Liang Pan

1.1k total citations
52 papers, 798 citations indexed

About

Liang Pan is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering. According to data from OpenAlex, Liang Pan has authored 52 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Mechanics, 31 papers in Applied Mathematics and 8 papers in Aerospace Engineering. Recurrent topics in Liang Pan's work include Computational Fluid Dynamics and Aerodynamics (32 papers), Gas Dynamics and Kinetic Theory (31 papers) and Fluid Dynamics and Turbulent Flows (23 papers). Liang Pan is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (32 papers), Gas Dynamics and Kinetic Theory (31 papers) and Fluid Dynamics and Turbulent Flows (23 papers). Liang Pan collaborates with scholars based in China, Hong Kong and United States. Liang Pan's co-authors include Kun Xu, Jiequan Li, Qibing Li, Jianming Xu, Wei Gao, Min Chen, Xing Ji, Yaqiang Wang, Xiangao Xia and Wei Gao and has published in prestigious journals such as Journal of Computational Physics, Environmental Pollution and International Journal of Heat and Mass Transfer.

In The Last Decade

Liang Pan

47 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Pan China 17 448 331 191 158 129 52 798
William J. Coirier United States 14 511 1.1× 111 0.3× 146 0.8× 45 0.3× 67 0.5× 28 860
Yudaya Sivathanu United States 19 935 2.1× 45 0.1× 187 1.0× 178 1.1× 37 0.3× 62 1.2k
Takaaki KONO Japan 8 345 0.8× 54 0.2× 62 0.3× 31 0.2× 33 0.3× 19 558
Peter Gerlinger Germany 22 1.5k 3.4× 303 0.9× 137 0.7× 38 0.2× 11 0.1× 102 1.6k
D. I. A. Poll United Kingdom 14 767 1.7× 144 0.4× 47 0.2× 127 0.8× 9 0.1× 49 931
George Ilhwan Park United States 13 1.0k 2.3× 28 0.1× 99 0.5× 60 0.4× 28 0.2× 37 1.2k
S. N. Tiwari United States 11 257 0.6× 109 0.3× 38 0.2× 87 0.6× 7 0.1× 72 466
François Morency Canada 15 222 0.5× 20 0.1× 298 1.6× 83 0.5× 11 0.1× 88 936
Jorge Sousa United States 14 365 0.8× 29 0.1× 45 0.2× 31 0.2× 19 0.1× 20 738
Pietro Catalano Italy 14 657 1.5× 47 0.1× 25 0.1× 43 0.3× 5 0.0× 45 818

Countries citing papers authored by Liang Pan

Since Specialization
Citations

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

Fields of papers citing papers by Liang Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Pan. A scholar is included among the top collaborators of Liang Pan 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 Liang Pan. Liang Pan 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.
Cao, Waixiang, et al.. (2025). Multiple-GPU accelerated high-order gas-kinetic scheme on three-dimensional unstructured meshes. Computer Physics Communications. 310. 109513–109513.
2.
Wang, Yibo, Xing Ji, & Liang Pan. (2025). An efficient and robust high-order compact ALE gas-kinetic scheme. Journal of Computational Physics. 543. 114398–114398.
3.
Wang, Yibo, et al.. (2024). Compact high-order gas-kinetic scheme for direct numerical simulation of compressible turbulent flows. Physics of Fluids. 36(1). 3 indexed citations
4.
Wang, Yuhang, et al.. (2023). Multiple-GPU accelerated high-order gas-kinetic scheme for direct numerical simulation of compressible turbulence. Journal of Computational Physics. 476. 111899–111899. 5 indexed citations
5.
Yang, Yaqing, Liang Pan, & Kun Xu. (2023). Three-dimensional third-order gas-kinetic scheme on hybrid unstructured meshes for Euler and Navier–Stokes equations. Computers & Fluids. 255. 105834–105834. 10 indexed citations
6.
Pan, Liang, et al.. (2021). High-order gas-kinetic scheme on three-dimensional unstructured meshes for compressible flows. Physics of Fluids. 33(9). 15 indexed citations
7.
Pan, Liang, et al.. (2021). High-order gas-kinetic scheme with parallel computation for direct numerical simulation of turbulent flows. Journal of Computational Physics. 448. 110739–110739. 17 indexed citations
8.
Li, Yong, T. K. Cheng, & Liang Pan. (2021). Research and application of information Model of industrial Robot Welding System based on OPC UA. 1084–1087. 3 indexed citations
9.
Pan, Liang, et al.. (2021). Three dimensional high-order gas-kinetic scheme for supersonic isotropic turbulence II: Coarse-graining analysis of compressible K budget. Journal of Computational Physics. 439. 110402–110402. 7 indexed citations
10.
Pan, Liang & Kun Xu. (2020). High-Order Gas-Kinetic Scheme in Curvilinear Coordinates for the Euler and Navier-Stokes Solutions. Communications in Computational Physics. 28(4). 1321–1351. 2 indexed citations
11.
Pan, Liang, et al.. (2020). High-order ALE gas-kinetic scheme with WENO reconstruction. Journal of Computational Physics. 417. 109558–109558. 8 indexed citations
12.
Pan, Liang & Kun Xu. (2019). High-order gas-kinetic scheme with three-dimensional WENO reconstruction for the Euler and Navier-Stokes solutions. Computers & Fluids. 198. 104401–104401. 13 indexed citations
13.
Pan, Liang, et al.. (2019). Three dimensional high-order gas-kinetic scheme for supersonic isotropic turbulence I: Criterion for direct numerical simulation. Computers & Fluids. 192. 104273–104273. 22 indexed citations
14.
Pan, Liang, et al.. (2018). Weighted essentially non-oscillatory scheme on unstructured quadrilateral and triangular meshes for hyperbolic conservation laws. Journal of Computational Physics. 374. 605–624. 21 indexed citations
15.
Pan, Liang & Kun Xu. (2018). Two-stage fourth-order gas-kinetic scheme for three-dimensional Euler and Navier-Stokes solutions. International journal of computational fluid dynamics. 32(10). 395–411. 20 indexed citations
16.
Pan, Liang, et al.. (2017). A Two-Stage Fourth-Order Gas-Kinetic Scheme for Compressible Multicomponent Flows. Communications in Computational Physics. 22(4). 1123–1149. 16 indexed citations
17.
Pan, Liang, et al.. (2015). Attitude error correction method for a shipboard single-shaft rotation modulation SINS. 23(2). 156–159. 1 indexed citations
18.
Xu, Jianming, Chengcai Li, Hongrong Shi, Qianshan He, & Liang Pan. (2011). Analysis on the impact of aerosol optical depth on surface solar radiation in the Shanghai megacity, China. Atmospheric chemistry and physics. 11(7). 3281–3289. 27 indexed citations
19.
Friedli, H., Avelino F. Arellano, F. Geng, Changjie Cai, & Liang Pan. (2011). Measurements of atmospheric mercury in Shanghai during September 2009. Atmospheric chemistry and physics. 11(8). 3781–3788. 44 indexed citations
20.
Pan, Liang. (2004). MEMS Based Optomechanical Infrared Imaging. Journal of Experimental Mechanics. 5 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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