Matthew Fu

929 total citations
27 papers, 639 citations indexed

About

Matthew Fu is a scholar working on Computational Mechanics, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Matthew Fu has authored 27 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 7 papers in Aerospace Engineering and 6 papers in Ocean Engineering. Recurrent topics in Matthew Fu's work include Fluid Dynamics and Turbulent Flows (14 papers), Particle Dynamics in Fluid Flows (6 papers) and Wind and Air Flow Studies (5 papers). Matthew Fu is often cited by papers focused on Fluid Dynamics and Turbulent Flows (14 papers), Particle Dynamics in Fluid Flows (6 papers) and Wind and Air Flow Studies (5 papers). Matthew Fu collaborates with scholars based in United States, Australia and United Kingdom. Matthew Fu's co-authors include Marcus Hultmark, Alexander J. Smits, Ivan Marušič, Brian Rosenberg, Tyler Van Buren, Stefano Leonardi, Amirreza Rouhi, Yitong Fan, Brian C. Holloway and David Wine and has published in prestigious journals such as Advanced Materials, Nature Communications and Journal of Fluid Mechanics.

In The Last Decade

Matthew Fu

26 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Fu United States 12 446 221 130 107 105 27 639
Hussain Al‐Qahtani Saudi Arabia 15 237 0.5× 221 1.0× 126 1.0× 60 0.6× 197 1.9× 94 812
Taegee Min South Korea 11 846 1.9× 129 0.6× 294 2.3× 139 1.3× 49 0.5× 15 1.0k
Sean Symon United Kingdom 8 507 1.1× 356 1.6× 44 0.3× 97 0.9× 78 0.7× 15 606
Zijing Ding China 15 538 1.2× 92 0.4× 88 0.7× 38 0.4× 22 0.2× 60 632
Michael J. Walsh United States 7 480 1.1× 74 0.3× 218 1.7× 249 2.3× 73 0.7× 13 616
Jan Breitenbach Germany 11 601 1.3× 318 1.4× 80 0.6× 69 0.6× 16 0.2× 19 759
Martin Wörner Germany 21 965 2.2× 212 1.0× 271 2.1× 115 1.1× 44 0.4× 72 1.4k
Dongjun Ma China 15 413 0.9× 37 0.2× 103 0.8× 73 0.7× 53 0.5× 54 605
Charles Henoch United States 10 748 1.7× 64 0.3× 115 0.9× 694 6.5× 109 1.0× 18 981
Sebastian Burgmann Germany 13 489 1.1× 80 0.4× 60 0.5× 286 2.7× 18 0.2× 34 699

Countries citing papers authored by Matthew Fu

Since Specialization
Citations

This map shows the geographic impact of Matthew Fu'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 Matthew Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Fu more than expected).

Fields of papers citing papers by Matthew Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Fu. 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 Matthew Fu. The network helps show where Matthew Fu may publish in the future.

Co-authorship network of co-authors of Matthew Fu

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

All Works

20 of 20 papers shown
1.
Dell, Steven J., et al.. (2024). Resonance sonomanometry for noninvasive, continuous monitoring of blood pressure. PNAS Nexus. 3(7). pgae252–pgae252. 4 indexed citations
2.
Fu, Matthew, et al.. (2024). Measurements and modelling of induced flow in collective vertical migration. Journal of Fluid Mechanics. 1001. 1 indexed citations
3.
Fu, Matthew, et al.. (2023). Logarithmic scaling of higher-order temperature moments in the atmospheric surface layer. International Journal of Heat and Fluid Flow. 102. 109162–109162. 1 indexed citations
4.
Rouhi, Amirreza, et al.. (2023). Turbulent drag reduction by spanwise wall forcing. Part 1. Large-eddy simulations. Journal of Fluid Mechanics. 968. 12 indexed citations
5.
Rouhi, Amirreza, Matthew Fu, David Wine, et al.. (2023). Turbulent drag reduction by spanwise wall forcing. Part 2. High-Reynolds-number experiments. Journal of Fluid Mechanics. 968. 16 indexed citations
6.
Fu, Matthew & John O. Dabiri. (2023). Magnetic Signature of Vertically Migrating Aggregations in the Ocean. Geophysical Research Letters. 50(5). 1 indexed citations
7.
Dabiri, John O., et al.. (2023). Visual anemometry for physics-informed inference of wind. Nature Reviews Physics. 5(10). 597–611. 1 indexed citations
8.
Yang, Jin, Alexander K. Landauer, Jing Zhang, et al.. (2022). SerialTrack: ScalE and rotation invariant augmented Lagrangian particle tracking. SoftwareX. 19. 101204–101204. 5 indexed citations
9.
Marušič, Ivan, Amirreza Rouhi, Matthew Fu, et al.. (2021). An energy-efficient pathway to turbulent drag reduction. Nature Communications. 12(1). 5805–5805. 93 indexed citations
10.
Fu, Matthew, et al.. (2021). Investigation of the atmospheric surface layer using a novel high-resolution sensor array. Experiments in Fluids. 62(4). 12 indexed citations
11.
Fu, Matthew, et al.. (2020). A Soft Material Flow Sensor for Micro Air Vehicles. Soft Robotics. 8(2). 119–127. 9 indexed citations
12.
Fu, Matthew, et al.. (2020). Investigation of Incidents and Trends of Antimicrobial Resistance in Foodborne Pathogens in Eight Countries from Historical Sample Data. International Journal of Environmental Research and Public Health. 17(2). 472–472. 22 indexed citations
13.
Reuter, Christopher B., Omar R. Yehia, Sang Hee Won, et al.. (2019). Turbulent nonpremixed cool flames: Experimental measurements, Direct Numerical Simulation, and manifold-based combustion modeling. Combustion and Flame. 209. 144–154. 11 indexed citations
14.
Scharnowski, Sven, et al.. (2019). Development of a nanoscale hot-wire probe for supersonic flow applications. Experiments in Fluids. 60(10). 9 indexed citations
15.
Fu, Matthew, et al.. (2019). Comparison between super-hydrophobic, liquid infused and rough surfaces: a direct numerical simulation study. Journal of Fluid Mechanics. 869. 500–525. 45 indexed citations
16.
Marušič, Ivan, Nicholas Hutchins, Matthew Fu, et al.. (2018). Fully resolved measurements of turbulent boundary layer flows up to. Journal of Fluid Mechanics. 851. 391–415. 93 indexed citations
17.
Ling, Hangjian, Matthew Fu, Marcus Hultmark, & Joseph Katz. (2017). Gas diffusion in and out of super-hydrophobic surface in transitional and turbulent boundary layers.. Bulletin of the American Physical Society. 1 indexed citations
18.
Fu, Matthew, et al.. (2017). Liquid-infused surfaces as a passive method of turbulent drag reduction. Journal of Fluid Mechanics. 824. 688–700. 78 indexed citations
19.
Fu, Matthew, et al.. (2016). Elastic filament velocimetry (EFV). Measurement Science and Technology. 28(2). 25301–25301. 6 indexed citations
20.
Rosenberg, Brian, Tyler Van Buren, Matthew Fu, & Alexander J. Smits. (2016). Turbulent drag reduction over air- and liquid- impregnated surfaces. Physics of Fluids. 28(1). 117 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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