Yu Lv

1.2k total citations
50 papers, 932 citations indexed

About

Yu Lv is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Yu Lv has authored 50 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Mechanics, 14 papers in Aerospace Engineering and 12 papers in Applied Mathematics. Recurrent topics in Yu Lv's work include Fluid Dynamics and Turbulent Flows (25 papers), Computational Fluid Dynamics and Aerodynamics (22 papers) and Combustion and flame dynamics (16 papers). Yu Lv is often cited by papers focused on Fluid Dynamics and Turbulent Flows (25 papers), Computational Fluid Dynamics and Aerodynamics (22 papers) and Combustion and flame dynamics (16 papers). Yu Lv collaborates with scholars based in United States, China and United Kingdom. Yu Lv's co-authors include Matthias Ihme, Peter Ma, Zhihua Wang, Kefa Cen, Xiang I. A. Yang, Junhu Zhou, Yong He, Eric J. Ching, Yee Chee See and Peter A. Gnoffo and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and International Journal of Hydrogen Energy.

In The Last Decade

Yu Lv

48 papers receiving 910 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Lv United States	17	724	225	163	160	146	50	932
M. Napolitano Italy	19	1.1k 1.5×	313 1.4×	93 0.6×	113 0.7×	87 0.6×	89	1.2k
J.S. Truelove Australia	17	612 0.8×	132 0.6×	53 0.3×	65 0.4×	285 2.0×	35	966
Jean-Pierre Hickey Canada	16	649 0.9×	300 1.3×	100 0.6×	44 0.3×	122 0.8×	77	791
Tomasz G. Drozda United States	10	657 0.9×	147 0.7×	280 1.7×	53 0.3×	65 0.4×	30	838
James C. Hermanson United States	17	805 1.1×	511 2.3×	101 0.6×	50 0.3×	85 0.6×	84	977
Nora Okong’o United States	17	907 1.3×	190 0.8×	211 1.3×	56 0.3×	174 1.2×	35	967
Guido Lodato France	14	620 0.9×	228 1.0×	111 0.7×	67 0.4×	31 0.2×	34	689
Foluso Ladeinde United States	17	617 0.9×	378 1.7×	99 0.6×	64 0.4×	45 0.3×	107	778
G Hauke Spain	23	1.2k 1.6×	57 0.3×	28 0.2×	61 0.4×	147 1.0×	47	1.5k
A. K. C. Lau United Kingdom	10	997 1.4×	258 1.1×	469 2.9×	76 0.5×	121 0.8×	15	1.2k

Countries citing papers authored by Yu Lv

Since Specialization

Citations

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

Fields of papers citing papers by Yu Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Lv

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lv, Yu, et al.. (2025). A novel large-eddy simulation framework with consistently enforced wall models by a near-wall dynamic correction procedure. Physics of Fluids. 37(3).

Lv, Yu, et al.. (2025). Accelerating fluid simulations with graph convolution network predicted flow fields. Aerospace Science and Technology. 164. 110414–110414. 3 indexed citations

Qiao, Zheng & Yu Lv. (2024). Flame transfer functions of asymmetric conical and V-shaped flames. Aerospace Science and Technology. 153. 109439–109439.

Park, George Ilhwan, et al.. (2024). Large Eddy Simulation of Separated Flows on Unconventionally Coarse Grids. Journal of Fluids Engineering. 146(9). 3 indexed citations

Park, George Ilhwan, et al.. (2023). Large-Eddy Simulation of Separated Flows on Unconventionally Coarse Grids. 1 indexed citations

Ching, Eric J., et al.. (2022). Computation of hypersonic viscous flows with the thermally perfect gas model using a discontinuous Galerkin method. International Journal for Numerical Methods in Fluids. 94(7). 941–975. 4 indexed citations

Li, Shilong, Xiaolei Yang, & Yu Lv. (2022). Predictive capability of the logarithmic law for roughness-modeled large-eddy simulation of turbulent channel flows with rough walls. Physics of Fluids. 34(8). 6 indexed citations

Zhang, Huiying, Yu Chen, & Yu Lv. (2022). Development and validation of a combustion large-eddy-simulation solver based on fully compressible formulation and tabulated chemistry. Aerospace Science and Technology. 127. 107693–107693. 6 indexed citations

Lv, Yu, et al.. (2021). Wall-model integrated computational framework for large-eddy simulations of wall-bounded flows. Physics of Fluids. 33(12). 10 indexed citations

10.

Liu, Qing, Zheng Qiao, & Yu Lv. (2021). PyVT: A python-based open-source software for visualization and graphic analysis of fluid dynamics datasets. Aerospace Science and Technology. 117. 106961–106961. 11 indexed citations

11.

Lv, Yu. (2019). Development of a nonconservative discontinuous Galerkin formulation for simulations of unsteady and turbulent flows. International Journal for Numerical Methods in Fluids. 92(5). 325–346. 8 indexed citations

12.

Ching, Eric J., Yu Lv, Peter A. Gnoffo, Michael Barnhardt, & Matthias Ihme. (2018). Shock capturing for discontinuous Galerkin methods with application to predicting heat transfer in hypersonic flows. Journal of Computational Physics. 376. 54–75. 62 indexed citations

13.

Han, Xinlu, Zhihua Wang, Shixing Wang, et al.. (2018). Parametrization of the temperature dependence of laminar burning velocity for methane and ethane flames. Fuel. 239. 1028–1037. 76 indexed citations

14.

Yang, Xiang I. A. & Yu Lv. (2018). A semi-locally scaled eddy viscosity formulation for LES wall models and flows at high speeds. Theoretical and Computational Fluid Dynamics. 32(5). 617–627. 38 indexed citations

15.

Yang, Xiang I. A., R. Baidya, Yu Lv, & Ivan Marušič. (2018). Hierarchical random additive model for the spanwise and wall-normal velocities in wall-bounded flows at high Reynolds numbers. Physical Review Fluids. 3(12). 15 indexed citations

16.

Lv, Yu & Matthias Ihme. (2017). High-order discontinuous Galerkin method for applications to multicomponent and chemically reacting flows. Acta Mechanica Sinica. 33(3). 486–499. 17 indexed citations

17.

Wu, Hao, Peter Ma, Yu Lv, & Matthias Ihme. (2017). MVP-Workshop Contribution: Modeling of Volvo bluff body flame experiment. 55th AIAA Aerospace Sciences Meeting. 17 indexed citations

18.

Ma, Peter, Yu Lv, & Matthias Ihme. (2017). An entropy-stable hybrid scheme for simulations of transcritical real-fluid flows. Journal of Computational Physics. 340. 330–357. 130 indexed citations

19.

Lv, Yu & Matthias Ihme. (2014). Discontinuous Galerkin method for multicomponent chemically reacting flows and combustion. Journal of Computational Physics. 270. 105–137. 74 indexed citations

20.

Lv, Yu, Zhihua Wang, Junhu Zhou, & Kefa Cen. (2010). Full-Scale Numerical Investigation of a Selective Noncatalytic Reduction (SNCR) System in a 100 MW Utility Boiler with Complex Chemistry and Decoupling Approach. Energy & Fuels. 24(10). 5432–5440. 14 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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