Hoang Tran

712 total citations
25 papers, 408 citations indexed

About

Hoang Tran is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, Hoang Tran has authored 25 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 5 papers in Computational Theory and Mathematics and 4 papers in Mechanical Engineering. Recurrent topics in Hoang Tran's work include Advanced Numerical Methods in Computational Mathematics (9 papers), Sparse and Compressive Sensing Techniques (6 papers) and Computational Fluid Dynamics and Aerodynamics (4 papers). Hoang Tran is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (9 papers), Sparse and Compressive Sensing Techniques (6 papers) and Computational Fluid Dynamics and Aerodynamics (4 papers). Hoang Tran collaborates with scholars based in United States and Germany. Hoang Tran's co-authors include William Layton, Cătălin Trenchea, Clayton Webster, Xin Xiong, Anh Tran, Nick Dexter, Abdellah Chkifa, Nan Jiang, Guannan Zhang and Akil Narayan and has published in prestigious journals such as Acta Materialia, IEEE Transactions on Power Systems and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Hoang Tran

24 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hoang Tran United States	12	297	105	64	49	44	25	408
Jan Valdman Czechia	11	161 0.5×	122 1.2×	25 0.4×	85 1.7×	15 0.3×	38	341
Marzio Sala Switzerland	10	195 0.7×	151 1.4×	55 0.9×	43 0.9×	14 0.3×	20	361
Robert Luce France	10	207 0.7×	107 1.0×	26 0.4×	27 0.6×	4 0.1×	38	383
Anthony Nouy France	9	129 0.4×	92 0.9×	37 0.6×	35 0.7×	184 4.2×	27	441
David Krieg Austria	7	120 0.4×	43 0.4×	115 1.8×	160 3.3×	73 1.7×	22	587
Chang-Ock Lee South Korea	9	141 0.5×	64 0.6×	36 0.6×	45 0.9×	6 0.1×	44	293
Marcus Meyer Germany	11	228 0.8×	81 0.8×	36 0.6×	21 0.4×	162 3.7×	70	505
Susanne Claus United Kingdom	11	511 1.7×	171 1.6×	20 0.3×	38 0.8×	35 0.8×	19	766
Winnifried Wollner Germany	13	391 1.3×	224 2.1×	92 1.4×	19 0.4×	15 0.3×	49	631
Ryuji Shioya Japan	12	208 0.7×	56 0.5×	9 0.1×	10 0.2×	16 0.4×	49	423

Countries citing papers authored by Hoang Tran

Since Specialization

Citations

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

Fields of papers citing papers by Hoang Tran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hoang Tran

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

All Works

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20 of 20 papers shown

Tran, Hoang, et al.. (2024). Advanced Compressive Sensing and Dynamic Sampling for 4D‐STEM Imaging of Interfaces. Small Methods. 9(1). e2400742–e2400742. 1 indexed citations

Tran, Hoang, et al.. (2024). Compressive‐Sensing‐Assisted Mixed Integer Optimization for Dynamical System Discovery With Highly Noisy Data. Numerical Methods for Partial Differential Equations. 41(1). 1 indexed citations

Tran, Hoang, et al.. (2023). Measuring tree stem diameters and straightness with depth-image computer vision. Journal of Forestry Research. 34(5). 1395–1405. 1 indexed citations

Wilson, Aaron, Hoang Tran, & Dan Lu. (2023). Uncertainty Quantification of Capacitor Switching Transient Location Using Machine Learning. IEEE Transactions on Power Systems. 39(2). 2410–2420. 2 indexed citations

Tran, Hoang & Clayton Webster. (2022). Analysis of sparse recovery for Legendre expansions using envelope bound. Numerical Methods for Partial Differential Equations. 38(6). 2163–2198. 1 indexed citations

Radaideh, Majdi I., et al.. (2022). Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions. arXiv (Cornell University). 5 indexed citations

Tran, Hoang, et al.. (2022). Compressive-Sensing-Assisted Mixed Integer Optimization for Dynamical System Discovery with Highly Noisy Data. SSRN Electronic Journal. 2 indexed citations

Archibald, Richard & Hoang Tran. (2021). A dictionary learning algorithm for compression and reconstruction of streaming data in preset order. Discrete and Continuous Dynamical Systems - S. 15(4). 655–668.

Narayan, Akil, et al.. (2021). Analysis of the ratio of ℓ1 and ℓ2 norms in compressed sensing. Applied and Computational Harmonic Analysis. 55. 486–511. 18 indexed citations

10.

Tran, Anh, Dehao Liu, Hoang Tran, & Yan Wang. (2019). Quantifying uncertainty in the process-structure relationship for Al–Cu solidification. Modelling and Simulation in Materials Science and Engineering. 27(6). 64005–64005. 11 indexed citations

11.

Tran, Anh & Hoang Tran. (2019). Data-driven high-fidelity 2D microstructure reconstruction via non-local patch-based image inpainting. Acta Materialia. 178. 207–218. 18 indexed citations

12.

Tran, Hoang & Clayton Webster. (2017). Unified sufficient conditions for uniform recovery of sparse signals via nonconvex minimizations. arXiv (Cornell University). 3 indexed citations

13.

Tran, Hoang, et al.. (2017). Non-Iterative Partitioned Methods for Uncoupling Evolutionary Groundwater–Surface Water Flows. Fluids. 2(3). 47–47. 3 indexed citations

14.

Bukač, Martina, et al.. (2015). Analysis of partitioned methods for the Biot System. Numerical Methods for Partial Differential Equations. 31(6). 1769–1813. 12 indexed citations

15.

Jiang, Nan & Hoang Tran. (2015). Analysis of a Stabilized CNLF Method with Fast Slow Wave Splittings for Flow Problems. Computational Methods in Applied Mathematics. 15(3). 307–330. 11 indexed citations

16.

Jiang, Nan, et al.. (2014). A Crank–Nicolson Leapfrog stabilization: Unconditional stability and two applications. Journal of Computational and Applied Mathematics. 281. 263–276. 20 indexed citations

17.

Layton, William, Hoang Tran, & Cătălin Trenchea. (2014). Numerical analysis of two partitioned methods for uncoupling evolutionary MHD flows. Numerical Methods for Partial Differential Equations. 30(4). 1083–1102. 43 indexed citations

18.

Layton, William, Hoang Tran, & Xin Xiong. (2012). Long time stability of four methods for splitting the evolutionary Stokes–Darcy problem into Stokes and Darcy subproblems. Journal of Computational and Applied Mathematics. 236(13). 3198–3217. 48 indexed citations

19.

Layton, William, et al.. (2011). Explicitly uncoupled VMS stabilization of fluid flow. Computer Methods in Applied Mechanics and Engineering. 200(45-46). 3183–3199. 13 indexed citations

20.

Tran, Hoang, et al.. (2009). Facile pyrolytic synthesis of silicon nanowires. 4. 1–2. 1 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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