Yi-Chun Shih
- Electrical and Electronic Engineering top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Biomedical Engineering
- Hardware and Architecture top 5%
- Mechanical Engineering
- Co-authors
- Brian OtisYu-Der ChihChia-Fu LeePo-Hao LeeTsung-Yung Jonathan ChangKing‐Fu LinHsiao-Chi HsiehJonathan Chang
- Topics
- Ferroelectric and Negative Capacitance Devices (13 papers)Advanced Memory and Neural Computing (9 papers)Semiconductor materials and devices (8 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringAtomic and Molecular Physics, and Optics
- Journals
- Applied Physics LettersJournal of Materials Chemistry AIEEE Journal of Solid-State Circuits
- Partner nations
- TaiwanUnited StatesUkraine
In The Last Decade
Yi-Chun Shih
33 papers receiving 1.2k citations
Hit Papers
Peers
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
Countries citing papers authored by Yi-Chun Shih
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
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
| # | 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 Applicationsbreakdown → | 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 |
About Yi-Chun Shih
Yi-Chun Shih is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (13 papers), Advanced Memory and Neural Computing (9 papers) and Semiconductor materials and devices (8 papers). The work is most often cited by research in Hardware and Architecture (148 citations), Electrical and Electronic Engineering (1.0k citations) and Atomic and Molecular Physics, and Optics (248 citations). Yi-Chun Shih has collaborated with scholars based in Taiwan, United States and Ukraine. Frequent 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. Their work appears in journals such as Applied Physics Letters, Journal of Materials Chemistry A and IEEE Journal of Solid-State Circuits.
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.