Keh–Ming Shyue
- Computational Mechanics top 0.5%
- Applied Mathematics top 1%
- Aerospace Engineering top 5%
- Materials Chemistry
- Nuclear and High Energy Physics top 10%
- Co-authors
- Marica PelantiFeng XiaoRandall J. LeVequeYanni ZengJohn W. GroveJames GlimmXiao Lin LiQiang Zhang
- Topics
- Computational Fluid Dynamics and Aerodynamics (24 papers)Gas Dynamics and Kinetic Theory (11 papers)Fluid Dynamics and Heat Transfer (7 papers)
- Journals
- The Astrophysical JournalJournal of Computational PhysicsInternational Journal of Multiphase Flow
- Partner nations
- TaiwanFranceUnited States
In The Last Decade
Keh–Ming Shyue
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 58
- Computational Mechanics 1.3k
- Applied Mathematics 525
- Aerospace Engineering 337
- Materials Chemistry 131
- Nuclear and High Energy Physics 119
Countries citing papers authored by Keh–Ming Shyue
This map shows the geographic impact of Keh–Ming Shyue'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 Keh–Ming Shyue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keh–Ming Shyue more than expected).
Fields of papers citing papers by Keh–Ming Shyue
This network shows the impact of papers produced by Keh–Ming Shyue. 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 Keh–Ming Shyue. The network helps show where Keh–Ming Shyue may publish in the future.
Co-authorship network of co-authors of Keh–Ming Shyue
This figure shows the co-authorship network connecting the top 25 collaborators of Keh–Ming Shyue. A scholar is included among the top collaborators of Keh–Ming Shyue 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 Keh–Ming Shyue. Keh–Ming Shyue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 16 | |
| 5 | 57 | |
| 6 | Generalized Riemann problem for dispersive equations | 2 |
| 7 | 121 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 19 | |
| 12 | 70 | |
| 13 | 2 | |
| 14 | 141 | |
| 15 | 16 | |
| 16 | 110 | |
| 17 | 288 | |
| 18 | 273 | |
| 19 | 60 | |
| 20 | Front Tracking Methods Based on Wave Propagation. | 2 |
About Keh–Ming Shyue
Keh–Ming Shyue is a scholar working on Applied Mathematics, Computational Mechanics and Mathematical Physics, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (24 papers), Gas Dynamics and Kinetic Theory (11 papers) and Fluid Dynamics and Heat Transfer (7 papers). The work is most often cited by research in Computational Mechanics (1.3k citations), Applied Mathematics (525 citations) and Aerospace Engineering (337 citations). Keh–Ming Shyue has collaborated with scholars based in Taiwan, France and United States. Frequent co-authors include Marica Pelanti, Feng Xiao, Randall J. LeVeque, Yanni Zeng, John W. Grove, James Glimm, Xiao Lin Li, Qiang Zhang, Xi Deng and Satoshi Inaba. Their work appears in journals such as The Astrophysical Journal, Journal of Computational Physics and International Journal of Multiphase Flow.
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.