Yan Peng

2.2k total citations · 1 hit paper
34 papers, 1.9k citations indexed

About

Yan Peng is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Yan Peng has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 11 papers in Electrical and Electronic Engineering and 8 papers in Aerospace Engineering. Recurrent topics in Yan Peng's work include Lattice Boltzmann Simulation Studies (24 papers), Fluid Dynamics and Turbulent Flows (12 papers) and Aerosol Filtration and Electrostatic Precipitation (10 papers). Yan Peng is often cited by papers focused on Lattice Boltzmann Simulation Studies (24 papers), Fluid Dynamics and Turbulent Flows (12 papers) and Aerosol Filtration and Electrostatic Precipitation (10 papers). Yan Peng collaborates with scholars based in United States, Singapore and China. Yan Peng's co-authors include Y. T. Chew, C. Shu, Li‐Shi Luo, Xiaodong Niu, Wei Liao, Wei Zhang, Xingwang Chen, Xi‐Yun Lu, Pierre Lallemand and Jingjiang Qiu and has published in prestigious journals such as Journal of Computational Physics, Materials Today and Physics Letters A.

In The Last Decade

Yan Peng

32 papers receiving 1.8k citations

Hit Papers

Numerics of the lattice Boltzmann method: Effects of coll... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Peng United States 17 1.8k 901 320 284 107 34 1.9k
M’hamed Bouzidi France 10 1.5k 0.8× 707 0.8× 343 1.1× 238 0.8× 116 1.1× 14 1.6k
Mouaouia Firdaouss France 7 1.1k 0.6× 484 0.5× 191 0.6× 160 0.6× 90 0.8× 8 1.2k
Abbas Fakhari United States 19 1.5k 0.9× 539 0.6× 186 0.6× 71 0.3× 67 0.6× 25 1.6k
D. Hänel Germany 14 1.2k 0.7× 711 0.8× 77 0.2× 237 0.8× 42 0.4× 26 1.3k
O. Filippova United States 11 1.3k 0.7× 756 0.8× 92 0.3× 266 0.9× 36 0.3× 15 1.3k
Kannan N. Premnath United States 17 1.1k 0.6× 567 0.6× 140 0.4× 146 0.5× 108 1.0× 55 1.2k
Keivan Fallah Iran 22 951 0.5× 127 0.1× 312 1.0× 612 2.2× 201 1.9× 34 1.3k
Xiang Zhao China 13 324 0.2× 154 0.2× 470 1.5× 93 0.3× 167 1.6× 47 975
Richard D. Whalley United Kingdom 17 601 0.3× 367 0.4× 147 0.5× 683 2.4× 138 1.3× 30 1.2k
Adam Zdunek Sweden 12 317 0.2× 198 0.2× 264 0.8× 40 0.1× 200 1.9× 31 971

Countries citing papers authored by Yan Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yan Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Peng. A scholar is included among the top collaborators of Yan Peng 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 Yan Peng. Yan Peng 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
3.
Peng, Yan, et al.. (2024). Mucin phenotype and microvessels in early gastic cancer: Magnifying endoscopy with narrow band imaging. Heliyon. 10(12). e32293–e32293. 1 indexed citations
4.
Peng, Yan, et al.. (2022). Numerical simulations of capsule deformation in a combined shear flow and DC electric field. Journal of Computational Physics. 462. 111223–111223. 1 indexed citations
5.
Li, Xiaowei, Liang Fang, & Yan Peng. (2018). Airfoil design optimization based on lattice Boltzmann method and adjoint approach. Applied Mathematics and Mechanics. 39(6). 891–904. 7 indexed citations
6.
Liu, Nansheng, Yan Peng, & Xi‐Yun Lu. (2014). Length effects of a built-in flapping flat plate on the flow over a traveling wavy foil. Physical Review E. 89(6). 63019–63019. 7 indexed citations
7.
Song, Zhifang, Dewu Liu, Yan Peng, et al.. (2014). [Expression of microRNA-203 and P63 in human epidermal stem cells and keratinocytes].. PubMed. 30(4). 344–8. 1 indexed citations
8.
Liu, Nansheng, et al.. (2012). Flow over a traveling wavy foil with a passively flapping flat plate. Physical Review E. 85(5). 56316–56316. 16 indexed citations
9.
Luo, Li‐Shi, Wei Liao, Xingwang Chen, Yan Peng, & Wei Zhang. (2011). Numerics of the lattice Boltzmann method: Effects of collision models on the lattice Boltzmann simulations. Physical Review E. 83(5). 56710–56710. 325 indexed citations breakdown →
10.
Liao, Wei, Yan Peng, & Li‐Shi Luo. (2010). Effects of multitemperature nonequilibrium on compressible homogeneous turbulence. Physical Review E. 81(4). 46704–46704. 8 indexed citations
11.
Liao, Wei, Yan Peng, & Li‐Shi Luo. (2009). Gas-kinetic schemes for direct numerical simulations of compressible homogeneous turbulence. Physical Review E. 80(4). 46702–46702. 30 indexed citations
12.
Peng, Yan, Wei Liao, Li‐Shi Luo, & Lian‐Ping Wang. (2009). Comparison of the lattice Boltzmann and pseudo-spectral methods for decaying turbulence: Low-order statistics. Computers & Fluids. 39(4). 568–591. 49 indexed citations
13.
Liao, Wei, Yan Peng, & Li‐Shi Luo. (2008). A Comparative Study of the LBE and GKS Methods for DNS of Decaying Turbulence. 46th AIAA Aerospace Sciences Meeting and Exhibit. 3 indexed citations
14.
Peng, Yan, C. Shu, Y. T. Chew, Xiaodong Niu, & Xi‐Yun Lu. (2006). Application of multi-block approach in the immersed boundary–lattice Boltzmann method for viscous fluid flows. Journal of Computational Physics. 218(2). 460–478. 113 indexed citations
15.
Peng, Yan, C. Shu, Y. T. Chew, & Takaji Inamuro. (2004). Lattice kinetic scheme for the incompressible viscous thermal flows on arbitrary meshes. Physical Review E. 69(1). 16703–16703. 22 indexed citations
16.
Peng, Yan, C. Shu, Y. T. Chew, & Hong Zheng. (2004). NEW LATTICE KINETIC SCHEMES FOR INCOMPRESSIBLE VISCOUS FLOWS. International Journal of Modern Physics C. 15(9). 1197–1213. 4 indexed citations
17.
Peng, Yan, C. Shu, & Y. T. Chew. (2003). Simplified thermal lattice Boltzmann model for incompressible thermal flows. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(2). 26701–26701. 358 indexed citations
18.
Peng, Yan, C. Shu, & Y. T. Chew. (2003). A 3D incompressible thermal lattice Boltzmann model and its application to simulate natural convection in a cubic cavity. Journal of Computational Physics. 193(1). 260–274. 149 indexed citations
19.
Peng, Yan, Y. T. Chew, & C. Shu. (2003). Numerical simulation of natural convection in a concentric annulus between a square outer cylinder and a circular inner cylinder using the Taylor-series-expansion and least-squares-based lattice Boltzmann method. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(2). 26701–26701. 50 indexed citations
20.
Shu, C., Yan Peng, & Y. T. Chew. (2002). SIMULATION OF NATURAL CONVECTION IN A SQUARE CAVITY BY TAYLOR SERIES EXPANSION- AND LEAST SQUARES-BASED LATTICE BOLTZMANN METHOD. International Journal of Modern Physics C. 13(10). 1399–1414. 68 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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