Shengnan Yan

37 total papers · 606 total citations
26 papers, 505 citations indexed

About

Shengnan Yan is a scholar working on Computational Mechanics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Shengnan Yan has authored 26 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 9 papers in Ocean Engineering and 7 papers in Mechanical Engineering. Recurrent topics in Shengnan Yan's work include Granular flow and fluidized beds (8 papers), Particle Dynamics in Fluid Flows (8 papers) and Cognitive Radio Networks and Spectrum Sensing (6 papers). Shengnan Yan is often cited by papers focused on Granular flow and fluidized beds (8 papers), Particle Dynamics in Fluid Flows (8 papers) and Cognitive Radio Networks and Spectrum Sensing (6 papers). Shengnan Yan collaborates with scholars based in China, United States and South Korea. Shengnan Yan's co-authors include Yurong He, Tianyu Wang, Wangxu Li, Tianqi Tang, Zhenggui Li, Yanwei Hu, Cong Qi, Xiaoxiang Wang, Yuxia Li and Jiangtao Wen and has published in prestigious journals such as Physics of Fluids, Neurocomputing and Powder Technology.

In The Last Decade

Shengnan Yan

23 papers receiving 488 citations

Author Peers

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

Author						Papers	Cites
Shengnan Yan	259	181	158	98	76	26	505
Ruijie Liu	175 0.7×	222 1.2×	197 1.2×	59 0.6×	125 1.6×	31	573
Yu Hu	113 0.4×	38 0.2×	221 1.4×	12 0.1×	59 0.8×	35	529
Thomas Schäfer	124 0.5×	108 0.6×	159 1.0×	54 0.6×	135 1.8×	24	538
Bonyong Koo	125 0.5×	101 0.6×	58 0.4×	81 0.8×	139 1.8×	45	476
S. Kumar Ranjith	183 0.7×	143 0.8×	193 1.2×	33 0.3×	36 0.5×	34	502
D. R. Otis	164 0.6×	188 1.0×	93 0.6×	17 0.2×	26 0.3×	24	510
Hanxin Chen	73 0.3×	185 1.0×	105 0.7×	69 0.7×	178 2.3×	13	479
Guofeng Zhao	114 0.4×	240 1.3×	133 0.8×	64 0.7×	45 0.6×	35	453
Yile Gu	363 1.4×	63 0.3×	35 0.2×	252 2.6×	18 0.2×	23	528
S. Edelman	73 0.3×	37 0.2×	219 1.4×	9 0.1×	93 1.2×	27	451

Countries citing papers authored by Shengnan Yan

Since Specialization

Citations

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

Fields of papers citing papers by Shengnan Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengnan Yan

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