Thomas Y. Hou

12.6k total citations · 5 hit papers
159 papers, 8.5k citations indexed

About

Thomas Y. Hou is a scholar working on Computational Mechanics, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Thomas Y. Hou has authored 159 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Computational Mechanics, 50 papers in Applied Mathematics and 46 papers in Computational Theory and Mathematics. Recurrent topics in Thomas Y. Hou's work include Advanced Numerical Methods in Computational Mathematics (52 papers), Computational Fluid Dynamics and Aerodynamics (47 papers) and Navier-Stokes equation solutions (46 papers). Thomas Y. Hou is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (52 papers), Computational Fluid Dynamics and Aerodynamics (47 papers) and Navier-Stokes equation solutions (46 papers). Thomas Y. Hou collaborates with scholars based in United States, China and Hong Kong. Thomas Y. Hou's co-authors include Xiaohui Wu, Yalchin Efendiev, John Lowengrub, Zuoqiang Shi, Congming Li, Zhiming Chen, Juan Galvis, Michael Shelley, Zhiqiang Cai and Philippe G. LeFloch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Thomas Y. Hou

155 papers receiving 7.8k citations

Hit Papers

A Multiscale Finite Element Method for Elliptic Problems ... 1994 2026 2004 2015 1997 2013 1994 2009 2005 400 800 1.2k

Peers

Thomas Y. Hou
Comparison fields: 5 of 126
  • Computational Mechanics 5.8k
  • Computational Theory and Mathematics 4.0k
  • Mechanics of Materials 3.3k
  • Applied Mathematics 1.5k
  • Mathematical Physics 969
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Citations per field, relative to Thomas Y. Hou
Thomas Y. Hou · 1×
Citations per year, relative to Thomas Y. Hou
Thomas Y. Hou · 1×

Countries citing papers authored by Thomas Y. Hou

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Y. Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Y. Hou. 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 Thomas Y. Hou. The network helps show where Thomas Y. Hou may publish in the future.

Co-authorship network of co-authors of Thomas Y. Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Y. Hou. A scholar is included among the top collaborators of Thomas Y. Hou 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 Thomas Y. Hou. Thomas Y. Hou 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
# Work Indexed citations
1 0
2 5
3 2
4 2
5 7
6 11
7 3
8
A Model Reduction Method for Elliptic PDEs with Random Input Using the Heterogeneous Stochastic FEM Framework
2
9 34
10
Sparse Time-Frequency decomposition by adaptive basis pursuit.
2
11 3
12 10
13 10
14 18
15 87
16 23
17 129
18 3
19 172
20 4

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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