Lian‐Ping Wang

11.4k total citations · 1 hit paper
277 papers, 8.5k citations indexed

About

Lian‐Ping Wang is a scholar working on Computational Mechanics, Ocean Engineering and Earth-Surface Processes. According to data from OpenAlex, Lian‐Ping Wang has authored 277 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Computational Mechanics, 109 papers in Ocean Engineering and 46 papers in Earth-Surface Processes. Recurrent topics in Lian‐Ping Wang's work include Particle Dynamics in Fluid Flows (108 papers), Fluid Dynamics and Turbulent Flows (92 papers) and Lattice Boltzmann Simulation Studies (88 papers). Lian‐Ping Wang is often cited by papers focused on Particle Dynamics in Fluid Flows (108 papers), Fluid Dynamics and Turbulent Flows (92 papers) and Lattice Boltzmann Simulation Studies (88 papers). Lian‐Ping Wang collaborates with scholars based in China, United States and Poland. Lian‐Ping Wang's co-authors include Martin Maxey, Wojciech W. Grabowski, Orlando Ayala, Anthony S. Wexler, Yong Zhou, Zhaoli Guo, Cheng Peng, Shiyi Chen, Bogdan Rosa and Guowei He and has published in prestigious journals such as Physical Review Letters, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Lian‐Ping Wang

267 papers receiving 8.2k citations

Hit Papers

Settling velocity and con... 1993 2026 2004 2015 1993 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Settling velocity and concentration distribution of heavy particles in homogeneous isotropic turbulence
    1993 734 citations Lian‐Ping Wang et al. Journal of Fluid Mechanics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lian‐Ping Wang 5.0k 4.1k 2.2k 1.3k 950 277 8.5k
Federico Toschi 5.4k 1.1× 2.7k 0.6× 836 0.4× 772 0.6× 999 1.1× 238 7.1k
Martin Maxey 5.4k 1.1× 4.9k 1.2× 1.8k 0.8× 346 0.3× 652 0.7× 87 7.7k
M. Gómez‐Gesteira 4.2k 0.8× 1.3k 0.3× 1.7k 0.8× 2.7k 2.0× 592 0.6× 275 10.9k
John K. Eaton 10.2k 2.0× 6.1k 1.5× 2.1k 0.9× 452 0.3× 2.0k 2.2× 308 13.0k
Thomas J. Hanratty 7.8k 1.5× 3.4k 0.8× 612 0.3× 559 0.4× 1.7k 1.8× 230 11.6k
J. Scott Turner 1.9k 0.4× 941 0.2× 1.1k 0.5× 1.0k 0.8× 822 0.9× 67 7.2k
Chao Sun 5.3k 1.1× 1.1k 0.3× 236 0.1× 1.0k 0.8× 608 0.6× 224 7.5k
Luca Brandt 6.6k 1.3× 2.1k 0.5× 533 0.2× 751 0.6× 954 1.0× 238 7.5k
Odd M. Faltinsen 9.1k 1.8× 7.1k 1.7× 1.9k 0.9× 437 0.3× 728 0.8× 264 12.0k
Milovan Perić 7.9k 1.6× 1.5k 0.4× 504 0.2× 235 0.2× 1.6k 1.6× 77 12.2k

Countries citing papers authored by Lian‐Ping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lian‐Ping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lian‐Ping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lian‐Ping Wang. A scholar is included among the top collaborators of Lian‐Ping Wang 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 Lian‐Ping Wang. Lian‐Ping Wang 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.
Wang, Lian‐Ping, et al.. (2025). A mass-conserving, positive-definite, and low-dissipation approach for solving the population balance equation. Powder Technology. 464. 121114–121114.
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Wang, Lian‐Ping, et al.. (2024). DUGKS-GPU: An efficient parallel GPU code for 3D turbulent flow simulations using Discrete Unified Gas Kinetic Scheme. Computer Physics Communications. 301. 109216–109216. 6 indexed citations
4.
Peng, Cheng & Lian‐Ping Wang. (2023). Mechanisms and models of particle drag enhancements in turbulent environments. Journal of Fluid Mechanics. 959. 8 indexed citations
5.
Peng, Cheng, et al.. (2023). Direct numerical simulation of homogeneous shear turbulence subject to a shear periodic boundary with the lattice Boltzmann method. Computers & Mathematics with Applications. 146. 192–199. 3 indexed citations
6.
Zhang, Chunhua, Lian‐Ping Wang, Hong Liang, & Zhaoli Guo. (2023). Central-moment discrete unified gas-kinetic scheme for incompressible two-phase flows with large density ratio. Journal of Computational Physics. 482. 112040–112040. 8 indexed citations
7.
Zhang, Chunhua, Zhaoli Guo, & Lian‐Ping Wang. (2023). A thermodynamically consistent diffuse interface model for multi-component two-phase flow with partial miscibility. Computers & Mathematics with Applications. 150. 22–36.
8.
Peng, Cheng, et al.. (2023). The influence of particle density and diameter on the interactions between the finite-size particles and the turbulent channel flow. International Journal of Multiphase Flow. 170. 104659–104659. 5 indexed citations
9.
Peng, Cheng, Lian‐Ping Wang, Li Ji, Songying Chen, & Zuchao Zhu. (2023). Lattice Boltzmann simulations of homogeneous shear turbulence laden with finite-size particles. Computers & Mathematics with Applications. 154. 65–77. 1 indexed citations
10.
Guo, Zhaoli, et al.. (2023). Discrete unified gas kinetic scheme for continuum compressible flows. Physical review. E. 107(2). 25304–25304. 11 indexed citations
11.
Chen, Tao, et al.. (2022). An efficient discrete unified gas-kinetic scheme for compressible turbulence. Physics of Fluids. 34(11). 8 indexed citations
12.
Wang, Zheng, Xiujuan Tang, Yuehong Shen, et al.. (2022). Suppress the aerosol generation from the air turbine handpiece in dental clinics. AIP Advances. 12(8). 1 indexed citations
13.
Chen, Tao, et al.. (2022). A systematic study of a droplet breakup process in decaying homogeneous isotropic turbulence using a mesoscopic simulation approach. Journal of Turbulence. 23(11-12). 567–614. 2 indexed citations
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Wang, Lian‐Ping, et al.. (2021). An improved discrete unified gas kinetic scheme for simulating compressible natural convection flows. SHILAP Revista de lepidopterología. 11. 100088–100088. 7 indexed citations
16.
Chen, Tao, et al.. (2021). Inverse design of mesoscopic models for compressible flow using the Chapman-Enskog analysis. SHILAP Revista de lepidopterología. 3(1). 9 indexed citations
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Chen, Tao, Tianshu Liu, Lian‐Ping Wang, & Shiyi Chen. (2019). Relations between skin friction and other surface quantities in viscous flows. Physics of Fluids. 31(10). 26 indexed citations
20.
Wang, Lian‐Ping, et al.. (2016). A lattice-Boltzmann scheme of the Navier–Stokes equation on a three-dimensional cuboid lattice. Computers & Mathematics with Applications. 78(4). 1053–1075. 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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