Chung‐Yu Wu
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- Radio Frequency Integrated Circuit Design 55
- CCD and CMOS Imaging Sensors 47
- Advanced Memory and Neural Computing 45
- Advancements in Semiconductor Devices and Circuit Design 41
- Semiconductor materials and devices 33
- Electrostatic Discharge in Electronics 32
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- Neuroscience and Neural Engineering 57
- Biomedical Engineering top 5%
- Analog and Mixed-Signal Circuit Design 73
- Bioengineering top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Ming‐Dou KerMing-Dou KerHun-Hsien ChangChih-Cheng HsiehTai‐Ping SunHong‐Yi HuangWei‐Ming ChenChih‐Cheng Chen
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeuroscienceBiomedical Engineering
- Journals
- Journal of Geophysical Research Atmospheres (1 paper)Journal of The Electrochemical Society (3 papers)Analytical Biochemistry (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chung‐Yu Wu
247 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 109
- Electrical and Electronic Engineering 2.5k
- Cellular and Molecular Neuroscience 509
- Biomedical Engineering 964
- Bioengineering 88
- Cognitive Neuroscience 266
Countries citing papers authored by Chung‐Yu Wu
This map shows the geographic impact of Chung‐Yu Wu'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 Chung‐Yu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung‐Yu Wu more than expected).
Fields of papers citing papers by Chung‐Yu Wu
This network shows the impact of papers produced by Chung‐Yu Wu. 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 Chung‐Yu Wu. The network helps show where Chung‐Yu Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chung‐Yu Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 29 | |
| 6 | 2020 | 3 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 107 | |
| 9 | 2016 | 3 | |
| 10 | 2014 | 9 | |
| 11 | 2012 | 0 | |
| 12 | 2011 | 15 | |
| 13 | 2011 | 14 | |
| 14 | 2009 | 11 | |
| 15 | 2009 | 4 | |
| 16 | 2007 | 14 | |
| 17 | 2005 | 3 | |
| 18 | 2005 | 0 | |
| 19 | 1997 | 47 | |
| 20 | 1994 | 17 |
About Chung‐Yu Wu
Chung‐Yu Wu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 271 papers that have together received 3.1k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (73 papers), Neuroscience and Neural Engineering (57 papers), Radio Frequency Integrated Circuit Design (55 papers), CCD and CMOS Imaging Sensors (47 papers), Advanced Memory and Neural Computing (45 papers), Advancements in Semiconductor Devices and Circuit Design (41 papers), Semiconductor materials and devices (33 papers) and Electrostatic Discharge in Electronics (32 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.5k citations), Cellular and Molecular Neuroscience (509 citations) and Biomedical Engineering (964 citations). Chung‐Yu Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ming‐Dou Ker, Ming-Dou Ker, Hun-Hsien Chang, Chih-Cheng Hsieh, Tai‐Ping Sun, Hong‐Yi Huang, Wei‐Ming Chen, Chih‐Cheng Chen, May‐Kuen Wong and Bor‐Shyh Lin. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of The Electrochemical Society and Analytical Biochemistry.
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.