Shunchen Shi

14 total papers · 759 total citations
7 papers, 593 citations indexed

About

Shunchen Shi is a scholar working on Computational Mechanics, Biomedical Engineering and Ocean Engineering. According to data from OpenAlex, Shunchen Shi has authored 7 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 4 papers in Biomedical Engineering and 3 papers in Ocean Engineering. Recurrent topics in Shunchen Shi's work include Particle Dynamics in Fluid Flows (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Fluid Dynamics and Mixing (2 papers). Shunchen Shi is often cited by papers focused on Particle Dynamics in Fluid Flows (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Fluid Dynamics and Mixing (2 papers). Shunchen Shi collaborates with scholars based in United States, China and Japan. Shunchen Shi's co-authors include А. В. Смирнов, İsmail Çelik, Madhava Syamlal, William A. Rogers, Stephen E. Zitney, Mehrdad Shahnam, Ryan Blanchard, Huan Wang, Guangming Tan and Ninghui Sun and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, Journal of Fluids Engineering and Computers & Fluids.

In The Last Decade

Shunchen Shi

7 papers receiving 559 citations

Hit Papers

Random Flow Generation Te... 2001 2026 2009 2017 2001 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Shunchen Shi 464 292 268 102 87 7 593
L. H. Benedict 509 1.1× 298 1.0× 209 0.8× 86 0.8× 32 0.4× 8 632
Zeynep N. Cehreli 459 1.0× 233 0.8× 172 0.6× 85 0.8× 22 0.3× 6 566
N.K. Tutu 442 1.0× 273 0.9× 149 0.6× 169 1.7× 136 1.6× 17 615
Samuel Ohring 431 0.9× 155 0.5× 76 0.3× 66 0.6× 82 0.9× 18 567
G. N. Abramovich 416 0.9× 274 0.9× 69 0.3× 129 1.3× 52 0.6× 25 587
Olivier Cabrit 576 1.2× 210 0.7× 137 0.5× 56 0.5× 37 0.4× 14 648
Dmitry A. Lysenko 458 1.0× 169 0.6× 197 0.7× 37 0.4× 30 0.3× 22 533
F. Unger 572 1.2× 139 0.5× 229 0.9× 139 1.4× 65 0.7× 4 638
H. Reichardt 453 1.0× 124 0.4× 115 0.4× 165 1.6× 105 1.2× 11 636
S. Eskinazi 537 1.2× 316 1.1× 153 0.6× 149 1.5× 22 0.3× 19 603

Countries citing papers authored by Shunchen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shunchen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunchen Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shunchen Shi. A scholar is included among the top collaborators of Shunchen 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 Shunchen Shi. Shunchen Shi 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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