Shulei Song

42 total papers · 899 total citations
36 papers, 754 citations indexed

About

Shulei Song is a scholar working on Computational Mechanics, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Shulei Song has authored 36 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 20 papers in Mechanical Engineering and 8 papers in Ocean Engineering. Recurrent topics in Shulei Song's work include Granular flow and fluidized beds (24 papers), Mineral Processing and Grinding (16 papers) and Cyclone Separators and Fluid Dynamics (15 papers). Shulei Song is often cited by papers focused on Granular flow and fluidized beds (24 papers), Mineral Processing and Grinding (16 papers) and Cyclone Separators and Fluid Dynamics (15 papers). Shulei Song collaborates with scholars based in China, Romania and Canada. Shulei Song's co-authors include Zhenfu Luo, Yuemin Zhao, Xuliang Yang, Chenlong Duan, Yuemin Zhao, Zengqiang Chen, Liang Dong, Bo Zhang, Ligang Tang and Cheng Sheng and has published in prestigious journals such as Resources Conservation and Recycling, Energy & Fuels and Fuel Processing Technology.

In The Last Decade

Shulei Song

35 papers receiving 739 citations

Author Peers

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

Author Last Decade Papers Cites
Shulei Song 508 421 211 161 130 36 754
R.K. Dwari 389 0.8× 210 0.5× 335 1.6× 163 1.0× 73 0.6× 32 754
Enhui Zhou 396 0.8× 415 1.0× 183 0.9× 126 0.8× 120 0.9× 51 625
Xiuxiang Tao 417 0.8× 268 0.6× 285 1.4× 292 1.8× 155 1.2× 30 781
Avimanyu Das 587 1.2× 223 0.5× 336 1.6× 263 1.6× 47 0.4× 38 813
Heechan Cho 372 0.7× 124 0.3× 220 1.0× 137 0.9× 121 0.9× 60 671
Alok Tripathy 442 0.9× 251 0.6× 194 0.9× 115 0.7× 64 0.5× 32 625
Milan Čárský 225 0.4× 177 0.4× 191 0.9× 199 1.2× 76 0.6× 45 624
Lubin Wei 425 0.8× 490 1.2× 152 0.7× 138 0.9× 173 1.3× 48 805
Yongjie Na 236 0.5× 300 0.7× 59 0.3× 548 3.4× 185 1.4× 37 817
E.G. Kelly 421 0.8× 178 0.4× 288 1.4× 157 1.0× 49 0.4× 20 679

Countries citing papers authored by Shulei Song

Since Specialization
Citations

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

Fields of papers citing papers by Shulei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulei Song

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

All Works

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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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