Dang Duc Trong

971 citations
84 papers · 700 indexed · h-index 15
Topics
Numerical methods in inverse problems (58 papers)Advanced Mathematical Modeling in Engineering (38 papers)Fractional Differential Equations Solutions (17 papers)

In The Last Decade

Dang Duc Trong

73 papers receiving 643 citations

Peers

Dang Duc Trong
Comparison fields: 5 of 50
  • Mathematical Physics 535
  • Computational Theory and Mathematics 325
  • Mechanics of Materials 233
  • Applied Mathematics 215
  • Modeling and Simulation 162
Replace M. Thamban Nair with:
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A. Shidfar Iran
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Citations per field
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Countries citing papers authored by Dang Duc Trong

Since Specialization
Citations

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

Fields of papers citing papers by Dang Duc Trong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dang Duc Trong. 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 Dang Duc Trong. The network helps show where Dang Duc Trong may publish in the future.

Co-authorship network of co-authors of Dang Duc Trong

This figure shows the co-authorship network connecting the top 25 collaborators of Dang Duc Trong. A scholar is included among the top collaborators of Dang Duc Trong 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 Dang Duc Trong. Dang Duc Trong 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 0
3 1
4 0
5 10
6 0
7 22
8
A final value problem for heat equation: regularization by truncation method and new error estimates.
3
9
Remarks on a 2-D nonlinear backward heat problem using a truncated Fourier series method.
4
10
A quasi-boundary value method for regularizing nonlinear ill-posed problems.
20
11
Stabilized quasi-reversibility method for a class of nonlinear ill-posed problems
23
12
A NONHOMOGENEOUS BACKWARD HEAT PROBLEM: REGULARIZATION AND ERROR ESTIMATES
29
13 2
14 46
15 46
16 2
17 3
18 11
19 4
20 50

About Dang Duc Trong

Dang Duc Trong is a scholar working on Mathematical Physics, Modeling and Simulation and Numerical Analysis, having authored 84 papers that have together received 700 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (58 papers), Advanced Mathematical Modeling in Engineering (38 papers) and Fractional Differential Equations Solutions (17 papers). The work is most often cited by research in Mathematical Physics (535 citations), Modeling and Simulation (162 citations) and Applied Mathematics (215 citations). Dang Duc Trong has collaborated with scholars based in Vietnam, United States and France. Frequent co-authors include Nguyen Huy Tuan, Masahiro Yamamoto, Rudolf Gorenflo, Nguyễn Thành Long, Masaru Ikehata, Vy Khoi Le, Phan Thành Nam, Erkan Nane, Alain Pham Ngoc Dinh and Hoang‐Hung Vo. Their work appears in journals such as SHILAP Revista de lepidopterología, Lecture notes in mathematics and Journal of Mathematical Analysis and Applications.

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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