Shulei Song

900 total citations
36 papers, 760 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 760 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, Canada and Romania. Shulei Song's co-authors include Zhenfu Luo, Yuemin Zhao, Xuliang Yang, Chenlong Duan, Yuemin Zhao, Liang Dong, Zengqiang Chen, Bo Zhang, Amit Kumar and Cheng Sheng and has published in prestigious journals such as Energy & Fuels, Resources Conservation and Recycling and Fuel Processing Technology.

In The Last Decade

Shulei Song

35 papers receiving 745 citations

Peers

Shulei Song
Comparison fields: 5 of 60
  • Mechanical Engineering 512
  • Computational Mechanics 421
  • Water Science and Technology 213
  • Biomedical Engineering 162
  • Ocean Engineering 133
Replace S.K. Biswal with:
S.K. Biswal India
R.K. Dwari India
Guanghui Yan China
Enhui Zhou China
Avimanyu Das India
Alok Tripathy India
Maoming Fan China
J. P. Barnwal India
Agnieszka Surowiak Poland
Y. Rama Murthy India
S.K. Biswal India View profile →
Citations per field, relative to Shulei Song
Shulei Song · 1×
Citations per year, relative to Shulei Song
Shulei Song · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 4
4 51
5 18
6 3
7 3
8
TOWARDS OCCLUSION-RESISTANT SURGICAL INSTRUMENT TRACKING
0
9 3
10 23
11 33
12 7
13 23
14 44
15 36
16 29
17 23
18 9
19 1
20 33

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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