Peiyu Chen

56 total papers · 644 total citations
34 papers, 391 citations indexed

About

Peiyu Chen is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Peiyu Chen has authored 34 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 7 papers in Computational Mechanics and 7 papers in Mechanical Engineering. Recurrent topics in Peiyu Chen's work include Advanced Memory and Neural Computing (9 papers), Granular flow and fluidized beds (7 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). Peiyu Chen is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Granular flow and fluidized beds (7 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). Peiyu Chen collaborates with scholars based in China, Hong Kong and United Kingdom. Peiyu Chen's co-authors include Weipeng Guan, Peng Lu, Le Ye, Xinyi Zhang, Ru Huang, Zhixuan Wang, Linxiao Shen, Yanlong Han, Xiangyi Meng and Fuguo Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Powder Technology.

In The Last Decade

Peiyu Chen

31 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Peiyu Chen	196	61	54	53	53	34	391
Matteo Nardello	197 1.0×	27 0.4×	47 0.9×	38 0.7×	45 0.8×	39	394
Félix Moreno	107 0.5×	27 0.4×	56 1.0×	42 0.8×	34 0.6×	41	428
Peter Green	171 0.9×	42 0.7×	19 0.4×	71 1.3×	44 0.8×	45	348
Yan Chiew Wong	234 1.2×	63 1.0×	60 1.1×	23 0.4×	42 0.8×	62	426
Tao Gao	57 0.3×	65 1.1×	85 1.6×	139 2.6×	30 0.6×	34	411
Yimei Kang	60 0.3×	161 2.6×	42 0.8×	29 0.5×	21 0.4×	27	375
Shize Huang	108 0.6×	130 2.1×	44 0.8×	67 1.3×	16 0.3×	35	384
Jaewon Seo	97 0.5×	46 0.8×	14 0.3×	73 1.4×	117 2.2×	34	359
Sen Li	173 0.9×	46 0.8×	24 0.4×	45 0.8×	37 0.7×	50	402
Dan Liu	95 0.5×	94 1.5×	47 0.9×	48 0.9×	54 1.0×	61	347

Countries citing papers authored by Peiyu Chen

Since Specialization

Citations

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

Fields of papers citing papers by Peiyu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyu Chen

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