Shaoping Quan

1.0k total citations
33 papers, 851 citations indexed

About

Shaoping Quan is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Biomedical Engineering. According to data from OpenAlex, Shaoping Quan has authored 33 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 15 papers in Fluid Flow and Transfer Processes and 8 papers in Biomedical Engineering. Recurrent topics in Shaoping Quan's work include Fluid Dynamics and Heat Transfer (22 papers), Advanced Combustion Engine Technologies (15 papers) and Combustion and flame dynamics (13 papers). Shaoping Quan is often cited by papers focused on Fluid Dynamics and Heat Transfer (22 papers), Advanced Combustion Engine Technologies (15 papers) and Combustion and flame dynamics (13 papers). Shaoping Quan collaborates with scholars based in United States, Singapore and Italy. Shaoping Quan's co-authors include David P. Schmidt, Jing Lou, P. K. Senecal, Sibendu Som, Michele Battistoni, Eric Pomraning, Jinsong Hua, Kaushik Saha, Chang Wei Kang and K. Mukundakrishnan and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and RSC Advances.

In The Last Decade

Shaoping Quan

33 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaoping Quan United States 17 731 324 266 129 111 33 851
Chengxin Bai United Kingdom 4 644 0.9× 337 1.0× 98 0.4× 114 0.9× 77 0.7× 5 781
Simona Tonini Italy 15 507 0.7× 145 0.4× 155 0.6× 37 0.3× 257 2.3× 61 645
Hengjie Guo China 16 817 1.1× 685 2.1× 99 0.4× 191 1.5× 159 1.4× 41 933
Zhenfeng Zhao China 16 392 0.5× 544 1.7× 143 0.5× 200 1.6× 48 0.4× 53 809
Marco Crialesi-Esposito Sweden 13 340 0.5× 113 0.3× 156 0.6× 24 0.2× 58 0.5× 24 463
Arghya Samanta India 21 868 1.2× 279 0.9× 459 1.7× 25 0.2× 46 0.4× 50 1.0k
Yangbing Zeng United States 12 288 0.4× 244 0.8× 130 0.5× 81 0.6× 91 0.8× 28 428
Pavlos Aleiferis United Kingdom 18 500 0.7× 586 1.8× 198 0.7× 141 1.1× 60 0.5× 29 706
Yifan Zhang China 13 383 0.5× 70 0.2× 257 1.0× 137 1.1× 33 0.3× 50 623

Countries citing papers authored by Shaoping Quan

Since Specialization
Citations

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

Fields of papers citing papers by Shaoping Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoping Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoping Quan. A scholar is included among the top collaborators of Shaoping Quan 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 Shaoping Quan. Shaoping Quan 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.
Saha, Kaushik, et al.. (2018). Modeling the Dynamic Coupling of Internal Nozzle Flow and Spray Formation for Gasoline Direct Injection Applications. SAE technical papers on CD-ROM/SAE technical paper series. 1. 10 indexed citations
2.
Saha, Kaushik, Shaoping Quan, Michele Battistoni, et al.. (2017). Coupled Eulerian Internal Nozzle Flow and Lagrangian Spray Simulations for GDI Systems. SAE technical papers on CD-ROM/SAE technical paper series. 1. 45 indexed citations
3.
4.
Kumar, Gaurav, et al.. (2015). Application of Automatic Meshing to Urea-Water Injection Simulation for Engine Aftertreatment. SAE technical papers on CD-ROM/SAE technical paper series. 1. 17 indexed citations
5.
Saha, Kaushik, Sibendu Som, Michele Battistoni, et al.. (2015). Numerical simulation of internal and near-nozzle flow of a gasoline direct injection fuel injector. Journal of Physics Conference Series. 656. 12100–12100. 14 indexed citations
6.
Saha, Kaushik, Sibendu Som, Michele Battistoni, et al.. (2015). Modeling of Internal and Near-Nozzle Flow for a GDI Fuel Injector. 16 indexed citations
7.
Xue, Qiang, Michele Battistoni, Christopher F. Powell, et al.. (2014). An Eulerian CFD model and X-ray radiography for coupled nozzle flow and spray in internal combustion engines. International Journal of Multiphase Flow. 70. 77–88. 72 indexed citations
8.
Zhao, Hongwu, Shaoping Quan, Eric Pomraning, et al.. (2014). Validation of a Three-Dimensional Internal Nozzle Flow Model Including Automatic Mesh Generation and Cavitation Effects. Journal of Engineering for Gas Turbines and Power. 136(9). 41 indexed citations
9.
Quan, Shaoping, Eric Pomraning, P. K. Senecal, et al.. (2014). Numerical Simulations of Supersonic Diesel Spray Injection and the Induced Shock Waves. SAE International Journal of Engines. 7(2). 1054–1060. 12 indexed citations
10.
Som, Sibendu, Douglas E. Longman, S. M. Aithal, et al.. (2013). A Numerical Investigation on Scalability and Grid Convergence of Internal Combustion Engine Simulations. SAE technical papers on CD-ROM/SAE technical paper series. 1. 42 indexed citations
11.
Quan, Shaoping & Jing Lou. (2011). Viscosity-ratio-based scaling for the rise velocity of a Taylor drop in a vertical tube. Physical Review E. 84(3). 36320–36320. 7 indexed citations
12.
Quan, Shaoping. (2011). Simulations of multiphase flows with multiple length scales using moving mesh interface tracking with adaptive meshing. Journal of Computational Physics. 230(13). 5430–5448. 16 indexed citations
13.
Quan, Shaoping. (2011). Co-current flow effects on a rising Taylor bubble. International Journal of Multiphase Flow. 37(8). 888–897. 29 indexed citations
14.
Poon, Eric, Shaoping Quan, Jing Lou, Matteo Giacobello, & Andrew Ooi. (2011). Dynamics of a deformable, transversely rotating droplet released into a uniform flow. Journal of Fluid Mechanics. 684. 227–250. 9 indexed citations
15.
Kang, Chang Wei, Shaoping Quan, & Jing Lou. (2010). Numerical study of a Taylor bubble rising in stagnant liquids. Physical Review E. 81(6). 66308–66308. 50 indexed citations
16.
Quan, Shaoping, Jing Lou, & David P. Schmidt. (2009). Modeling merging and breakup in the moving mesh interface tracking method for multiphase flow simulations. Journal of Computational Physics. 228(7). 2660–2675. 49 indexed citations
17.
Quan, Shaoping & Jinsong Hua. (2008). Numerical studies of bubble necking in viscous liquids. Physical Review E. 77(6). 66303–66303. 48 indexed citations
18.
Mukundakrishnan, K., Shaoping Quan, David M. Eckmann, & P. S. Ayyaswamy. (2007). Numerical study of wall effects on buoyant gas-bubble rise in a liquid-filled finite cylinder. Physical Review E. 76(3). 36308–36308. 62 indexed citations
19.
Quan, Shaoping & David P. Schmidt. (2006). A moving mesh interface tracking method for 3D incompressible two-phase flows. Journal of Computational Physics. 221(2). 761–780. 73 indexed citations
20.
Quan, Shaoping & David P. Schmidt. (2006). Direct numerical study of a liquid droplet impulsively accelerated by gaseous flow. Physics of Fluids. 18(10). 55 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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