H.C. Vu-Do

760 total citations
8 papers, 668 citations indexed

About

H.C. Vu-Do is a scholar working on Mechanics of Materials, Computational Mechanics and Civil and Structural Engineering. According to data from OpenAlex, H.C. Vu-Do has authored 8 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanics of Materials, 4 papers in Computational Mechanics and 3 papers in Civil and Structural Engineering. Recurrent topics in H.C. Vu-Do's work include Composite Structure Analysis and Optimization (4 papers), Numerical methods in engineering (4 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). H.C. Vu-Do is often cited by papers focused on Composite Structure Analysis and Optimization (4 papers), Numerical methods in engineering (4 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). H.C. Vu-Do collaborates with scholars based in Vietnam, Singapore and Netherlands. H.C. Vu-Do's co-authors include T. Nguyen‐Thoi, H. Nguyen‐Xuan, Timon Rabczuk, Loc V. Tran, Gang Liu, G. R. Liu, T. Vo-Duy, V. Ho-Huu, Tam T. Truong and Konstantin Brenner and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Composite Structures and Computational Mechanics.

In The Last Decade

H.C. Vu-Do

8 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H.C. Vu-Do Vietnam	5	554	238	216	115	89	8	668
Hirohisa Noguchi Japan	14	327 0.6×	268 1.1×	198 0.9×	129 1.1×	29 0.3×	58	588
Javad Alamatian Iran	13	296 0.5×	345 1.4×	71 0.3×	140 1.2×	44 0.5×	36	550
Martin Heinstein United States	13	420 0.8×	154 0.6×	438 2.0×	99 0.9×	65 0.7×	32	722
Domenico Magisano Italy	18	681 1.2×	451 1.9×	363 1.7×	207 1.8×	21 0.2×	41	951
Leonardo Leonetti Italy	20	858 1.5×	542 2.3×	441 2.0×	258 2.2×	37 0.4×	54	1.2k
Ashok V. Kumar United States	13	245 0.4×	142 0.6×	206 1.0×	84 0.7×	59 0.7×	54	506
R.E. Hobbs United Kingdom	16	507 0.9×	347 1.5×	136 0.6×	244 2.1×	39 0.4×	52	775
Nguyen Dang Hung Belgium	18	1.0k 1.9×	420 1.8×	354 1.6×	244 2.1×	84 0.9×	42	1.2k
Carlos Magluta Brazil	15	260 0.5×	319 1.3×	68 0.3×	148 1.3×	38 0.4×	59	609
Yosuke Tanigawa Japan	14	559 1.0×	202 0.8×	39 0.2×	150 1.3×	131 1.5×	128	849

Countries citing papers authored by H.C. Vu-Do

Since Specialization

Citations

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

Fields of papers citing papers by H.C. Vu-Do

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.C. Vu-Do. 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 H.C. Vu-Do. The network helps show where H.C. Vu-Do may publish in the future.

Co-authorship network of co-authors of H.C. Vu-Do

This figure shows the co-authorship network connecting the top 25 collaborators of H.C. Vu-Do. A scholar is included among the top collaborators of H.C. Vu-Do 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 H.C. Vu-Do. H.C. Vu-Do is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Ly, Duy-Khuong, H.C. Vu-Do, Chanachai Thongchom, & T. Nguyen‐Thoi. (2025). A multiscale and multiphysical numerical approach for sandwich multiphase hybrid fiber plates with smart composite facesheets. Engineering Analysis with Boundary Elements. 173. 106134–106134. 2 indexed citations

Vo-Duy, T., et al.. (2019). A Type of Novel Nonlinear Distributions for Improving Significantly the Stiffness of Carbon Nanotube-Reinforced Composite Beams. International Journal of Computational Methods. 17(8). 1950057–1950057. 4 indexed citations

Vo-Duy, T., et al.. (2017). Multi-objective optimization of laminated composite beam structures using NSGA-II algorithm. Composite Structures. 168. 498–509. 112 indexed citations

Brenner, Konstantin, Danielle Hilhorst, & H.C. Vu-Do. (2015). The Generalized Finite Volume SUSHI Scheme for the Discretization of Richards Equation. Vietnam Journal of Mathematics. 44(3). 557–586. 3 indexed citations

Nguyen‐Xuan, H., Loc V. Tran, T. Nguyen‐Thoi, & H.C. Vu-Do. (2011). Analysis of functionally graded plates using an edge-based smoothed finite element method. Composite Structures. 93(11). 3019–3039. 150 indexed citations

Nguyen‐Thoi, T., H.C. Vu-Do, Timon Rabczuk, & H. Nguyen‐Xuan. (2010). A node-based smoothed finite element method (NS-FEM) for upper bound solution to visco-elastoplastic analyses of solids using triangular and tetrahedral meshes. Computer Methods in Applied Mechanics and Engineering. 199(45-48). 3005–3027. 158 indexed citations

Nguyen‐Thoi, T., Gang Liu, H.C. Vu-Do, & H. Nguyen‐Xuan. (2009). A face-based smoothed finite element method (FS-FEM) for visco-elastoplastic analyses of 3D solids using tetrahedral mesh. Computer Methods in Applied Mechanics and Engineering. 198(41-44). 3479–3498. 138 indexed citations

Nguyen‐Thoi, T., G. R. Liu, H.C. Vu-Do, & H. Nguyen‐Xuan. (2009). An edge-based smoothed finite element method for visco-elastoplastic analyses of 2D solids using triangular mesh. Computational Mechanics. 45(1). 23–44. 101 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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