Ming‐Chen Hsu
Impact in
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- Computational Geometry and Mesh Generation
- Computer Graphics and Visualization Techniques
- Computational Mechanics top 0.02%
- Advanced Numerical Analysis Techniques
- Advanced Numerical Methods in Computational Mathematics
- Fluid Dynamics and Vibration Analysis
- Lattice Boltzmann Simulation Studies
- Computational Fluid Dynamics and Aerodynamics
Papers in
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- Advanced Numerical Analysis Techniques 47
- Advanced Numerical Methods in Computational Mathematics 40
- Computational Fluid Dynamics and Aerodynamics 16
- Fluid Dynamics and Vibration Analysis 15
- Lattice Boltzmann Simulation Studies 14
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- Computer Graphics and Visualization Techniques 17
- Co-authors
- Yuri Bazilevs (65 shared papers)Thomas J.R. Hughes (13 shared papers)David J. Benson (7 shared papers)Josef Kiendl (8 shared papers)David Kamensky (17 shared papers)I. Akkerman (6 shared papers)Tayfun E. Tezduyar (14 shared papers)Kenji Takizawa (13 shared papers)
- Journals
- Computer Methods in Applied Mechanics and Engineering (24 papers)Computational Mechanics (16 papers)Computers & Fluids (6 papers)International Journal for Numerical Methods in Engineering (5 papers)Mathematical Models and Methods in Applied Sciences (5 papers)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Ming‐Chen Hsu
144 papers receiving 10.5k citations
Ming‐Chen Hsu's Hit Papers
Peers
Comparison fields: 5 of 163
- Computer Graphics and Computer-Aided Design 1.9k
- Computational Mechanics 7.7k
- Mechanics of Materials 2.3k
- Statistical and Nonlinear Physics 684
- Computational Theory and Mathematics 914
Countries citing papers authored by Ming‐Chen Hsu
This map shows the geographic impact of Ming‐Chen Hsu'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 Ming‐Chen Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chen Hsu more than expected).
Fields of papers citing papers by Ming‐Chen Hsu
This network shows the impact of papers produced by Ming‐Chen Hsu. 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 Ming‐Chen Hsu. The network helps show where Ming‐Chen Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Chen Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Isogeometric shell analysis: The Reissner–Mindlin shell Hit paper breakdown → | 2009 | 584 |
| 2 | The bending strip method for isogeometric analysis of Kirchhoff–Love shell structures comprised of multiple patches Hit paper breakdown → | 2010 | 439 |
| 3 | 3D simulation of wind turbine rotors at full scale. Part II: Fluid–structure interaction modeling with composite blades Hit paper breakdown → | 2010 | 396 |
| 4 | An immersogeometric variational framework for fluid–structure interaction: Application to bioprosthetic heart valves Hit paper breakdown → | 2014 | 390 |
| 5 | 3D simulation of wind turbine rotors at full scale. Part I: Geometry modeling and aerodynamics Hit paper breakdown → | 2010 | 315 |
| 6 | A large deformation, rotation-free, isogeometric shell Hit paper breakdown → | 2010 | 306 |
| 7 | Isogeometric fluid–structure interaction analysis with emphasis on non-matching discretizations, and with application to wind turbines Hit paper breakdown → | 2012 | 286 |
| 8 | 2012 | 276 | |
| 9 | Isogeometric Kirchhoff–Love shell formulations for general hyperelastic materials Hit paper breakdown → | 2015 | 276 |
| 10 | 2014 | 255 | |
| 11 | 2011 | 246 | |
| 12 | 2005 | 230 | |
| 13 | 2009 | 223 | |
| 14 | 2015 | 222 | |
| 15 | 2009 | 221 | |
| 16 | 2010 | 218 | |
| 17 | 2010 | 207 | |
| 18 | 2009 | 200 | |
| 19 | 2013 | 185 | |
| 20 | 2011 | 176 |
About Ming‐Chen Hsu
Ming‐Chen Hsu is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Mechanical Engineering, having authored 149 papers that have together received 10.6k indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (47 papers), Advanced Numerical Methods in Computational Mathematics (40 papers), Cardiac Valve Diseases and Treatments (20 papers), Computer Graphics and Visualization Techniques (17 papers), Elasticity and Material Modeling (16 papers), Computational Fluid Dynamics and Aerodynamics (16 papers), Fluid Dynamics and Vibration Analysis (15 papers) and Lattice Boltzmann Simulation Studies (14 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.9k citations), Computational Mechanics (7.7k citations), Mechanics of Materials (2.3k citations), Statistical and Nonlinear Physics (684 citations) and Computational Theory and Mathematics (914 citations). Ming‐Chen Hsu has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Yuri Bazilevs, Thomas J.R. Hughes, David J. Benson, Josef Kiendl, David Kamensky, I. Akkerman, Tayfun E. Tezduyar, Kenji Takizawa, Fei Xu and Michael S. Sacks. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Computational Mechanics, Computers & Fluids, International Journal for Numerical Methods in Engineering and Mathematical Models and Methods in Applied Sciences.
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.