Feng‐Shou Yang
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Perovskite Materials and Applications
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
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- Advanced Memory and Neural Computing 10
- Perovskite Materials and Applications 3
- Semiconductor materials and devices 3
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- 2D Materials and Applications 8
- MXene and MAX Phase Materials 5
- Graphene research and applications 4
- Co-authors
- Yen‐Fu Lin (18 shared papers)Mengjiao Li (17 shared papers)Ching‐Hwa Ho (11 shared papers)Chenhsin Lien (12 shared papers)Shih‐Hsien Yang (8 shared papers)Che‐Yi Lin (11 shared papers)Yuan‐Ming Chang (6 shared papers)Wenwu Li (7 shared papers)
In The Last Decade
Feng‐Shou Yang
18 papers receiving 774 citations
Peers
Comparison fields: 5 of 36
- Electrical and Electronic Engineering 606
- Polymers and Plastics 134
- Materials Chemistry 386
- Cellular and Molecular Neuroscience 134
- Biomedical Engineering 174
Countries citing papers authored by Feng‐Shou Yang
This map shows the geographic impact of Feng‐Shou Yang'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 Feng‐Shou Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng‐Shou Yang more than expected).
Fields of papers citing papers by Feng‐Shou Yang
This network shows the impact of papers produced by Feng‐Shou Yang. 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 Feng‐Shou Yang. The network helps show where Feng‐Shou Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng‐Shou Yang, 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 | 2020 | 145 | |
| 2 | 2018 | 134 | |
| 3 | 2023 | 85 | |
| 4 | 2022 | 83 | |
| 5 | 2023 | 83 | |
| 6 | 2019 | 46 | |
| 7 | 2019 | 43 | |
| 8 | 2020 | 40 | |
| 9 | 2019 | 34 | |
| 10 | 2019 | 31 | |
| 11 | 2020 | 19 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2026 | 1 | |
| 19 | 2025 | 0 |
About Feng‐Shou Yang
Feng‐Shou Yang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Polymers and Plastics and Biomedical Engineering, having authored 19 papers that have together received 782 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), 2D Materials and Applications (8 papers), MXene and MAX Phase Materials (5 papers), Photoreceptor and optogenetics research (5 papers), Neuroscience and Neural Engineering (4 papers), Graphene research and applications (4 papers), Perovskite Materials and Applications (3 papers) and Semiconductor materials and devices (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (606 citations), Polymers and Plastics (134 citations), Materials Chemistry (386 citations), Cellular and Molecular Neuroscience (134 citations) and Biomedical Engineering (174 citations). Feng‐Shou Yang has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Yen‐Fu Lin, Mengjiao Li, Ching‐Hwa Ho, Chenhsin Lien, Shih‐Hsien Yang, Che‐Yi Lin, Yuan‐Ming Chang, Wenwu Li, Ko‐Chun Lee and Jiann‐Yeu Chen. Their work appears in journals such as Nature Communications, Advanced Functional Materials, Nature Electronics, Advanced Materials and ACS Applied Materials & Interfaces.
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.