Yong Shi

2.3k total citations · 1 hit paper
54 papers, 1.9k citations indexed

About

Yong Shi is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Yong Shi has authored 54 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Mechanics, 25 papers in Electrical and Electronic Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Yong Shi's work include Lattice Boltzmann Simulation Studies (25 papers), Aerosol Filtration and Electrostatic Precipitation (15 papers) and Fluid Dynamics and Turbulent Flows (10 papers). Yong Shi is often cited by papers focused on Lattice Boltzmann Simulation Studies (25 papers), Aerosol Filtration and Electrostatic Precipitation (15 papers) and Fluid Dynamics and Turbulent Flows (10 papers). Yong Shi collaborates with scholars based in China, United Kingdom and Hong Kong. Yong Shi's co-authors include Zhaoli Guo, Tianshou Zhao, Guanyi Chen, Song Pan, Liang Xia, Yixuan Wei, Jinshun Wu, Xingxing Zhang, Xiaoyun Zhao and Mengjie Han and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Yong Shi

50 papers receiving 1.9k citations

Hit Papers

A review of data-driven a... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Shi China 22 928 713 498 286 228 54 1.9k
Christian Veje Denmark 22 627 0.7× 593 0.8× 528 1.1× 111 0.4× 133 0.6× 94 2.2k
Andrea Mammoli United States 26 807 0.9× 693 1.0× 240 0.5× 394 1.4× 57 0.3× 85 2.4k
Yufeng Yao United Kingdom 26 406 0.4× 945 1.3× 146 0.3× 269 0.9× 303 1.3× 167 2.3k
Denis Maillet France 24 405 0.4× 591 0.8× 99 0.2× 349 1.2× 131 0.6× 98 2.2k
Zhonghe Han China 31 632 0.7× 282 0.4× 223 0.4× 195 0.7× 159 0.7× 145 2.6k
Domenica Paoletti Italy 28 173 0.2× 237 0.3× 348 0.7× 188 0.7× 122 0.5× 146 2.1k
Gregory Nellis United States 27 416 0.4× 434 0.6× 117 0.2× 598 2.1× 60 0.3× 171 3.0k
Michael R. von Spakovsky United States 28 1.5k 1.6× 139 0.2× 110 0.2× 371 1.3× 147 0.6× 146 3.3k
Larry K.B. Li Hong Kong 35 287 0.3× 1.3k 1.8× 74 0.1× 644 2.3× 296 1.3× 108 3.2k
Allan D. Kraus United States 15 444 0.5× 599 0.8× 100 0.2× 671 2.3× 57 0.3× 26 2.6k

Countries citing papers authored by Yong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Shi. A scholar is included among the top collaborators of Yong Shi 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 Yong Shi. Yong Shi 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.
Miao, Jianyu, Xinyuan Zhang, Chao Fan, et al.. (2025). Multi-graph fusion guided robust adaptive learning for subspace clustering. Expert Systems with Applications. 298. 129918–129918.
3.
Li, Ying, Yong Shi, Xuehui Wang, Ding Luo, & Yuying Yan. (2023). Thermal and electrical contact resistances of thermoelectric generator: Experimental study and artificial neural network modelling. Applied Thermal Engineering. 225. 120154–120154. 26 indexed citations
4.
Chen, Guanyi, et al.. (2022). Experimental study on phase change material based thermal management design with adjustable fins for lithium-ion battery. Applied Thermal Engineering. 221. 119808–119808. 36 indexed citations
5.
Zhang, Xiangzhi, Jing Wang, Chengbo Wang, et al.. (2021). Thermophoretic collection of virus-laden (SARS-CoV-2) aerosols. Biomicrofluidics. 15(2). 24101–24101. 2 indexed citations
6.
Shi, Yong, et al.. (2020). Linearized lattice Boltzmann Method for time periodic electro-osmotic flows in micro- and nanochannels. Physics of Fluids. 32(8). 7 indexed citations
7.
Lian, Zheng, Chaohui Wei, Bin Gao, et al.. (2020). Synergetic treatment of dye contaminated wastewater using microparticles functionalized with carbon nanotubes/titanium dioxide nanocomposites. RSC Advances. 10(16). 9210–9225. 23 indexed citations
8.
Shi, Yong, et al.. (2019). Origin of spurious oscillations in lattice Boltzmann simulations of oscillatory noncontinuum gas flows. Physical review. E. 100(5). 53317–53317. 7 indexed citations
9.
Shi, Yong, et al.. (2019). Separate-phase model and its lattice Boltzmann algorithm for liquid-vapor two-phase flows in porous media. Physical review. E. 99(5). 53302–53302. 5 indexed citations
10.
Shi, Yong, et al.. (2018). Block iterative frequency-based lattice Boltzmann algorithm for microscale oscillatory flow. Computers & Fluids. 167. 196–205. 3 indexed citations
11.
Shi, Yong, et al.. (2016). Lattice Boltzmann simulation of flow and heat transfer in random porous media constructed by simulated annealing algorithm. Applied Thermal Engineering. 115. 1348–1356. 23 indexed citations
12.
Wu, Tao, et al.. (2016). Bipolarly stacked electrolyser for energy and space efficient fabrication of supercapacitor electrodes. Journal of Power Sources. 307. 208–213. 11 indexed citations
13.
Shi, Yong, et al.. (2015). Linearized lattice Boltzmann method for micro- and nanoscale flow and heat transfer. Physical Review E. 92(1). 13307–13307. 17 indexed citations
14.
Shi, Yong, et al.. (2011). Accuracy of the lattice Boltzmann method for low-speed noncontinuum flows. Physical Review E. 83(4). 45701–45701. 32 indexed citations
15.
Guo, Zhaoli, Tianshou Zhao, & Yong Shi. (2006). Generalized hydrodynamic model for fluid flows: From nanoscale to macroscale. Physics of Fluids. 18(6). 35 indexed citations
16.
Przybylski, M., Long Yan, J. Żukrowski, et al.. (2006). Topology-dependent interface contribution to magneto-optical response from ultrathin Co films grown on the (001), (110), and (111) surfaces of Pd. Physical Review B. 73(8). 22 indexed citations
17.
Guo, Zhaoli, Tianshou Zhao, & Yong Shi. (2005). Temperature dependence of the velocity boundary condition for nanoscale fluid flows. Physical Review E. 72(3). 36301–36301. 26 indexed citations
18.
Guo, Zhaoli, Tianshou Zhao, & Yong Shi. (2005). Simple kinetic model for fluid flows in the nanometer scale. Physical Review E. 71(3). 35301–35301. 40 indexed citations
19.
Shi, Yong, Tianshou Zhao, & Zhaoli Guo. (2004). Thermal lattice Bhatnagar-Gross-Krook model for flows with viscous heat dissipation in the incompressible limit. Physical Review E. 70(6). 66310–66310. 122 indexed citations
20.
Guo, Zhaoli, Tianshou Zhao, & Yong Shi. (2004). Preconditioned lattice-Boltzmann method for steady flows. Physical Review E. 70(6). 66706–66706. 62 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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