Songdong Shao

5.1k total citations · 1 hit paper
83 papers, 4.4k citations indexed

About

Songdong Shao is a scholar working on Computational Mechanics, Earth-Surface Processes and Ecology. According to data from OpenAlex, Songdong Shao has authored 83 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computational Mechanics, 20 papers in Earth-Surface Processes and 9 papers in Ecology. Recurrent topics in Songdong Shao's work include Fluid Dynamics Simulations and Interactions (69 papers), Fluid Dynamics and Heat Transfer (43 papers) and Lattice Boltzmann Simulation Studies (39 papers). Songdong Shao is often cited by papers focused on Fluid Dynamics Simulations and Interactions (69 papers), Fluid Dynamics and Heat Transfer (43 papers) and Lattice Boltzmann Simulation Studies (39 papers). Songdong Shao collaborates with scholars based in United Kingdom, China and Japan. Songdong Shao's co-authors include Edmond Y. M. Lo, Hitoshi GOTOH, Abbas Khayyer, Pengzhi Lin, Jaan H. Pu, Soon Keat Tan, Changming Ji, Yuefei Huang, Xing Zheng and Simon Tait and has published in prestigious journals such as ACM Transactions on Graphics, Physics of Fluids and Advances in Water Resources.

In The Last Decade

Songdong Shao

81 papers receiving 4.2k citations

Hit Papers

Incompressible SPH method for simulating Newtonian and no... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songdong Shao United Kingdom 35 3.9k 962 890 514 479 83 4.4k
Abbas Khayyer Japan 41 5.6k 1.4× 763 0.8× 932 1.0× 1.1k 2.1× 786 1.6× 124 5.8k
M. Antuono Italy 31 4.3k 1.1× 656 0.7× 568 0.6× 616 1.2× 645 1.3× 70 4.7k
Renato Vacondio Italy 28 2.2k 0.6× 419 0.4× 689 0.8× 259 0.5× 302 0.6× 70 3.1k
A. Colagrossi Italy 44 8.2k 2.1× 776 0.8× 1.0k 1.1× 1.2k 2.3× 1.2k 2.5× 106 8.5k
S. Marrone Italy 34 5.1k 1.3× 499 0.5× 641 0.7× 758 1.5× 729 1.5× 61 5.2k
Muk Chen Ong Norway 29 1.5k 0.4× 594 0.6× 520 0.6× 190 0.4× 1.1k 2.2× 277 2.9k
Damien Violeau France 23 2.4k 0.6× 245 0.3× 535 0.6× 378 0.7× 221 0.5× 78 2.7k
Corrado Altomare Spain 26 1.8k 0.5× 1.4k 1.4× 657 0.7× 104 0.2× 699 1.5× 112 2.6k
Scott Draper Australia 26 847 0.2× 426 0.4× 404 0.5× 228 0.4× 610 1.3× 139 2.3k
Zhenhua Huang United States 30 1.4k 0.4× 1.7k 1.8× 452 0.5× 100 0.2× 1.4k 2.9× 108 2.7k

Countries citing papers authored by Songdong Shao

Since Specialization
Citations

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

Fields of papers citing papers by Songdong Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songdong Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Songdong Shao. A scholar is included among the top collaborators of Songdong Shao 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 Songdong Shao. Songdong Shao 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.
Meng, Qinghua, et al.. (2025). Smoothed particle hydrodynamics for modeling nutrient transport in shallow lakes. Results in Engineering. 28. 106944–106944.
2.
Lu, Hui, Yu Zheng, Huabin Shi, Matteo Rubinato, & Songdong Shao. (2025). DualSPHysics simulations of various wave-structure interactions. Results in Engineering. 28. 106927–106927. 2 indexed citations
3.
He, Ming, Dongfang Liang, Bing Ren, Jiaye Li, & Songdong Shao. (2023). Wave interactions with multi-float structures: SPH model, experimental validation, and parametric study. Coastal Engineering. 184. 104333–104333. 59 indexed citations
4.
Zheng, Wengang, et al.. (2022). DualSPHysics simulations of spillway hydraulics: a comparison between single- and two-phase modelling approaches. Journal of Hydraulic Research. 60(5). 835–852. 18 indexed citations
5.
Zhang, Chi, Yujie Zhu, Dong Wu, et al.. (2022). An artificial damping method for total Lagrangian SPH method with application in biomechanics. Engineering Analysis with Boundary Elements. 143. 1–13. 34 indexed citations
6.
Liang, Dongfang, et al.. (2021). MPM simulation of solitary wave run-up on permeable boundaries. Applied Ocean Research. 111. 102602–102602. 26 indexed citations
7.
Rubinato, Matteo, Min Luo, Xing Zheng, Jaan H. Pu, & Songdong Shao. (2020). Advances in Modelling and Prediction on the Impact of Human Activities and Extreme Events on Environments. Water. 12(6). 1768–1768. 20 indexed citations
8.
Zheng, Xing, et al.. (2019). An Improved 2D + t Incompressible Smoothed Particle Hydrodynamics Approach for High-Speed Vessel Waves. Journal of Coastal Research. 35(5). 1106–1106. 7 indexed citations
9.
Khayyer, Abbas, et al.. (2018). Development of a projection-based SPH method for numerical wave flume with porous media of variable porosity. Coastal Engineering. 140. 1–22. 112 indexed citations
10.
Zheng, Xing, et al.. (2018). A Comparative Study on Violent Sloshing with Complex Baffles Using the ISPH Method. Applied Sciences. 8(6). 904–904. 37 indexed citations
11.
Huang, Yuefei, et al.. (2017). SWE-SPHysics Simulation of Dam Break Flows at South-Gate Gorges Reservoir. Water. 9(6). 387–387. 32 indexed citations
12.
Khayyer, Abbas, et al.. (2017). An Enhanced Particle Method for Simulation of Fluid Flow Interactions with Saturated Porous Media. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 73(2). I_841–I_846. 5 indexed citations
13.
Pu, Jaan H., Yuefei Huang, Songdong Shao, & Khalid Hussain. (2016). Three-Gorges Dam Fine Sediment Pollutant Transport: Turbulence SPH Model Simulation of Multi-Fluid Flows. Journal of Applied Fluid Mechanics. 9(1). 1–10. 26 indexed citations
14.
Liang, Dongfang, et al.. (2011). Simulation of Solitary Wave Impact On Coastal Structures Using Weakly Compressible And Incompressible SPH Methods. Cambridge University Engineering Department Publications Database. 2 indexed citations
15.
Shao, Songdong. (2011). Incompressible smoothed particle hydrodynamics simulation of multifluid flows. International Journal for Numerical Methods in Fluids. 69(11). 1715–1735. 56 indexed citations
16.
Shao, Songdong, et al.. (2010). Revisiting a flood simulation model based on PIC techniques. Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics. 163(4). 235–242. 2 indexed citations
17.
Shao, Songdong. (2009). Incompressible SPH flow model for wave interactions with porous media. Coastal Engineering. 57(3). 304–316. 145 indexed citations
18.
Khayyer, Abbas, Hitoshi GOTOH, & Songdong Shao. (2007). Corrected Incompressible SPH method for accurate water-surface tracking in breaking waves. Coastal Engineering. 55(3). 236–250. 248 indexed citations
19.
Shao, Songdong. (2005). Incompressible SPH simulation of wave breaking and overtopping with turbulence modelling. International Journal for Numerical Methods in Fluids. 50(5). 597–621. 80 indexed citations
20.
Wang, Guangqian, et al.. (1998). Particle Model for Simulating Flow over Large Areas. Journal of Hydraulic Engineering. 124(5). 554–557. 7 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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