Guanrui Wang

1.9k total citations
17 papers, 554 citations indexed

About

Guanrui Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guanrui Wang has authored 17 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guanrui Wang's work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Neural Networks and Reservoir Computing (4 papers). Guanrui Wang is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Neural Networks and Reservoir Computing (4 papers). Guanrui Wang collaborates with scholars based in China and United States. Guanrui Wang's co-authors include Jing Pei, Luping Shi, Guoqi Li, Yujie Wu, Rong Zhao, Feng Chen, Lei Deng, Sen Song, Mingguo Zhao and Youhui Zhang and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

Guanrui Wang

15 papers receiving 547 citations

Peers

Guanrui Wang
Comparison fields: 5 of 56
  • Electrical and Electronic Engineering 446
  • Artificial Intelligence 153
  • Cellular and Molecular Neuroscience 135
  • Cognitive Neuroscience 131
  • Materials Chemistry 94
Replace Min-Woo Kwon with:
Min-Woo Kwon South Korea
Arnab Neelim Mazumder United States
Morteza Hosseini United States
Caidie Cheng China
Sangheon Oh United States
Dabin Wu China
Thomas Dalgaty France
Jian Kang China
Weier Wan United States
Min-Woo Kwon South Korea View profile →
Citations per field, relative to Guanrui Wang
Guanrui Wang · 1×
Citations per year, relative to Guanrui Wang
Guanrui Wang · 1×

Countries citing papers authored by Guanrui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guanrui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanrui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guanrui Wang. A scholar is included among the top collaborators of Guanrui Wang 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 Guanrui Wang. Guanrui Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 5
2 69
3 25
4 9
5 0
6 0
7 2
8 124
9 144
10 19
11 2
12 5
13
Convolution with even-sized kernels and symmetric padding
10
14 18
15 8
16 4
17 110

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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