Le Dinh Long

642 total citations
61 papers, 483 citations indexed

About

Le Dinh Long is a scholar working on Modeling and Simulation, Mathematical Physics and Applied Mathematics. According to data from OpenAlex, Le Dinh Long has authored 61 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Modeling and Simulation, 38 papers in Mathematical Physics and 29 papers in Applied Mathematics. Recurrent topics in Le Dinh Long's work include Fractional Differential Equations Solutions (44 papers), Numerical methods in inverse problems (37 papers) and Differential Equations and Boundary Problems (19 papers). Le Dinh Long is often cited by papers focused on Fractional Differential Equations Solutions (44 papers), Numerical methods in inverse problems (37 papers) and Differential Equations and Boundary Problems (19 papers). Le Dinh Long collaborates with scholars based in Vietnam, Türkiye and Romania. Le Dinh Long's co-authors include Nguyen Huy Tuan, Van Thinh Nguyen, Nguyen Hoang Luc, Nguyen Huu Can, Dumitru Bǎleanu, Salih Tatar, Mokhtar Kirane, Yong Zhou, Thanh Tran and Trần Thanh Bình and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Computers & Mathematics with Applications.

In The Last Decade

Le Dinh Long

54 papers receiving 467 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Le Dinh Long Vietnam 12 373 262 213 144 126 61 483
Nguyen Huu Can Vietnam 15 470 1.3× 189 0.7× 380 1.8× 111 0.8× 182 1.4× 60 630
Ali Demir Türkiye 11 277 0.7× 106 0.4× 150 0.7× 77 0.5× 194 1.5× 68 397
Berikbol T. Torebek Kazakhstan 14 161 0.4× 185 0.7× 432 2.0× 66 0.5× 159 1.3× 65 504
Durvudkhan Suragan Kazakhstan 14 148 0.4× 335 1.3× 531 2.5× 45 0.3× 171 1.4× 99 670
Ekin Uğurlu Türkiye 11 327 0.9× 347 1.3× 497 2.3× 27 0.2× 142 1.1× 57 748
Yavar Kian France 15 338 0.9× 444 1.7× 213 1.0× 153 1.1× 125 1.0× 60 637
Mirjana Stojanović Serbia 8 302 0.8× 55 0.2× 150 0.7× 61 0.4× 192 1.5× 29 376
Jianwen Zhou China 10 114 0.3× 60 0.2× 326 1.5× 36 0.3× 134 1.1× 28 391
Yurii F. Luchko Bulgaria 3 354 0.9× 75 0.3× 270 1.3× 63 0.4× 204 1.6× 3 466
Feliz Minhós Portugal 18 148 0.4× 86 0.3× 597 2.8× 56 0.4× 456 3.6× 94 748

Countries citing papers authored by Le Dinh Long

Since Specialization
Citations

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

Fields of papers citing papers by Le Dinh Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Le Dinh Long. 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 Le Dinh Long. The network helps show where Le Dinh Long may publish in the future.

Co-authorship network of co-authors of Le Dinh Long

This figure shows the co-authorship network connecting the top 25 collaborators of Le Dinh Long. A scholar is included among the top collaborators of Le Dinh Long 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 Le Dinh Long. Le Dinh Long 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
1.
Hải, Nguyễn Minh, et al.. (2024). On inverse source term for heat equation with memory term. Demonstratio Mathematica. 57(1). 2 indexed citations
3.
Thong, Duong Viet, Simeon Reich, Prasit Cholamjiak, & Le Dinh Long. (2024). Iterative methods for solving monotone variational inclusions without prior knowledge of the Lipschitz constant of the single-valued operator. Numerical Algorithms. 97(3). 1267–1300. 3 indexed citations
4.
Long, Le Dinh, Yusuf Gürefe, & Behrouz Parsa Moghaddam. (2024). Fractional Tikhonov regularization and error estimation in inverse source problems for Biharmonic equations: a priori and a posteriori analysis under deterministic and random perturbations. Numerical Algorithms. 100(1). 85–108. 3 indexed citations
5.
Long, Le Dinh, et al.. (2023). On a Non-local Sobolev–Galpern-Type Equation Associated with Random Noise. Bulletin of the Malaysian Mathematical Sciences Society. 46(6). 4 indexed citations
6.
Long, Le Dinh, et al.. (2023). On Cauchy problem for pseudo-parabolic equation with Caputo-Fabrizio operator. Demonstratio Mathematica. 56(1). 2 indexed citations
7.
Gürefe, Yusuf, Le Dinh Long, & Devendra Kumar. (2023). Regularization of Nonlocal Pseudo-Parabolic Equation with Random Noise. 1(1). 40–61. 2 indexed citations
8.
Long, Le Dinh, et al.. (2022). Inverse Source Problem for Sobolev Equation with Fractional Laplacian. Journal of Function Spaces. 2022. 1–12. 2 indexed citations
9.
Long, Le Dinh, et al.. (2022). Determine unknown source problem for time fractional pseudo-parabolic equation with Atangana-Baleanu Caputo fractional derivative. AIMS Mathematics. 7(9). 16147–16170. 3 indexed citations
10.
Luc, Nguyen Hoang, et al.. (2021). Regularization method for the problem of determining the source function using integral conditions. Advances in the Theory of Nonlinear Analysis and its Application. 5(3). 351–361. 10 indexed citations
11.
Long, Le Dinh, et al.. (2021). On Fractional Diffusion Equation with Caputo-Fabrizio Derivative and Memory Term. Advances in Mathematical Physics. 2021. 1–8.
12.
Long, Le Dinh. (2021). Note on a time fractional diffusion equation with time dependent variables coefficients. Advances in the Theory of Nonlinear Analysis and its Application. 5(4). 600–610. 5 indexed citations
13.
Luc, Nguyen Hoang, et al.. (2020). Modified Quasi Boundary Value method for inverse source biparabolic. Advances in the Theory of Nonlinear Analysis and its Application. 4(3). 132–142. 9 indexed citations
14.
Long, Le Dinh, Yong Zhou, Trần Thanh Bình, & Nguyen Huu Can. (2019). A Mollification Regularization Method for the Inverse Source Problem for a Time Fractional Diffusion Equation. Mathematics. 7(11). 1048–1048. 5 indexed citations
15.
Tuan, Nguyen Huy & Le Dinh Long. (2017). Fourier truncation method for an inverse source problem for space-time fractional diffusion equation. SHILAP Revista de lepidopterología. 8 indexed citations
16.
Tuan, Nguyen Huy, et al.. (2016). Filter regularization for an inverse parabolic problem in several variables. SHILAP Revista de lepidopterología. 11 indexed citations
17.
Tuan, Nguyen Huy, et al.. (2016). Inverse problem for nonlinear backward space-fractional diffusion equation. Journal of Inverse and Ill-Posed Problems. 25(4). 423–443. 9 indexed citations
18.
Tuan, Nguyen Huy, Le Dinh Long, & Van Thinh Nguyen. (2016). Regularized solution of an inverse source problem for a time fractional diffusion equation. Applied Mathematical Modelling. 40(19-20). 8244–8264. 59 indexed citations
19.
Tuan, Nguyen Huy, et al.. (2016). Identification and regularization for unknown source for a time-fractional diffusion equation. Computers & Mathematics with Applications. 73(6). 931–950. 19 indexed citations
20.
Arrigo, Daniel J., et al.. (2010). Nonclassical symmetries of a class of Burgers' systems. Journal of Mathematical Analysis and Applications. 371(2). 813–820. 13 indexed citations

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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