Che-Wei Wu
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
- Low-power high-performance VLSI design
- Energy Harvesting in Wireless Networks
- Hardware and Architecture top 10%
Papers in
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- Advanced Memory and Neural Computing 9
- Ferroelectric and Negative Capacitance Devices 7
- Semiconductor materials and devices 7
- Energy Harvesting in Wireless Networks 1
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- Innovative Energy Harvesting Technologies 2
- Co-authors
- Meng‐Fan Chang (9 shared papers)Shyh-Shyuan Sheu (4 shared papers)Pi-Feng Chiu (3 shared papers)Ming‐Jinn Tsai (3 shared papers)Ya‐Chin King (5 shared papers)Yu-Der Chih (4 shared papers)Chorng-Jung Lin (4 shared papers)Ku-Feng Lin (4 shared papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Che-Wei Wu
9 papers receiving 431 citations
Peers
Comparison fields: 5 of 24
- Electrical and Electronic Engineering 428
- Hardware and Architecture 40
- Cellular and Molecular Neuroscience 65
- Computer Networks and Communications 34
- Atomic and Molecular Physics, and Optics 39
Countries citing papers authored by Che-Wei Wu
This map shows the geographic impact of Che-Wei 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 Che-Wei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che-Wei Wu more than expected).
Fields of papers citing papers by Che-Wei Wu
This network shows the impact of papers produced by Che-Wei 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 Che-Wei Wu. The network helps show where Che-Wei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Che-Wei 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 | 2012 | 117 | |
| 2 | 2013 | 81 | |
| 3 | 2013 | 78 | |
| 4 | 2012 | 70 | |
| 5 | 2010 | 35 | |
| 6 | 2011 | 29 | |
| 7 | 2013 | 25 | |
| 8 | 2014 | 6 | |
| 9 | 2016 | 1 |
About Che-Wei Wu
Che-Wei Wu is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Biomedical Engineering, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Semiconductor materials and devices (7 papers), Innovative Energy Harvesting Technologies (2 papers), Analog and Mixed-Signal Circuit Design (1 paper) and Energy Harvesting in Wireless Networks (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (428 citations), Hardware and Architecture (40 citations), Cellular and Molecular Neuroscience (65 citations), Computer Networks and Communications (34 citations) and Atomic and Molecular Physics, and Optics (39 citations). Che-Wei Wu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Meng‐Fan Chang, Shyh-Shyuan Sheu, Pi-Feng Chiu, Ming‐Jinn Tsai, Ya‐Chin King, Yu-Der Chih, Chorng-Jung Lin, Ku-Feng Lin, Yu‐Sheng Chen and Chia‐Chi Liu. Their work appears in journals such as 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.