Yi-Chun Shih

1.7k total citations · 1 hit paper
33 papers, 1.2k citations indexed

About

Yi-Chun Shih is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Yi-Chun Shih has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 8 papers in Atomic and Molecular Physics, and Optics and 4 papers in Computer Networks and Communications. Recurrent topics in Yi-Chun Shih's work include Ferroelectric and Negative Capacitance Devices (13 papers), Advanced Memory and Neural Computing (9 papers) and Semiconductor materials and devices (8 papers). Yi-Chun Shih is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (13 papers), Advanced Memory and Neural Computing (9 papers) and Semiconductor materials and devices (8 papers). Yi-Chun Shih collaborates with scholars based in Taiwan, United States and Ukraine. Yi-Chun Shih's co-authors include Brian Otis, Yu-Der Chih, Chia-Fu Lee, Po-Hao Lee, Tsung-Yung Jonathan Chang, King‐Fu Lin, Hsiao-Chi Hsieh, Jonathan Chang, Harry Chuang and Chieh-Pu Lo and has published in prestigious journals such as Applied Physics Letters, Journal of Materials Chemistry A and IEEE Journal of Solid-State Circuits.

In The Last Decade

Yi-Chun Shih

33 papers receiving 1.2k citations

Hit Papers

16.4 An 89TOPS/W and 16.3TOPS/mm2 All-Digital SRAM-Based ... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Yi-Chun Shih
Comparison fields: 5 of 56
  • Electrical and Electronic Engineering 1.0k
  • Atomic and Molecular Physics, and Optics 248
  • Biomedical Engineering 171
  • Hardware and Architecture 148
  • Mechanical Engineering 111
Replace Guangjun Xie with:
Guangjun Xie China
Liang Fang China
Huichu Liu United States
Aida Todri‐Sanial France
Jaehoon Lee South Korea
Tadahiko Sugibayashi Japan
Ya‐Chin King Taiwan
Vaibhav Gupta Germany
Lan Wei Canada
Leland Chang United States
Guangjun Xie China View profile →
Citations per field, relative to Yi-Chun Shih
Yi-Chun Shih · 1×
Citations per year, relative to Yi-Chun Shih
Yi-Chun Shih · 1×

Countries citing papers authored by Yi-Chun Shih

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Chun Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Chun Shih. 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 Yi-Chun Shih. The network helps show where Yi-Chun Shih may publish in the future.

Co-authorship network of co-authors of Yi-Chun Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Chun Shih. A scholar is included among the top collaborators of Yi-Chun Shih 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 Yi-Chun Shih. Yi-Chun Shih 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
# Work Indexed citations
1 31
2 46
3 24
4
16.4 An 89TOPS/W and 16.3TOPS/mm2 All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications breakdown →
206
5 9
6 23
7 54
8 41
9 70
10 97
11 22
12 18
13 12
14 2
15 3
16 14
17 20
18 34
19 11
20 2

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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2026