Jonathan H. Tu
Impact in
-
- Model Reduction and Neural Networks
- Computational Mechanics top 1%
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Vibration Analysis
- Computational Fluid Dynamics and Aerodynamics
Papers in
-
- Model Reduction and Neural Networks 6
-
- Fluid Dynamics and Turbulent Flows 5
- Fluid Dynamics and Vibration Analysis 4
- Computational Fluid Dynamics and Aerodynamics 2
- Co-authors
- Clarence W. Rowley (9 shared papers)Kai Chen (1 shared paper)J. Nathan Kutz (3 shared papers)Steven L. Brunton (3 shared papers)Stephan Priebe (1 shared paper)M. Pino Martı́n (1 shared paper)Joshua L. Proctor (1 shared paper)Ido Bright (1 shared paper)
- Journals
- Experiments in Fluids (2 papers)Journal of Computational Physics (1 paper)ACM Transactions on Mathematical Software (1 paper)Journal of Fluid Mechanics (1 paper)Journal of Nonlinear Science (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan H. Tu
13 papers receiving 1.0k citations
Jonathan H. Tu's Hit Papers
Peers
Comparison fields: 5 of 66
- Statistical and Nonlinear Physics 545
- Computational Mechanics 725
- Statistics, Probability and Uncertainty 155
- Aerospace Engineering 351
- Environmental Engineering 85
Countries citing papers authored by Jonathan H. Tu
This map shows the geographic impact of Jonathan H. Tu'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 Jonathan H. Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan H. Tu more than expected).
Fields of papers citing papers by Jonathan H. Tu
This network shows the impact of papers produced by Jonathan H. Tu. 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 Jonathan H. Tu. The network helps show where Jonathan H. Tu may publish in the future.
Co-authors
The 19 scholars most cited alongside Jonathan H. Tu, 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 | Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses Hit paper breakdown → | 2012 | 510 |
| 2 | 2016 | 142 | |
| 3 | 2015 | 101 | |
| 4 | 2014 | 73 | |
| 5 | 2014 | 71 | |
| 6 | 2013 | 66 | |
| 7 | 2014 | 42 | |
| 8 | 2012 | 33 | |
| 9 | 2011 | 21 | |
| 10 | 2012 | 3 | |
| 11 | Novel sampling strategies for dynamic mode decomposition | 2013 | 2 |
| 12 | 2024 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2015 | 1 |
About Jonathan H. Tu
Jonathan H. Tu is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Computer Networks and Communications, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (6 papers), Fluid Dynamics and Turbulent Flows (5 papers), Fluid Dynamics and Vibration Analysis (4 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Structural Health Monitoring Techniques (2 papers), Image and Signal Denoising Methods (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Computational Fluid Dynamics and Aerodynamics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (545 citations), Computational Mechanics (725 citations), Statistics, Probability and Uncertainty (155 citations), Aerospace Engineering (351 citations) and Environmental Engineering (85 citations). Jonathan H. Tu has collaborated with scholars based in United States. Frequent co-authors include Clarence W. Rowley, Kai Chen, J. Nathan Kutz, Steven L. Brunton, Stephan Priebe, M. Pino Martı́n, Joshua L. Proctor, Ido Bright, Jessica K. Shang and Lawrence Ukeiley. Their work appears in journals such as Experiments in Fluids, Journal of Computational Physics, ACM Transactions on Mathematical Software, Journal of Fluid Mechanics 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.