Zirui Chen

32 papers receiving 482 citations

Peers

Zirui Chen
Comparison fields: 5 of 101
  • Neurology 44
  • Nuclear Energy and Engineering 2
  • Sensory Systems 17
  • Biological Psychiatry 8
  • Cellular and Molecular Neuroscience 57
Replace Yang Ruan with:
Yang Ruan China
Ken Tanaka Japan
Chun Xiao China
Zhong Zhao China
Suhyun Kim South Korea
Nikolaos Alexandris Greece
Gefei Li China
Aristidis G. Vrahatis Greece
Zihao Xu China
Zhengyuan Pang China
Zirui Chen relative to Yang Ruan China Yang Ruan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Zirui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zirui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zirui Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zirui Chen Line = papers co-authored together Zirui Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200690
2 202482
3 200753
4 201422
5 202422
6
Effect of H1-antagonists on spatial memory deficit evaluated by 8-arm radial maze in rats.
200122
7 201322
8 201719
9 202318
10 200718
11 202317
12 202412
13 202211
14 201111
15 202310
16 20239
17 20247
18 20087
19 20246
20 20235

About Zirui Chen

Zirui Chen is a scholar working on Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 491 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (5 papers), Speech and Audio Processing (4 papers), Millimeter-Wave Propagation and Modeling (4 papers), Wireless Signal Modulation Classification (3 papers), Microwave Imaging and Scattering Analysis (2 papers), Soil and Water Nutrient Dynamics (2 papers), Image and Signal Denoising Methods (2 papers) and Soil Carbon and Nitrogen Dynamics (2 papers). The work is most often cited by research in Neurology (44 citations), Nuclear Energy and Engineering (2 citations), Sensory Systems (17 citations), Biological Psychiatry (8 citations) and Cellular and Molecular Neuroscience (57 citations). Zirui Chen has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Zhaoyang Zhang, Zhaohui Yang, Lisheng Chu, Guoliang Yu, Yudong Zhou, Yujun Zhu, Dang Wu, Richeng Jin, Zhengbing Zhuge and Weiwei Hu. Their work appears in journals such as IEEE Transactions on Wireless Communications, Neuroscience, IEEE Journal on Selected Areas in Communications, Plants and European Journal of Pharmacology.

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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