Jui-Jen Wu
Impact in
- Hardware and Architecture top 10%
- VLSI and Analog Circuit Testing
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- Advanced Memory and Neural Computing
- Semiconductor materials and devices
- Low-power high-performance VLSI design
- Ferroelectric and Negative Capacitance Devices
- Advancements in Semiconductor Devices and Circuit Design
- VLSI and FPGA Design Techniques
Papers in
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- Semiconductor materials and devices 15
- Advanced Memory and Neural Computing 11
- Ferroelectric and Negative Capacitance Devices 8
- Advancements in Semiconductor Devices and Circuit Design 8
- Low-power high-performance VLSI design 6
- Thin-Film Transistor Technologies 1
Jui-Jen Wu
19 papers receiving 414 citations
Peers
Comparison fields: 5 of 21
- Hardware and Architecture 77
- Electrical and Electronic Engineering 416
- Cellular and Molecular Neuroscience 18
- Computer Vision and Pattern Recognition 16
- Artificial Intelligence 24
Countries citing papers authored by Jui-Jen Wu
This map shows the geographic impact of Jui-Jen 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 Jui-Jen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui-Jen Wu more than expected).
Fields of papers citing papers by Jui-Jen Wu
This network shows the impact of papers produced by Jui-Jen 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 Jui-Jen Wu. The network helps show where Jui-Jen Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jui-Jen 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 18 | |
| 7 | 2023 | 10 | |
| 8 | 2015 | 22 | |
| 9 | 2015 | 13 | |
| 10 | 2014 | 121 | |
| 11 | 2014 | 19 | |
| 12 | Area-efficient embedded RRAM macros with sub-5ns random-read-access-time using logic-process parasitic-BJT-switch (0T1R) cell and read-disturb-free temperature-aware current-mode read scheme | 2013 | 2 |
| 13 | 2013 | 46 | |
| 14 | 2013 | 1 | |
| 15 | 2012 | 2 | |
| 16 | 2012 | 13 | |
| 17 | 2011 | 65 | |
| 18 | 2010 | 57 | |
| 19 | 2010 | 25 | |
| 20 | A differential data aware power-supplied (D 2 AP) 8T SRAM cell with expanded write/read stabilities for lower VDDmin applications | 2009 | 8 |
About Jui-Jen Wu
Jui-Jen Wu is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 428 indexed citations. Recurring topics across this work include Semiconductor materials and devices (15 papers), Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers), Low-power high-performance VLSI design (6 papers), Neural Networks and Reservoir Computing (3 papers), Analog and Mixed-Signal Circuit Design (2 papers) and Thin-Film Transistor Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (77 citations), Electrical and Electronic Engineering (416 citations), Cellular and Molecular Neuroscience (18 citations), Computer Vision and Pattern Recognition (16 citations) and Artificial Intelligence (24 citations). Jui-Jen Wu has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Meng‐Fan Chang, H. Yamauchi, Hung-Jen Liao, Yu-Der Chih, Yen‐Chen Liu, Ya‐Chin King, Yuan‐Hua Chu, Jonathan Chang, Chorng-Jung Lin and Ku-Feng Lin. Their work appears in journals such as IEEE Journal of Solid-State Circuits and IEEE Transactions on Circuits & Systems II Express Briefs.
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.