Lawrence Cheung

489 total citations
42 papers, 344 citations indexed

About

Lawrence Cheung is a scholar working on Aerospace Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, Lawrence Cheung has authored 42 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Aerospace Engineering, 27 papers in Computational Mechanics and 17 papers in Environmental Engineering. Recurrent topics in Lawrence Cheung's work include Wind and Air Flow Studies (17 papers), Wind Energy Research and Development (17 papers) and Fluid Dynamics and Turbulent Flows (15 papers). Lawrence Cheung is often cited by papers focused on Wind and Air Flow Studies (17 papers), Wind Energy Research and Development (17 papers) and Fluid Dynamics and Turbulent Flows (15 papers). Lawrence Cheung collaborates with scholars based in United States, United Kingdom and Israel. Lawrence Cheung's co-authors include Sanjiva K. Lele, Tamer A. Zaki, Kenneth Brown, Daniel J. Bodony, Myra Blaylock, Kaustubha Raghukumar, Shreyas Ananthan, Amirkaveh Mojtahed, Ganesh Vijayakumar and William Wolf and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Journal of the American Academy of Dermatology.

In The Last Decade

Lawrence Cheung

39 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence Cheung United States 12 246 234 97 33 25 42 344
Mohammad Reza Soltani Iran 14 351 1.4× 357 1.5× 41 0.4× 9 0.3× 14 0.6× 54 536
Daniel R. Cole United States 6 237 1.0× 370 1.6× 104 1.1× 26 0.8× 28 1.1× 8 441
Franck Kerhervé France 10 254 1.0× 284 1.2× 137 1.4× 30 0.9× 20 0.8× 27 322
Yuzuru Eguchi Japan 11 169 0.7× 177 0.8× 44 0.5× 23 0.7× 29 1.2× 55 332
Philippe Parnaudeau France 7 206 0.8× 498 2.1× 246 2.5× 15 0.5× 27 1.1× 15 562
David M. Birch United Kingdom 10 213 0.9× 240 1.0× 57 0.6× 12 0.4× 9 0.4× 27 314
Christophe Airiau France 13 163 0.7× 321 1.4× 51 0.5× 36 1.1× 9 0.4× 30 382
Seonghyeon Hahn United States 10 240 1.0× 367 1.6× 89 0.9× 34 1.0× 9 0.4× 18 431
Olivier Léon France 12 231 0.9× 240 1.0× 46 0.5× 49 1.5× 12 0.5× 35 352
Matthieu Duponcheel Belgium 12 308 1.3× 414 1.8× 111 1.1× 28 0.8× 21 0.8× 52 519

Countries citing papers authored by Lawrence Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Cheung. A scholar is included among the top collaborators of Lawrence Cheung 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 Lawrence Cheung. Lawrence Cheung 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.
Kühn, Michael, Marc Henry de Frahan, Georgios Deskos, et al.. (2025). AMR‐Wind: A Performance‐Portable, High‐Fidelity Flow Solver for Wind Farm Simulations. Wind Energy. 28(5). 3 indexed citations
2.
Cheung, Lawrence, Myra Blaylock, Kenneth Brown, et al.. (2025). Model intercomparison of the ABL, turbines, and wakes within the AWAKEN wind farms under neutral stability conditions. Journal of Renewable and Sustainable Energy. 17(2). 2 indexed citations
3.
Brown, Kenneth, et al.. (2025). Comparison of wind-farm control strategies under realistic offshore wind conditions: wake quantities of interest. Wind energy science. 10(8). 1737–1762.
4.
Cheung, Lawrence, et al.. (2025). Modeling the effects of active wake mixing on wake behavior through large-scale coherent structures. Wind energy science. 10(7). 1403–1420.
5.
Cheung, Lawrence, et al.. (2024). A Green's Function Wind Turbine Induction Model That Incorporates Complex Inflow Conditions. Wind Energy. 27(12). 1526–1544. 1 indexed citations
6.
Cheung, Lawrence, et al.. (2024). Fluid-Dynamic Mechanisms Underlying Wind Turbine Wake Control with Strouhal-Timed Actuation. Energies. 17(4). 865–865. 9 indexed citations
7.
Cheung, Lawrence, et al.. (2024). Modification of wind turbine wakes by large-scale, convective atmospheric boundary layer structures. Journal of Renewable and Sustainable Energy. 16(6). 4 indexed citations
8.
Sharma, Ashesh, Michael Brazell, Ganesh Vijayakumar, et al.. (2024). ExaWind: Open‐source CFD for hybrid‐RANS/LES geometry‐resolved wind turbine simulations in atmospheric flows. Wind Energy. 27(3). 225–257. 22 indexed citations
9.
Moriarty, Patrick, Nicola Bodini, Lawrence Cheung, et al.. (2023). Overview of recent observations and simulations from the American WAKE experimeNt (AWAKEN) field campaign. Journal of Physics Conference Series. 2505(1). 12049–12049. 7 indexed citations
10.
Blaylock, Myra, et al.. (2022). Validation of Actuator Line and Actuator Disk Models with Filtered Lifting Line Corrections Implemented in Nalu-Wind Large Eddy Simulations of the Atmospheric Boundary Layer [Slides]. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
11.
Cheung, Lawrence & Tamer A. Zaki. (2022). An eigen-representation of the Navier–Stokes equations. Journal of Computational and Applied Mathematics. 423. 114921–114921. 1 indexed citations
12.
Cheng, Meng‐Dawn, et al.. (2021). UO2F2 particulate formation in an impinging jet gas reactor. Reaction Chemistry & Engineering. 6(8). 1428–1447. 4 indexed citations
13.
Brown, Kenneth, et al.. (2021). High-fidelity wind farm simulation methodology with experimental validation. Journal of Wind Engineering and Industrial Aerodynamics. 218. 104754–104754. 16 indexed citations
14.
Cheung, Lawrence, et al.. (2021). Computation and comparison of the stable Northeastern US marine boundary layer. AIAA Scitech 2021 Forum. 6 indexed citations
15.
Cheung, Lawrence, et al.. (2020). Large-eddy simulations of the Northeastern US coastal marine boundary layer. Journal of Physics Conference Series. 1618(6). 62038–62038. 5 indexed citations
16.
Quon, Eliot, Matthew Churchfield, Sang Lee, Lawrence Cheung, & Stefan Kern. (2017). Development of a Wind Plant Large-Eddy Simulation with Measurement-Driven Atmospheric Inflow. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
17.
Keaney, Terrence, et al.. (2012). Open-label, pilot study examining sequential therapy with oral tacrolimus and topical tacrolimus for severe atopic dermatitis. Journal of the American Academy of Dermatology. 67(4). 636–641. 14 indexed citations
18.
Cheung, Lawrence, et al.. (2010). Relapse of Intestinal and Hepatic Amebiasis After Treatment. Digestive Diseases and Sciences. 56(3). 677–680. 13 indexed citations
19.
Cheung, Lawrence & Sanjiva K. Lele. (2005). Spatio-temporal multi-scale PSE for shear layer dynamics and acoustic radiation. 1 indexed citations
20.
Cheung, Lawrence & Sanjiva K. Lele. (2004). Acoustic Radiation From Subsonic and Supersonic Mixing Layers With Nonlinear PSE. 42nd AIAA Aerospace Sciences Meeting and Exhibit. 12 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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