Ming-Hsiu Lee
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Chalcogenide Semiconductor Thin Films
- Semiconductor materials and devices
- Hardware and Architecture top 10%
Papers in
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- Advanced Memory and Neural Computing 30
- Ferroelectric and Negative Capacitance Devices 16
- Semiconductor materials and devices 13
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- Advanced Data Storage Technologies 10
- Co-authors
- Hsiang-Lan Lung (15 shared papers)Yu‐Yu Lin (16 shared papers)Erh-Kun Lai (8 shared papers)Yen-Hao Shih (2 shared papers)Keh-Chung Wang (18 shared papers)Yi‐Chou Chen (4 shared papers)Simone Raoux (2 shared papers)Chih‐Yuan Lu (18 shared papers)
- Journals
- Japanese Journal of Applied Physics (7 papers)IEEE Electron Device Letters (4 papers)IEEE Transactions on Electron Devices (4 papers)Journal of Polymer Research (1 paper)IEEE Journal of Solid-State Circuits (1 paper)
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Ming-Hsiu Lee
39 papers receiving 442 citations
Peers
Comparison fields: 5 of 45
- Electrical and Electronic Engineering 370
- Hardware and Architecture 39
- Polymers and Plastics 69
- Materials Chemistry 184
- Cellular and Molecular Neuroscience 38
Countries citing papers authored by Ming-Hsiu Lee
This map shows the geographic impact of Ming-Hsiu Lee'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 Ming-Hsiu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Hsiu Lee more than expected).
Fields of papers citing papers by Ming-Hsiu Lee
This network shows the impact of papers produced by Ming-Hsiu Lee. 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 Ming-Hsiu Lee. The network helps show where Ming-Hsiu Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Hsiu Lee, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 139 | |
| 2 | 2019 | 67 | |
| 3 | 2011 | 33 | |
| 4 | 2016 | 25 | |
| 5 | 2018 | 20 | |
| 6 | 2009 | 20 | |
| 7 | 2016 | 19 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 10 | |
| 10 | 2013 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2024 | 6 | |
| 13 | 2012 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2006 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2024 | 3 |
About Ming-Hsiu Lee
Ming-Hsiu Lee is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Materials Chemistry, Hardware and Architecture and Artificial Intelligence, having authored 47 papers that have together received 450 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (30 papers), Ferroelectric and Negative Capacitance Devices (16 papers), Semiconductor materials and devices (13 papers), Advanced Data Storage Technologies (10 papers), Transition Metal Oxide Nanomaterials (6 papers), Phase-change materials and chalcogenides (6 papers), Neuroscience and Neural Engineering (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (370 citations), Hardware and Architecture (39 citations), Polymers and Plastics (69 citations), Materials Chemistry (184 citations) and Cellular and Molecular Neuroscience (38 citations). Ming-Hsiu Lee has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Hsiang-Lan Lung, Yu‐Yu Lin, Erh-Kun Lai, Yen-Hao Shih, Keh-Chung Wang, Yi‐Chou Chen, Simone Raoux, Chih‐Yuan Lu, Martin Salinga and R. M. Shelby. Their work appears in journals such as Japanese Journal of Applied Physics, IEEE Electron Device Letters, IEEE Transactions on Electron Devices, Journal of Polymer Research and IEEE Journal of Solid-State Circuits.
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.