Yu‐Hsuan Lin
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- Advanced Memory and Neural Computing 26
- Ferroelectric and Negative Capacitance Devices 19
- Silicon and Solar Cell Technologies 7
- Thin-Film Transistor Technologies 6
- Semiconductor materials and devices 5
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- Neuroscience and Neural Engineering 4
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- Advanced Data Storage Technologies 5
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- Gold and Silver Nanoparticles Synthesis and Applications 4
- Co-authors
- Masaaki YoshidaChechia HuElia AmbrosiErika CoviDaniele IelminiWei WangTseung‐Yuen TsengTzong‐Lin Wu
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeuroscienceRenewable Energy, Sustainability and the Environment
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Journal of Applied Physics (1 paper)
- Partner nations
- TaiwanUnited StatesItaly
In The Last Decade
Yu‐Hsuan Lin
62 papers receiving 820 citations
Peers
Comparison fields: 5 of 77
- Electrical and Electronic Engineering 573
- Cellular and Molecular Neuroscience 154
- Renewable Energy, Sustainability and the Environment 131
- Polymers and Plastics 65
- Materials Chemistry 215
Countries citing papers authored by Yu‐Hsuan Lin
This map shows the geographic impact of Yu‐Hsuan 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 Yu‐Hsuan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Hsuan Lin more than expected).
Fields of papers citing papers by Yu‐Hsuan Lin
This network shows the impact of papers produced by Yu‐Hsuan 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 Yu‐Hsuan Lin. The network helps show where Yu‐Hsuan Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu‐Hsuan 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 8 | |
| 13 | A Hybrid In-Memory-Searching and In-Memory-Computing Architecture for NVM Based AI Accelerator | 2021 | 3 |
| 14 | 2021 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2018 | 24 | |
| 18 | 2017 | 6 | |
| 19 | 2014 | 39 | |
| 20 | 2013 | 1 |
About Yu‐Hsuan Lin
Yu‐Hsuan Lin is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Polymers and Plastics, having authored 71 papers that have together received 841 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (19 papers), Silicon and Solar Cell Technologies (7 papers), Thin-Film Transistor Technologies (6 papers), Advanced Data Storage Technologies (5 papers), Semiconductor materials and devices (5 papers), Neuroscience and Neural Engineering (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (573 citations), Cellular and Molecular Neuroscience (154 citations) and Renewable Energy, Sustainability and the Environment (131 citations). Yu‐Hsuan Lin has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Masaaki Yoshida, Chechia Hu, Elia Ambrosi, Erika Covi, Daniele Ielmini, Wei Wang, Tseung‐Yuen Tseng, Tzong‐Lin Wu, Jeongwoon Hwang and Alessandro Bricalli. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.
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.