Ao‐Ping Peng

414 total citations
21 papers, 330 citations indexed

About

Ao‐Ping Peng is a scholar working on Applied Mathematics, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Ao‐Ping Peng has authored 21 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Applied Mathematics, 17 papers in Computational Mechanics and 7 papers in Aerospace Engineering. Recurrent topics in Ao‐Ping Peng's work include Gas Dynamics and Kinetic Theory (20 papers), Computational Fluid Dynamics and Aerodynamics (16 papers) and Plasma and Flow Control in Aerodynamics (6 papers). Ao‐Ping Peng is often cited by papers focused on Gas Dynamics and Kinetic Theory (20 papers), Computational Fluid Dynamics and Aerodynamics (16 papers) and Plasma and Flow Control in Aerodynamics (6 papers). Ao‐Ping Peng collaborates with scholars based in China, Taiwan and Russia. Ao‐Ping Peng's co-authors include Zhihui Li, Jaw‐Yen Yang, Hanxin Zhang, Xinyu Jiang, Zhihui Li, Yilei Shi, Ming Fang, Lang-quan Li, Wei Huang and Xiaowei Tang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and International Journal of Heat and Mass Transfer.

In The Last Decade

Ao‐Ping Peng

20 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ao‐Ping Peng China 9 257 230 133 29 14 21 330
S. A. Zabelok Russia 10 282 1.1× 316 1.4× 116 0.9× 50 1.7× 14 1.0× 25 379
L. Walpot Netherlands 9 261 1.0× 262 1.1× 171 1.3× 44 1.5× 35 2.5× 41 361
Christopher Alba United States 12 265 1.0× 301 1.3× 148 1.1× 47 1.6× 18 1.3× 18 403
Tim P. Wadhams United States 8 334 1.3× 302 1.3× 163 1.2× 21 0.7× 6 0.4× 20 372
F. G. Tcheremissine Russia 12 278 1.1× 342 1.5× 100 0.8× 52 1.8× 11 0.8× 35 394
Gerald J. LeBeau United States 9 247 1.0× 350 1.5× 227 1.7× 33 1.1× 46 3.3× 18 404
Erin Farbar United States 10 165 0.6× 242 1.1× 193 1.5× 32 1.1× 15 1.1× 15 327
Neal Parsons United States 7 104 0.4× 150 0.7× 63 0.5× 8 0.3× 11 0.8× 18 188
Virendra K. Dogra United States 12 243 0.9× 314 1.4× 210 1.6× 36 1.2× 51 3.6× 36 357
Kerry Trumble United States 12 255 1.0× 362 1.6× 251 1.9× 16 0.6× 63 4.5× 19 405

Countries citing papers authored by Ao‐Ping Peng

Since Specialization
Citations

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

Fields of papers citing papers by Ao‐Ping Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ao‐Ping Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Ao‐Ping Peng. A scholar is included among the top collaborators of Ao‐Ping 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 Ao‐Ping Peng. Ao‐Ping 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
1.
Li, Zhihui, et al.. (2024). Gas-kinetic unified algorithm for aerodynamics covering various flow regimes by computable modeling of Boltzmann equation. Computers & Fluids. 287. 106472–106472. 2 indexed citations
3.
Li, Zhihui, et al.. (2022). Prediction of Orbit Decay for Large-Scale Spacecraft considering Rarefied Aerodynamic Perturbation Effects. International Journal of Aerospace Engineering. 2022. 1–13. 1 indexed citations
4.
6.
Li, Zhihui, et al.. (2020). On derivation and verification of a kinetic model for quantum vibrational energy of polyatomic gases in the gas-kinetic unified algorithm. Journal of Computational Physics. 435. 109938–109938. 17 indexed citations
7.
Li, Zhihui, et al.. (2020). Gas‐kinetic unified algorithm for plane external force‐driven flows covering all flow regimes by modeling of Boltzmann equation. International Journal for Numerical Methods in Fluids. 92(8). 922–949. 8 indexed citations
9.
Аристов, В. В., et al.. (2019). Regularization and modeling of the Boltzmann collisional operator: Tcheremissine and Shakhov approaches. AIP conference proceedings. 2132. 60008–60008. 1 indexed citations
11.
Li, Lang-quan, Wei Huang, Ming Fang, et al.. (2018). Investigation on three mixing enhancement strategies in transverse gaseous injection flow fields: A numerical study. International Journal of Heat and Mass Transfer. 132. 484–497. 57 indexed citations
12.
Peng, Ao‐Ping, et al.. (2017). Validation and analysis of gas-kinetic unified algorithm for solving Boltzmann model equation with vibrational energy excitation. Acta Physica Sinica. 66(20). 204703–204703. 8 indexed citations
13.
Peng, Ao‐Ping, Zhihui Li, Junlin Wu, & Xinyu Jiang. (2016). AN APPLICATION OF IMPLICIT GAS-KINETIC UNIFIED ALGORITHM BASED ON MULTIBLOCK PATCHED GRID. Chinese Journal of Theoretical and Applied Mechanics. 48(1). 95–101. 2 indexed citations
14.
Li, Zhihui, et al.. (2016). Numerical study on rarefied unsteady jet flow expanding into vacuum using the Gas-Kinetic Unified Algorithm. Computers & Fluids. 155. 50–61. 13 indexed citations
15.
Peng, Ao‐Ping, et al.. (2016). Implicit gas-kinetic unified algorithm based on multi-block docking grid for multi-body reentry flows covering all flow regimes. Journal of Computational Physics. 327. 919–942. 52 indexed citations
16.
Peng, Ao‐Ping, et al.. (2015). Gas-kinetic unified algorithm for hypersonic aerothermodynamics covering various flow regimes solving Boltzmann model equation. Acta Physica Sinica. 64(22). 224703–224703. 3 indexed citations
17.
Li, Zhihui, et al.. (2015). Numerical Simulations of Unsteady Flows From Rarefied Transition to Continuum Using Gas-Kinetic Unified Algorithm. Advances in Applied Mathematics and Mechanics. 7(5). 569–596. 6 indexed citations
18.
Li, Zhihui, Ao‐Ping Peng, Hanxin Zhang, & Jaw‐Yen Yang. (2015). Rarefied gas flow simulations using high-order gas-kinetic unified algorithms for Boltzmann model equations. Progress in Aerospace Sciences. 74. 81–113. 72 indexed citations
19.
Li, Zhihui, et al.. (2014). Coupled Navier–Stokes/Direct Simulation Monte Carlo Simulation of Multicomponent Mixture Plume Flows. Journal of Propulsion and Power. 30(3). 672–689. 13 indexed citations
20.
Li, Zhihui, et al.. (2011). Numerical study on the gas-kinetic high-order schemes for solving Boltzmann model equation. Science China Physics Mechanics and Astronomy. 54(9). 1687–1701. 9 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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