Hung‐Wei Tsai
Impact in
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- Advanced Memory and Neural Computing
- Chalcogenide Semiconductor Thin Films
- Ferroelectric and Negative Capacitance Devices
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- Quantum Dots Synthesis And Properties
- Copper-based nanomaterials and applications
- Advanced Thermoelectric Materials and Devices
Papers in
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- Chalcogenide Semiconductor Thin Films 8
- Advanced Memory and Neural Computing 2
- Ferroelectric and Negative Capacitance Devices 1
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- Quantum Dots Synthesis And Properties 6
- Copper-based nanomaterials and applications 4
- Advanced Thermoelectric Materials and Devices 2
- Co-authors
- Yu‐Lun Chueh (13 shared papers)Yi‐Chung Wang (7 shared papers)Yu‐Chuan Shih (2 shared papers)Jian‐Shiou Huang (2 shared papers)Zhiming M. Wang (4 shared papers)Chi‐Hsin Huang (1 shared paper)Shen‐Chuan Lo (1 shared paper)Chia‐Wei Chen (6 shared papers)
In The Last Decade
Hung‐Wei Tsai
14 papers receiving 382 citations
Peers
Comparison fields: 5 of 34
- Electrical and Electronic Engineering 304
- Materials Chemistry 218
- Polymers and Plastics 63
- Cellular and Molecular Neuroscience 63
- Renewable Energy, Sustainability and the Environment 35
Countries citing papers authored by Hung‐Wei Tsai
This map shows the geographic impact of Hung‐Wei Tsai'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 Hung‐Wei Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung‐Wei Tsai more than expected).
Fields of papers citing papers by Hung‐Wei Tsai
This network shows the impact of papers produced by Hung‐Wei Tsai. 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 Hung‐Wei Tsai. The network helps show where Hung‐Wei Tsai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung‐Wei Tsai, 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 | 2014 | 138 | |
| 2 | 2016 | 49 | |
| 3 | 2012 | 38 | |
| 4 | 2014 | 33 | |
| 5 | 2019 | 22 | |
| 6 | 2015 | 18 | |
| 7 | 2014 | 14 | |
| 8 | 2019 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2015 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2025 | 8 | |
| 14 | 2016 | 3 |
About Hung‐Wei Tsai
Hung‐Wei Tsai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 384 indexed citations. Recurring topics across this work include Chalcogenide Semiconductor Thin Films (8 papers), Quantum Dots Synthesis And Properties (6 papers), Copper-based nanomaterials and applications (4 papers), Transition Metal Oxide Nanomaterials (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced Thermoelectric Materials and Devices (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (304 citations), Materials Chemistry (218 citations), Polymers and Plastics (63 citations), Cellular and Molecular Neuroscience (63 citations) and Renewable Energy, Sustainability and the Environment (35 citations). Hung‐Wei Tsai has collaborated with scholars based in Taiwan, China and Germany. Frequent co-authors include Yu‐Lun Chueh, Yi‐Chung Wang, Yu‐Chuan Shih, Jian‐Shiou Huang, Zhiming M. Wang, Chi‐Hsin Huang, Shen‐Chuan Lo, Chia‐Wei Chen, Mu‐Tung Chang and Chih‐Chung Lai. Their work appears in journals such as Nanoscale, Journal of Materials Chemistry A, ACS Applied Materials & Interfaces, Advanced Science and ACS Nano.
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.