Stephanie E. Liu
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
Papers in
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- Advanced Memory and Neural Computing 9
- Ferroelectric and Negative Capacitance Devices 8
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- 2D Materials and Applications 5
- Co-authors
- Mark C. Hersam (13 shared papers)Vinod K. Sangwan (10 shared papers)Hong‐Sub Lee (2 shared papers)Amit Ranjan Trivedi (3 shared papers)Xiaodong Yan (7 shared papers)Jin‐Gyu Lee (1 shared paper)Hyung‐Kyu Lim (1 shared paper)Sung‐Eun Kim (1 shared paper)
- Journals
- Advanced Materials Technologies (2 papers)Journal of materials research/Pratt's guide to venture capital sources (2 papers)Applied Physics Letters (1 paper)Nature (1 paper)Nano Letters (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Stephanie E. Liu
14 papers receiving 303 citations
Peers
Comparison fields: 5 of 46
- Cellular and Molecular Neuroscience 78
- Electrical and Electronic Engineering 226
- Polymers and Plastics 37
- Materials Chemistry 98
- Artificial Intelligence 37
Countries citing papers authored by Stephanie E. Liu
This map shows the geographic impact of Stephanie E. Liu'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 Stephanie E. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie E. Liu more than expected).
Fields of papers citing papers by Stephanie E. Liu
This network shows the impact of papers produced by Stephanie E. Liu. 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 Stephanie E. Liu. The network helps show where Stephanie E. Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephanie E. Liu, 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 | 2023 | 69 | |
| 2 | 2021 | 66 | |
| 3 | 2021 | 63 | |
| 4 | 2023 | 25 | |
| 5 | 2022 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2023 | 11 | |
| 8 | 2024 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2024 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 |
About Stephanie E. Liu
Stephanie E. Liu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 14 papers that have together received 303 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (8 papers), 2D Materials and Applications (5 papers), Neural Networks and Reservoir Computing (2 papers), Neuroscience and Neural Engineering (1 paper), Nanowire Synthesis and Applications (1 paper), Fluorine in Organic Chemistry (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (78 citations), Electrical and Electronic Engineering (226 citations), Polymers and Plastics (37 citations), Materials Chemistry (98 citations) and Artificial Intelligence (37 citations). Stephanie E. Liu has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Mark C. Hersam, Vinod K. Sangwan, Hong‐Sub Lee, Amit Ranjan Trivedi, Xiaodong Yan, Jin‐Gyu Lee, Hyung‐Kyu Lim, Sung‐Eun Kim, Leo Ling and Jiangtan Yuan. Their work appears in journals such as Advanced Materials Technologies, Journal of materials research/Pratt's guide to venture capital sources, Applied Physics Letters, Nature and Nano Letters.
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.