Pubing Yu

450 total citations
10 papers, 329 citations indexed

About

Pubing Yu is a scholar working on Applied Mathematics, Atmospheric Science and Ocean Engineering. According to data from OpenAlex, Pubing Yu has authored 10 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Applied Mathematics, 4 papers in Atmospheric Science and 3 papers in Ocean Engineering. Recurrent topics in Pubing Yu's work include Gas Dynamics and Kinetic Theory (5 papers), Tropical and Extratropical Cyclones Research (4 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). Pubing Yu is often cited by papers focused on Gas Dynamics and Kinetic Theory (5 papers), Tropical and Extratropical Cyclones Research (4 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). Pubing Yu collaborates with scholars based in China, Hong Kong and Taiwan. Pubing Yu's co-authors include Kun Xu, Juan-Chen Huang, Chengwen Zhong, Sha Liu, Jicai Huang, Hui Hu, Quanhua Sun, Yongping Chen, Yi Pan and Zhuang Zhang and has published in prestigious journals such as Journal of Computational Physics, Environmental Modelling & Software and Computers & Chemical Engineering.

In The Last Decade

Pubing Yu

10 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pubing Yu China 5 287 270 74 48 19 10 329
S. A. Zabelok Russia 10 316 1.1× 282 1.0× 116 1.6× 50 1.0× 30 1.6× 25 379
Neal Bitter United States 10 165 0.6× 254 0.9× 96 1.3× 41 0.9× 14 0.7× 16 301
Ryan Gosse United States 11 181 0.6× 324 1.2× 204 2.8× 34 0.7× 18 0.9× 36 400
Derek S. Liechty United States 13 356 1.2× 245 0.9× 251 3.4× 30 0.6× 29 1.5× 40 418
Viola Wartemann Germany 11 111 0.4× 279 1.0× 200 2.7× 36 0.8× 11 0.6× 36 354
Kazuhisa Fujita Japan 9 178 0.6× 101 0.4× 123 1.7× 39 0.8× 9 0.5× 39 291
Erik Mundy United States 10 253 0.9× 281 1.0× 124 1.7× 28 0.6× 6 0.3× 14 329
Özgür Tümüklü United States 11 253 0.9× 315 1.2× 170 2.3× 33 0.7× 16 0.8× 32 360
Gerald J. LeBeau United States 9 350 1.2× 247 0.9× 227 3.1× 33 0.7× 33 1.7× 18 404
Akhter Rasheed Pakistan 9 121 0.4× 213 0.8× 132 1.8× 24 0.5× 8 0.4× 28 350

Countries citing papers authored by Pubing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Pubing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pubing Yu

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

All Works

10 of 10 papers shown
1.
Yu, Pubing, et al.. (2025). An Adaptive Local Time-Stepping Method Applied to Storm Surge Inundation Simulation. Journal of Marine Science and Engineering. 13(3). 467–467. 1 indexed citations
2.
Liu, Guilin, Tao Ji, Guoxiang Wu, & Pubing Yu. (2024). Improved local time-stepping schemes for storm surge modeling on unstructured grids. Environmental Modelling & Software. 179. 106107–106107. 3 indexed citations
3.
Zhang, Zhuang, et al.. (2020). Characteristic of Wave-induced Setup in Yangtze Estuary during Typhoon Processes. Journal of Coastal Research. 95(sp1). 1563–1563. 3 indexed citations
4.
Huang, Juan-Chen, Kun Xu, & Pubing Yu. (2013). A Unified Gas-Kinetic Scheme for Continuum and Rarefied Flows III: Microflow Simulations. Communications in Computational Physics. 14(5). 1147–1173. 77 indexed citations
5.
Liu, Sha, Pubing Yu, Kun Xu, & Chengwen Zhong. (2013). Unified gas-kinetic scheme for diatomic molecular simulations in all flow regimes. Journal of Computational Physics. 259. 96–113. 82 indexed citations
6.
Huang, Juan-Chen, Kun Xu, & Pubing Yu. (2012). A Unified Gas-Kinetic Scheme for Continuum and Rarefied Flows II: Multi-Dimensional Cases. Communications in Computational Physics. 12(3). 662–690. 144 indexed citations
7.
Hu, Hui, et al.. (2012). Simulation of vapor flows in short path distillation. Computers & Chemical Engineering. 49. 127–135. 9 indexed citations
8.
Xu, Kun, Quanhua Sun, & Pubing Yu. (2010). Valid Physical Processes from Numerical Discontinuities in Computational Fluid Dynamics. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1(3). 157–172. 5 indexed citations
9.
Yu, Pubing. (2009). Numerical simulation of sediment transport in discontinuous shallow water flows with triangle grids. 2 indexed citations
10.
Yu, Pubing. (2009). Numerical method for the storm tide overflow model in Hangzhou bay and Qiantangjiang estuary. Advances in Water Science. 3 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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