Che‐Yi Lin
Impact in
- Materials Chemistry top 10%
- 2D Materials and Applications
- MXene and MAX Phase Materials
- Graphene research and applications
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- Advanced Memory and Neural Computing
- Perovskite Materials and Applications
- Ferroelectric and Negative Capacitance Devices
- Chalcogenide Semiconductor Thin Films
Papers in
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- Advanced Memory and Neural Computing 7
- Ferroelectric and Negative Capacitance Devices 3
- Perovskite Materials and Applications 2
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- 2D Materials and Applications 12
- Graphene research and applications 8
- MXene and MAX Phase Materials 8
- Co-authors
- Yen‐Fu Lin (18 shared papers)Shih‐Hsien Yang (13 shared papers)Chenhsin Lien (12 shared papers)Yuan‐Ming Chang (11 shared papers)Mengjiao Li (13 shared papers)Feng‐Shou Yang (11 shared papers)Ching‐Hwa Ho (7 shared papers)Wenwu Li (8 shared papers)
In The Last Decade
Che‐Yi Lin
19 papers receiving 658 citations
Peers
Comparison fields: 5 of 27
- Materials Chemistry 436
- Electrical and Electronic Engineering 493
- Cellular and Molecular Neuroscience 80
- Polymers and Plastics 53
- Biomedical Engineering 114
Countries citing papers authored by Che‐Yi Lin
This map shows the geographic impact of Che‐Yi Lin'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‐Yi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che‐Yi Lin more than expected).
Fields of papers citing papers by Che‐Yi Lin
This network shows the impact of papers produced by Che‐Yi Lin. 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‐Yi Lin. The network helps show where Che‐Yi Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Che‐Yi Lin, 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 | 2018 | 134 | |
| 2 | 2023 | 85 | |
| 3 | 2018 | 79 | |
| 4 | 2015 | 71 | |
| 5 | 2019 | 46 | |
| 6 | 2019 | 43 | |
| 7 | 2020 | 40 | |
| 8 | 2019 | 34 | |
| 9 | 2021 | 28 | |
| 10 | 2018 | 21 | |
| 11 | 2018 | 21 | |
| 12 | 2020 | 19 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2019 | 1 | |
| 20 | 2013 | 0 |
About Che‐Yi Lin
Che‐Yi Lin is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 20 papers that have together received 660 indexed citations. Recurring topics across this work include 2D Materials and Applications (12 papers), Graphene research and applications (8 papers), MXene and MAX Phase Materials (8 papers), Advanced Memory and Neural Computing (7 papers), Neuroscience and Neural Engineering (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Perovskite Materials and Applications (2 papers). The work is most often cited by research in Materials Chemistry (436 citations), Electrical and Electronic Engineering (493 citations), Cellular and Molecular Neuroscience (80 citations), Polymers and Plastics (53 citations) and Biomedical Engineering (114 citations). Che‐Yi Lin has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Yen‐Fu Lin, Shih‐Hsien Yang, Chenhsin Lien, Yuan‐Ming Chang, Mengjiao Li, Feng‐Shou Yang, Ching‐Hwa Ho, Wenwu Li, Keiji Ueno and Takashi Taniguchi. Their work appears in journals such as Advanced Materials, Advanced Functional Materials, Nano Energy, Matter and Scientific Reports.
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.