Wei-Su Chen
Impact in
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- Advanced Memory and Neural Computing
- Semiconductor materials and devices
- Ferroelectric and Negative Capacitance Devices
- Advancements in Photolithography Techniques
- Advancements in Semiconductor Devices and Circuit Design
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- Physical Unclonable Functions (PUFs) and Hardware Security
Papers in
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- Advanced Memory and Neural Computing 27
- Advancements in Photolithography Techniques 7
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- Phase-change materials and chalcogenides 5
- Co-authors
- Ming‐Jinn Tsai (34 shared papers)Heng-Yuan Lee (25 shared papers)Frederick T. Chen (25 shared papers)Pang-Shiu Chen (15 shared papers)Yu-Sheng Chen (14 shared papers)Sheikh Ziaur Rahaman (11 shared papers)Siddheswar Maikap (8 shared papers)Pei-Yi Gu (14 shared papers)
In The Last Decade
Wei-Su Chen
36 papers receiving 643 citations
Peers
Comparison fields: 5 of 19
- Electrical and Electronic Engineering 592
- Hardware and Architecture 18
- Materials Chemistry 42
- Surfaces, Coatings and Films 5
- Renewable Energy, Sustainability and the Environment 11
Countries citing papers authored by Wei-Su Chen
This map shows the geographic impact of Wei-Su Chen'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 Wei-Su Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Su Chen more than expected).
Fields of papers citing papers by Wei-Su Chen
This network shows the impact of papers produced by Wei-Su Chen. 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 Wei-Su Chen. The network helps show where Wei-Su Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-Su Chen, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 79 | |
| 2 | 2017 | 59 | |
| 3 | 2011 | 55 | |
| 4 | 2012 | 52 | |
| 5 | 2014 | 52 | |
| 6 | 2011 | 32 | |
| 7 | 2011 | 30 | |
| 8 | 2012 | 30 | |
| 9 | 2011 | 28 | |
| 10 | 2017 | 25 | |
| 11 | 2017 | 23 | |
| 12 | 2013 | 22 | |
| 13 | 2007 | 18 | |
| 14 | 2010 | 18 | |
| 15 | 2011 | 16 | |
| 16 | 2010 | 14 | |
| 17 | 2012 | 12 | |
| 18 | 2009 | 11 | |
| 19 | 2011 | 10 | |
| 20 | 2013 | 10 |
About Wei-Su Chen
Wei-Su Chen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 39 papers that have together received 649 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Advancements in Photolithography Techniques (7 papers), Phase-change materials and chalcogenides (5 papers) and Semiconductor materials and interfaces (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (592 citations), Hardware and Architecture (18 citations), Materials Chemistry (42 citations), Surfaces, Coatings and Films (5 citations) and Renewable Energy, Sustainability and the Environment (11 citations). Wei-Su Chen has collaborated with scholars based in Taiwan, China and India. Frequent co-authors include Ming‐Jinn Tsai, Heng-Yuan Lee, Frederick T. Chen, Pang-Shiu Chen, Yu-Sheng Chen, Sheikh Ziaur Rahaman, Siddheswar Maikap, Pei-Yi Gu, Ta–Chang Tien and Ming‐Jer Kao. Their work appears in journals such as Japanese Journal of Applied Physics, Nanoscale Research Letters, IEEE Electron Device Letters, Current Applied Physics and Science China Information Sciences.
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.