Gene Hou

1.7k total citations · 1 hit paper
73 papers, 1.3k citations indexed

About

Gene Hou is a scholar working on Computational Mechanics, Statistics, Probability and Uncertainty and Civil and Structural Engineering. According to data from OpenAlex, Gene Hou has authored 73 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Mechanics, 22 papers in Statistics, Probability and Uncertainty and 16 papers in Civil and Structural Engineering. Recurrent topics in Gene Hou's work include Probabilistic and Robust Engineering Design (22 papers), Computational Fluid Dynamics and Aerodynamics (20 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Gene Hou is often cited by papers focused on Probabilistic and Robust Engineering Design (22 papers), Computational Fluid Dynamics and Aerodynamics (20 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Gene Hou collaborates with scholars based in United States, Ghana and China. Gene Hou's co-authors include Jin Wang, Anita T. Layton, Perry A. Newman, Arthur C. Taylor, Clyde Gumbert, Vamshi Korivi, James C. Newman, Richard W. Barnwell, Peter Newman and Henry E. Jones and has published in prestigious journals such as Expert Systems with Applications, AIAA Journal and International Journal for Numerical Methods in Engineering.

In The Last Decade

Gene Hou

70 papers receiving 1.2k citations

Hit Papers

Numerical Methods for Fluid-Structure Interaction — A Review 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gene Hou United States 17 754 258 217 209 191 73 1.3k
Gareth A. Vio Australia 18 537 0.7× 160 0.6× 480 2.2× 474 2.3× 254 1.3× 94 1.2k
M. Pilch United States 10 728 1.0× 288 1.1× 424 2.0× 80 0.4× 73 0.4× 48 1.4k
Aziz Hamdouni France 17 559 0.7× 118 0.5× 129 0.6× 155 0.7× 179 0.9× 82 1.0k
Santiago Hernández Spain 25 596 0.8× 355 1.4× 338 1.6× 875 4.2× 221 1.2× 172 1.8k
Christian Rey France 19 431 0.6× 66 0.3× 185 0.9× 200 1.0× 437 2.3× 75 1.4k
Jean‐Sébastien Schotté France 9 812 1.1× 66 0.3× 84 0.4× 183 0.9× 412 2.2× 16 1.3k
Søren R. K. Nielsen Denmark 22 488 0.6× 298 1.2× 205 0.9× 880 4.2× 135 0.7× 81 1.5k
Thomas Rendall United Kingdom 23 1.7k 2.3× 280 1.1× 617 2.8× 330 1.6× 187 1.0× 147 2.3k
Franco Mastroddi Italy 18 433 0.6× 115 0.4× 472 2.2× 252 1.2× 147 0.8× 98 1.0k
Kevin J. Maki United States 19 881 1.2× 74 0.3× 341 1.6× 107 0.5× 97 0.5× 92 1.3k

Countries citing papers authored by Gene Hou

Since Specialization
Citations

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

Fields of papers citing papers by Gene Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Gene Hou. A scholar is included among the top collaborators of Gene 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 Gene Hou. Gene 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
1.
Hou, Gene, et al.. (2025). Fault Tree Analysis for Robust Design. Designs. 9(1). 19–19. 1 indexed citations
2.
Hou, Gene, et al.. (2023). Gradient-Based Trade-Off Design for Engineering Applications. Designs. 7(4). 81–81. 1 indexed citations
3.
Hou, Gene, et al.. (2018). Manual Revision Process for Project-Based Laboratory Instruction. 1 indexed citations
4.
Hou, Gene, et al.. (2017). Sensitivity analysis method to address user disparities in the analytic hierarchy process. Expert Systems with Applications. 90. 111–126. 44 indexed citations
5.
Hou, Gene, et al.. (2014). Static, Vibration Analysis and Sensitivity Analysis of Stepped Beams Using Singularity Functions. ODU Digital Commons (Old Dominion University). 2014. 1–13. 12 indexed citations
6.
Hou, Gene, Jin Wang, & Anita T. Layton. (2012). Numerical Methods for Fluid-Structure Interaction — A Review. Communications in Computational Physics. 12(2). 337–377. 467 indexed citations breakdown →
7.
Thornburgh, Robert, et al.. (2008). An Analytical and Experimental Study of a Scaled Helicopter Tailcone. 2 indexed citations
8.
Hou, Gene, et al.. (2006). Optimization of Intelligent Munition Warfare Using Agent-Based Simulation Software and Design of Experiments Methodology. Defense Technical Information Center (DTIC). 1 indexed citations
9.
Kaneko, Hideaki, Kim S. Bey, & Gene Hou. (2006). Discontinuous Galerkin finite element method for parabolic problems. Applied Mathematics and Computation. 182(1). 388–402. 6 indexed citations
10.
Bawab, Sebastian, et al.. (2005). Effects of Track Irregularities on Dynamic Responses of a Moving Maglev Train. SAE technical papers on CD-ROM/SAE technical paper series. 1 indexed citations
11.
Gumbert, Clyde, Perry A. Newman, & Gene Hou. (2004). High-Fidelity Computational Optimization for 3-D Flexible Wings: Part II—Effect of Random Geometric Uncertainty on Design. Optimization and Engineering. 6(1). 139–156. 16 indexed citations
12.
Gumbert, Clyde, Gene Hou, & Perry A. Newman. (2003). Reliability Assessment of a Robust Design Under Uncertainty for a 3-D Flexible Wing. NASA STI Repository (National Aeronautics and Space Administration). 15 indexed citations
13.
Nguyen, Duc T., Gene Hou, Bowen Han, & Hakizumwami Birali Runesha. (2000). Alternative approach for solving indefinite symmetrical system of equation. Advances in Engineering Software. 31(8-9). 581–584. 1 indexed citations
14.
Tiwari, S. N., et al.. (1997). Numerical simulation of human thermoregulation in different environmental conditions. 35th Aerospace Sciences Meeting and Exhibit. 3 indexed citations
15.
Kenny, Sean P. & Gene Hou. (1994). Approximate analysis for repeated eigenvalue problems with applications to controls-structure integrated design. STIN. 94. 37502. 2 indexed citations
16.
Hou, Gene, et al.. (1992). Eigenvalue sensitivity analysis of planar frames with variable jointand support locations. AIAA Journal. 30(8). 2138–2147. 16 indexed citations
17.
Hou, Gene, Arthur C. Taylor, & Vamshi Korivi. (1991). Discrete shape sensitivity equations for aerodynamic problems. 27th Joint Propulsion Conference. 7 indexed citations
18.
Hou, Gene, et al.. (1991). Eigenvalue sensitivity analysis of planar frames with variable jointand support locations. 32nd Structures, Structural Dynamics, and Materials Conference. 1 indexed citations
19.
Taylor, Arthur C., Vamshi Korivi, & Gene Hou. (1991). Approximate analysis and sensitivity analysis methods for viscous flow involving variation of geometric shape. 5 indexed citations
20.
Kenny, Sean P., Gene Hou, & W. Keith Belvin. (1990). Eigensensitivity in integrated design. NASA Technical Reports Server (NASA). 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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