Ku-Feng Lin
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- Advancements in Semiconductor Devices and Circuit Design
- Hardware and Architecture top 10%
Papers in
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- Semiconductor materials and devices 12
- Ferroelectric and Negative Capacitance Devices 10
- Advanced Memory and Neural Computing 8
- Advancements in Semiconductor Devices and Circuit Design 3
- Low-power high-performance VLSI design 2
- Co-authors
- Yu-Der Chih (9 shared papers)Meng‐Fan Chang (9 shared papers)Jonathan Chang (7 shared papers)Ya‐Chin King (4 shared papers)Chao‐Sheng Cheng (4 shared papers)Ping‐Chiang Lyu (4 shared papers)Chorng-Jung Lin (3 shared papers)Che-Wei Wu (4 shared papers)
- Journals
- IEEE Journal of Solid-State Circuits (5 papers)Biochemistry (3 papers)Enzyme and Microbial Technology (1 paper)Biophysical Journal (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- TaiwanUnited StatesNetherlands
In The Last Decade
Ku-Feng Lin
21 papers receiving 723 citations
Peers
Comparison fields: 5 of 65
- Electrical and Electronic Engineering 469
- Hardware and Architecture 49
- Neurology 48
- Biotechnology 26
- Genetics 31
Countries citing papers authored by Ku-Feng Lin
This map shows the geographic impact of Ku-Feng Lin'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 Ku-Feng Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ku-Feng Lin more than expected).
Fields of papers citing papers by Ku-Feng Lin
This network shows the impact of papers produced by Ku-Feng Lin. 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 Ku-Feng Lin. The network helps show where Ku-Feng Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ku-Feng Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 121 | |
| 2 | 2013 | 78 | |
| 3 | 2012 | 70 | |
| 4 | 2013 | 66 | |
| 5 | 2004 | 62 | |
| 6 | 2005 | 58 | |
| 7 | 2010 | 35 | |
| 8 | 2020 | 35 | |
| 9 | 2013 | 35 | |
| 10 | 2019 | 32 | |
| 11 | 2013 | 25 | |
| 12 | 2015 | 22 | |
| 13 | 2012 | 21 | |
| 14 | 2021 | 17 | |
| 15 | 2004 | 17 | |
| 16 | 2010 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2012 | 6 | |
| 19 | 2010 | 6 | |
| 20 | 2017 | 5 |
About Ku-Feng Lin
Ku-Feng Lin is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Computer Networks and Communications, Hardware and Architecture and Cell Biology, having authored 22 papers that have together received 738 indexed citations. Recurring topics across this work include Semiconductor materials and devices (12 papers), Ferroelectric and Negative Capacitance Devices (10 papers), Advanced Memory and Neural Computing (8 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Analog and Mixed-Signal Circuit Design (2 papers), Low-power high-performance VLSI design (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (469 citations), Hardware and Architecture (49 citations), Neurology (48 citations), Biotechnology (26 citations) and Genetics (31 citations). Ku-Feng Lin has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Yu-Der Chih, Meng‐Fan Chang, Jonathan Chang, Ya‐Chin King, Chao‐Sheng Cheng, Ping‐Chiang Lyu, Chorng-Jung Lin, Che-Wei Wu, Dharmaraj Samuel and S. Natarajan. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Biochemistry, Enzyme and Microbial Technology, Biophysical Journal and Journal of Biological Chemistry.
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.