Kai‐Shin Li

1.1k citations
36 papers · 804 indexed · h-index 13
Topics
Semiconductor materials and devices (19 papers)Advanced Memory and Neural Computing (17 papers)Ferroelectric and Negative Capacitance Devices (17 papers)

In The Last Decade

Kai‐Shin Li

36 papers receiving 787 citations

Peers

Kai‐Shin Li
Comparison fields: 5 of 32
  • Electrical and Electronic Engineering 739
  • Materials Chemistry 302
  • Biomedical Engineering 59
  • Artificial Intelligence 51
  • Cellular and Molecular Neuroscience 47
Replace Wen‐Kuan Yeh with:
Wen‐Kuan Yeh Taiwan
Jau-Yi Wu Taiwan
Sebastián Pazos Argentina
Min‐Cheng Chen Taiwan
Maximilian Lederer Germany
Sven Beyer Germany
Tsung‐Ta Wu Taiwan
Darsith Jayachandran United States
Shosuke Fujii Japan
N. Castellani France
Kai‐Shin Li relative to Wen‐Kuan Yeh Taiwan Wen‐Kuan Yeh's profile →
Citations per field
00.5×1.5×
Wen‐Kuan Yeh · 1×
Citations per year

Countries citing papers authored by Kai‐Shin Li

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Shin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Shin Li. 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 Kai‐Shin Li. The network helps show where Kai‐Shin Li may publish in the future.

Co-authorship network of co-authors of Kai‐Shin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Shin Li. A scholar is included among the top collaborators of Kai‐Shin Li 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 Kai‐Shin Li. Kai‐Shin Li 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 1
2 11
3 37
4 10
5 7
6 4
7 6
8
First Demonstration of Interface-Enhanced SAF Enabling 400°C-Robust 42 nm p-SOT-MTJ Cells with STT-Assisted Field-Free Switching and Composite Channels
1
9 9
10 18
11 30
12 1
13 15
14 6
15 8
16 110
17 58
18 10
19 11
20 34

About Kai‐Shin Li

Kai‐Shin Li is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Condensed Matter Physics, having authored 36 papers that have together received 804 indexed citations. Recurring topics across this work include Semiconductor materials and devices (19 papers), Advanced Memory and Neural Computing (17 papers) and Ferroelectric and Negative Capacitance Devices (17 papers). The work is most often cited by research in Electrical and Electronic Engineering (739 citations), Materials Chemistry (302 citations) and Hardware and Architecture (24 citations). Kai‐Shin Li has collaborated with scholars based in Taiwan, United States and Philippines. Frequent co-authors include Min‐Cheng Chen, Wen‐Kuan Yeh, Chang-Hsien Lin, Jia‐Min Shieh, Fu-Liang Yang, Chenming Hu, Yun-Fang Hou, M. H. Lee, Chun‐Chi Chen and Ming-Han Liao. Their work appears in journals such as ACS Nano, Applied Physics Letters and Journal of Applied Physics.

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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