Peiyu Chen

665 citations
35 papers · 410 indexed · h-index 11
Topics
Advanced Memory and Neural Computing (9 papers)Granular flow and fluidized beds (7 papers)Ferroelectric and Negative Capacitance Devices (5 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Power SourcesPowder Technology

In The Last Decade

Peiyu Chen

32 papers receiving 399 citations

Peers

Peiyu Chen
Comparison fields: 5 of 84
  • Electrical and Electronic Engineering 206
  • Mechanical Engineering 62
  • Computer Vision and Pattern Recognition 56
  • Aerospace Engineering 56
  • Artificial Intelligence 53
Replace Ginés Doménech‐Asensi with:
Ginés Doménech‐Asensi Spain
Hualiang Zhang China
Donkyu Baek South Korea
Javier Pérez-Ramírez Mexico
Peng Cao China
Danyang Li China
Xin Kong China
Yan Chiew Wong Malaysia
Ahmet Onat Türkiye
Jinlong Lin China
Peiyu Chen relative to Ginés Doménech‐Asensi Spain Ginés Doménech‐Asensi's profile →
Citations per field
00.5×7.9×
Ginés Doménech‐Asensi · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 4
6 10
7 14
8 10
9 1
10 5
11 41
12 9
13 25
14 10
15 10
16 4
17 59
18 21
19 26
20 1

About Peiyu Chen

Peiyu Chen is a scholar working on Energy Engineering and Power Technology, Computational Mechanics and Electrical and Electronic Engineering, having authored 35 papers that have together received 410 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Granular flow and fluidized beds (7 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). The work is most often cited by research in Hardware and Architecture (26 citations), Energy Engineering and Power Technology (12 citations) and Electrical and Electronic Engineering (206 citations). Peiyu Chen has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Peng Lu, Weipeng Guan, Le Ye, Ru Huang, Zhixuan Wang, Linxiao Shen, Yanlong Han, Fuguo Jia, Xiangyi Meng and Yihan Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Powder Technology.

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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