vu Kim Tuan. The network helps show where Vu Kim Tuan may publish in the future.

Co-authorship network of co-authors of Vu Kim Tuan

This figure shows the co-authorship network connecting the top 25 collaborators of Vu Kim Tuan. A scholar is included among the top collaborators of Vu Kim Tuan 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 Vu Kim Tuan. Vu Kim Tuan 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 0
2 1
3 4
4 1
5 2
6
THE GENERALIZED CONVOLUTIONS WITH A WEIGHT FUNCTION FOR LAPLACE TRANSFORM
0
7 4
8
The problems of definitions and symbols of G- and H-functions of several variables
1
9
Some transformations and integral representations of horn's functions
1
10
A class of index integral transforms
0
11
Expressions of Legendre polynomials through Bernoulli polynomials
1
12 3
13
Weighted $L_P-$ Norm Inequalities For Various Convolution Type Transformations And Their Applications
4
14
Generalized Convolution Transforms and Toeplitz Plus Hankel Integral Equations
9
15
A Generalized Convolution with a Weight Function for the Fourier Cosine and Sine Transforms
11
16 9
17 4
18 21
19 17
20 1

About Vu Kim Tuan

Vu Kim Tuan is a scholar working on Applied Mathematics, Mathematical Physics and Modeling and Simulation, having authored 126 papers that have together received 970 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (41 papers), Mathematical functions and polynomials (38 papers) and Differential Equations and Boundary Problems (32 papers). The work is most often cited by research in Applied Mathematics (627 citations), Modeling and Simulation (204 citations) and Mathematical Physics (376 citations). Vu Kim Tuan has collaborated with scholars based in United States, Vietnam and Kuwait. Frequent co-authors include Amin Boumenir, Rudolf Gorenflo, Ahmed I. Zayed, Saburou Saitoh, Masahiro Yamamoto, Nguyễn Xuân Thảo, S. L. Kalla, N. Balakrishnan, M. E. Ghitany and Megumi Saigo. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and SIAM Journal on Numerical Analysis.

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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