Justin Dong

4.6k total citations
6 papers, 46 citations indexed

About

Justin Dong is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Justin Dong has authored 6 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mechanics, 3 papers in Statistical and Nonlinear Physics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Justin Dong's work include Advanced Numerical Methods in Computational Mathematics (4 papers), Model Reduction and Neural Networks (3 papers) and Advanced Mathematical Modeling in Engineering (3 papers). Justin Dong is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (4 papers), Model Reduction and Neural Networks (3 papers) and Advanced Mathematical Modeling in Engineering (3 papers). Justin Dong collaborates with scholars based in United States. Justin Dong's co-authors include Mark Ainsworth, Béatrice Rivière, Ravi G. Patel, Martin Maxey, Marta D’Elia and Panos Stinis and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, SIAM Journal on Scientific Computing and Rheologica Acta.

In The Last Decade

Justin Dong

5 papers receiving 46 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin Dong United States	4	32	25	12	12	6	6	46
Felix Draxler Germany	3	25 0.8×	19 0.8×	3 0.3×	34 2.8×	3 0.5×	3	81
Kristofer Drozd United States	3	28 0.9×	10 0.4×	2 0.2×	5 0.4×	7 1.2×	10	67
Jérémy Blanc France	9	10 0.3×	11 0.4×	6 0.5×	5 0.4×		27	171
Lukas Felsberger Switzerland	4	9 0.3×	5 0.2×	2 0.2×	7 0.6×	5 0.8×	9	40
Yuji Odaka Japan	10	12 0.4×	10 0.4×	7 0.6×		6 1.0×	22	297
Zhuang Niu China	9	38 1.2×	2 0.1×	18 1.5×	4 0.3×		26	201
Andrej Muhič Slovenia	5	10 0.3×	17 0.7×	17 1.4×	8 0.7×		9	105
S. Bock Germany	10	33 1.0×	12 0.5×	60 5.0×			23	266
Xenia Miscouridou United Kingdom	4	7 0.2×	10 0.4×	1 0.1×	17 1.4×		7	42
Viktor Szabó Hungary	7	4 0.1×	17 0.7×		4 0.3×	1 0.2×	24	86

Countries citing papers authored by Justin Dong

Since Specialization

Citations

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

Fields of papers citing papers by Justin Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Dong. 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 Justin Dong. The network helps show where Justin Dong may publish in the future.

Co-authorship network of co-authors of Justin Dong

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Ainsworth, Mark & Justin Dong. (2025). Extended Galerkin Neural Network Approximation of Singular Variational Problems with Error Control. SIAM Journal on Scientific Computing. 47(3). C738–C768.

2.

Dong, Justin, et al.. (2023). Machine learning methods for particle stress development in suspension Poiseuille flows. Rheologica Acta. 62(10). 507–534. 5 indexed citations

3.

Ainsworth, Mark & Justin Dong. (2022). Galerkin neural network approximation of singularly-perturbed elliptic systems. Computer Methods in Applied Mechanics and Engineering. 402. 115169–115169. 9 indexed citations

4.

Ainsworth, Mark & Justin Dong. (2021). Galerkin Neural Networks: A Framework for Approximating Variational Equations with Error Control. SIAM Journal on Scientific Computing. 43(4). A2474–A2501. 23 indexed citations

5.

Dong, Justin & Béatrice Rivière. (2016). A semi-implicit method for incompressible three-phase flow in porous media. Computational Geosciences. 20(6). 1169–1184. 6 indexed citations

6.

Dong, Justin. (2014). A High Order Method for Three Phase Flow in Homogeneous Porous Media. 7. 3 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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