Jonathan H. Tu

1.6k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Jonathan H. Tu is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Computer Networks and Communications. According to data from OpenAlex, Jonathan H. Tu has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 6 papers in Computational Mechanics and 2 papers in Computer Networks and Communications. Recurrent topics in Jonathan H. Tu's work include Model Reduction and Neural Networks (6 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Fluid Dynamics and Vibration Analysis (4 papers). Jonathan H. Tu is often cited by papers focused on Model Reduction and Neural Networks (6 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Fluid Dynamics and Vibration Analysis (4 papers). Jonathan H. Tu collaborates with scholars based in United States. Jonathan H. Tu's co-authors include Clarence W. Rowley, Kai Chen, J. Nathan Kutz, Steven L. Brunton, M. Pino Martı́n, Stephan Priebe, Joshua L. Proctor, Jessica K. Shang, Ido Bright and John H. Griffin and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Experiments in Fluids.

In The Last Decade

Jonathan H. Tu

13 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses

2012 506 citations Kai Chen, Jonathan H. Tu et al. Journal of Nonlinear Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan H. Tu United States	9	718	545	349	154	105	14	1.1k
Maziar S. Hemati United States	11	606 0.8×	461 0.8×	343 1.0×	101 0.7×	109 1.0×	52	874
Xiaowei Jin China	8	675 0.9×	757 1.4×	347 1.0×	68 0.4×	65 0.6×	21	1.2k
Jean-Christophe Loiseau France	15	473 0.7×	403 0.7×	170 0.5×	123 0.8×	132 1.3×	26	903
Eurika Kaiser United States	10	355 0.5×	529 1.0×	177 0.5×	128 0.8×	170 1.6×	25	912
Soledad Le Clainche Spain	24	1.2k 1.7×	885 1.6×	544 1.6×	162 1.1×	155 1.5×	96	1.8k
Marek Morzyński Poland	11	989 1.4×	821 1.5×	258 0.7×	173 1.1×	113 1.1×	27	1.2k
Stefan Siegel United States	20	998 1.4×	500 0.9×	491 1.4×	90 0.6×	99 0.9×	93	1.3k
Laurent Cordier France	19	1.1k 1.5×	717 1.3×	492 1.4×	185 1.2×	90 0.9×	62	1.3k
Han Gao United States	6	479 0.7×	884 1.6×	221 0.6×	143 0.9×	54 0.5×	6	1.3k
Esteban Ferrer Spain	25	1.2k 1.7×	362 0.7×	431 1.2×	48 0.3×	54 0.5×	104	1.5k

Countries citing papers authored by Jonathan H. Tu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan H. Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan H. Tu. A scholar is included among the top collaborators of Jonathan H. Tu 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 Jonathan H. Tu. Jonathan H. Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Tu, Jonathan H., et al.. (2024). Transformer Masked Autoencoders for RF Device Fingerprinting. 859–862. 1 indexed citations

2.

Konz, Nicholas, et al.. (2023). Understanding the Inner-workings of Language Models Through Representation Dissimilarity. 6543–6558. 1 indexed citations

3.

Priebe, Stephan, Jonathan H. Tu, Clarence W. Rowley, & M. Pino Martı́n. (2016). Low-frequency dynamics in a shock-induced separated flow. Journal of Fluid Mechanics. 807. 441–477. 139 indexed citations

4.

Tu, Jonathan H., Murat Arcak, & Michel M. Maharbiz. (2015). Decoupling translational and rotational effects on the phase synchronization of rotating helices. Physical Review E. 91(2). 23018–23018. 1 indexed citations

5.

Brunton, Steven L., Joshua L. Proctor, Jonathan H. Tu, & J. Nathan Kutz. (2015). Compressed sensing and dynamic mode decomposition. 2(2). 165–191. 96 indexed citations

6.

Tu, Jonathan H., et al.. (2014). Algorithm 945. ACM Transactions on Mathematical Software. 40(4). 1–23. 41 indexed citations

7.

Brunton, Steven L., Jonathan H. Tu, Ido Bright, & J. Nathan Kutz. (2014). Compressive Sensing and Low-Rank Libraries for Classification of Bifurcation Regimes in Nonlinear Dynamical Systems. SIAM Journal on Applied Dynamical Systems. 13(4). 1716–1732. 73 indexed citations

8.

Tu, Jonathan H., Clarence W. Rowley, J. Nathan Kutz, & Jessica K. Shang. (2014). Spectral analysis of fluid flows using sub-Nyquist-rate PIV data. Experiments in Fluids. 55(9). 70 indexed citations

9.

Tu, Jonathan H., et al.. (2013). Novel sampling strategies for dynamic mode decomposition. Bulletin of the American Physical Society. 2 indexed citations

10.

Tu, Jonathan H., et al.. (2013). Integration of non-time-resolved PIV and time-resolved velocity point sensors for dynamic estimation of velocity fields. Experiments in Fluids. 54(2). 65 indexed citations

11.

Chen, Kai, Jonathan H. Tu, & Clarence W. Rowley. (2012). Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses. Journal of Nonlinear Science. 22(6). 887–915. 506 indexed citations breakdown →

12.

Tu, Jonathan H., et al.. (2012). Integration of non-time-resolved PIV and time-resolved velocity point sensors for dynamic estimation of time-resolved velocity fields. 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 3 indexed citations

13.

Tu, Jonathan H. & Clarence W. Rowley. (2012). An improved algorithm for balanced POD through an analytic treatment of impulse response tails. Journal of Computational Physics. 231(16). 5317–5333. 33 indexed citations

14.

Tu, Jonathan H., et al.. (2011). Koopman spectral analysis of separated flow over a finite-thickness flat plate with elliptical leading edge. 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 20 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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