Hung V. Ly
Impact in
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- Model Reduction and Neural Networks
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- Probabilistic and Robust Engineering Design
Papers in
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- Fluid Dynamics and Turbulent Flows 2
- Fluid Dynamics and Vibration Analysis 2
- Advanced Numerical Methods in Computational Mathematics 1
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- Lipid Membrane Structure and Behavior 4
- Co-authors
- Hien Tran (2 shared papers)Marjorie L. Longo (4 shared papers)Edriss S. Titi (2 shared papers)David E. Block (1 shared paper)Kenneth D. Mease (1 shared paper)Mark Jolly (3 shared papers)Fernando Reitich (2 shared papers)Kazufumi Ito (2 shared papers)
- Journals
- Journal of Computational Physics (1 paper)Macromolecular Symposia (1 paper)Mathematical and Computer Modelling (1 paper)Numerical Functional Analysis and Optimization (1 paper)Journal of Nonlinear Science (1 paper)
- Partner nations
- United States
In The Last Decade
Hung V. Ly
12 papers receiving 872 citations
Peers
Comparison fields: 5 of 109
- Statistical and Nonlinear Physics 300
- Statistics, Probability and Uncertainty 147
- Computational Mechanics 232
- Numerical Analysis 51
- Control and Systems Engineering 103
Countries citing papers authored by Hung V. Ly
This map shows the geographic impact of Hung V. Ly'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 Hung V. Ly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung V. Ly more than expected).
Fields of papers citing papers by Hung V. Ly
This network shows the impact of papers produced by Hung V. Ly. 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 Hung V. Ly. The network helps show where Hung V. Ly may publish in the future.
Co-authors
The 17 scholars most cited alongside Hung V. Ly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 272 | |
| 2 | 2004 | 253 | |
| 3 | 2002 | 128 | |
| 4 | 2002 | 78 | |
| 5 | 1999 | 57 | |
| 6 | 1997 | 49 | |
| 7 | 1999 | 28 | |
| 8 | 2005 | 25 | |
| 9 | 2007 | 17 | |
| 10 | 2001 | 8 | |
| 11 | 2005 | 5 | |
| 12 | 1999 | 1 |
About Hung V. Ly
Hung V. Ly is a scholar working on Computational Mechanics, Molecular Biology, Biomedical Engineering, Civil and Structural Engineering and Control and Systems Engineering, having authored 12 papers that have together received 921 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (4 papers), Vibration Control and Rheological Fluids (3 papers), Characterization and Applications of Magnetic Nanoparticles (3 papers), Fluid Dynamics and Turbulent Flows (2 papers), Fluid Dynamics and Vibration Analysis (2 papers), Navier-Stokes equation solutions (2 papers), Model Reduction and Neural Networks (2 papers) and Advanced Numerical Methods in Computational Mathematics (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (300 citations), Statistics, Probability and Uncertainty (147 citations), Computational Mechanics (232 citations), Numerical Analysis (51 citations) and Control and Systems Engineering (103 citations). Hung V. Ly has collaborated with scholars based in United States. Frequent co-authors include Hien Tran, Marjorie L. Longo, Edriss S. Titi, David E. Block, Kenneth D. Mease, Mark Jolly, Fernando Reitich, Kazufumi Ito, H. T. Banks and Erika Little. Their work appears in journals such as Journal of Computational Physics, Macromolecular Symposia, Mathematical and Computer Modelling, Numerical Functional Analysis and Optimization and Journal of Nonlinear Science.
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.