Shuang Pi

1.3k citations
13 papers · 798 indexed · 1 hit paper · h-index 8
Topics
Advanced Memory and Neural Computing (10 papers)Ferroelectric and Negative Capacitance Devices (8 papers)Neuroscience and Neural Engineering (7 papers)

In The Last Decade

Shuang Pi

13 papers receiving 786 citations

Hit Papers

Memristor crossbar arrays with 6-nm half-pitch and 2-nm c...20182026202020232018100200300400

Peers

Shuang Pi
Comparison fields: 5 of 49
  • Electrical and Electronic Engineering 705
  • Cellular and Molecular Neuroscience 325
  • Polymers and Plastics 112
  • Materials Chemistry 101
  • Biomedical Engineering 71
Replace Myungsoo Seo with:
Myungsoo Seo South Korea
Yimao Cai China
Ye Tao China
Tiancheng Gong China
Jiyong Woo South Korea
Tao Zeng China
Weijie Yu China
Shubham Ranjan Canada
Xiaodi Huang China
Shuang Pi relative to Myungsoo Seo South Korea Myungsoo Seo's profile →
Citations per field
00.5×1.5×2.2×
Myungsoo Seo · 1×
Citations per year

Countries citing papers authored by Shuang Pi

Since Specialization
Citations

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

Fields of papers citing papers by Shuang Pi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuang Pi

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 3
3
Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimensionbreakdown →
429
4 12
5 10
6 112
7 110
8 7
9 5
10 25
11 9
12 70
13 2

About Shuang Pi

Shuang Pi is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Environmental Engineering, having authored 13 papers that have together received 798 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (325 citations), Electrical and Electronic Engineering (705 citations) and Polymers and Plastics (112 citations). Shuang Pi has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Qiangfei Xia, Can Li, Hao Jiang, J. Joshua Yang, Huolin L. Xin, Peng Lin, Joseph C. Bardin, Ramesh Adhikari, Joy E. Ward and Mark Tuominen. Their work appears in journals such as Nature Communications, Nature Nanotechnology and Small.

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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