Shuai Yan

112 total papers · 522 total citations
35 papers, 361 citations indexed

About

Shuai Yan is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Oncology. According to data from OpenAlex, Shuai Yan has authored 35 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 6 papers in Fluid Flow and Transfer Processes and 4 papers in Oncology. Recurrent topics in Shuai Yan's work include Advanced Combustion Engine Technologies (6 papers), Combustion and flame dynamics (6 papers) and Atmospheric chemistry and aerosols (4 papers). Shuai Yan is often cited by papers focused on Advanced Combustion Engine Technologies (6 papers), Combustion and flame dynamics (6 papers) and Atmospheric chemistry and aerosols (4 papers). Shuai Yan collaborates with scholars based in China, United Kingdom and United States. Shuai Yan's co-authors include Xudong Dong, Chaoqun Duan, Yan Gong, Qinghua Guo, Guangsuo Yu, Shuai Li, Shi‐Ping Wang, Fuchen Wang, Wen‐Xiang Chai and Yunyang Zhang and has published in prestigious journals such as Fuel, Energy and Geophysics.

In The Last Decade

Shuai Yan

31 papers receiving 350 citations

Hit Papers

A lightweight vehicles de... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Shuai Yan 127 56 43 40 38 35 361
Lei Li 33 0.3× 97 1.7× 48 1.1× 101 2.5× 31 0.8× 43 378
Chunnian Zeng 87 0.7× 82 1.5× 40 0.9× 91 2.3× 53 1.4× 40 337
Yang Wang 105 0.8× 40 0.7× 47 1.1× 53 1.3× 15 0.4× 35 348
Zhenyu Wang 79 0.6× 31 0.6× 11 0.3× 33 0.8× 24 0.6× 22 308
Guoqiang Wang 74 0.6× 19 0.3× 12 0.3× 172 4.3× 14 0.4× 48 365
Xiaowei Xu 56 0.4× 20 0.4× 38 0.9× 12 0.3× 35 0.9× 35 334
Shunliang Jiang 156 1.2× 41 0.7× 18 0.4× 6 0.1× 22 0.6× 25 376
Tao Li 23 0.2× 31 0.6× 14 0.3× 60 1.5× 159 4.2× 29 399
Andrzej Sioma 91 0.7× 59 1.1× 4 0.1× 27 0.7× 21 0.6× 48 342
Xiao Yang 53 0.4× 19 0.3× 17 0.4× 15 0.4× 26 0.7× 34 393

Countries citing papers authored by Shuai Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Yan

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