Sangheon Oh
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
- CCD and CMOS Imaging Sensors
Papers in
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- Advanced Memory and Neural Computing 19
- Ferroelectric and Negative Capacitance Devices 11
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- Neural Networks and Reservoir Computing 7
- Machine Learning and ELM 3
- Co-authors
- Duygu Kuzum (13 shared papers)Yuhan Shi (13 shared papers)Xin Liu (4 shared papers)Iván K. Schuller (3 shared papers)Pavel Salev (2 shared papers)Javier del Valle (2 shared papers)John R. Jameson (1 shared paper)Yi‐Chen Lu (1 shared paper)
- Journals
- IEEE Electron Device Letters (3 papers)Nature Communications (2 papers)Advanced Materials (2 papers)IEEE Transactions on Electron Devices (2 papers)IEEE Transactions on Consumer Electronics (2 papers)
- Partner nations
- United StatesSouth KoreaSpain
In The Last Decade
Sangheon Oh
25 papers receiving 515 citations
Peers
Comparison fields: 5 of 48
- Cellular and Molecular Neuroscience 164
- Electrical and Electronic Engineering 466
- Polymers and Plastics 88
- Cognitive Neuroscience 85
- Artificial Intelligence 108
Countries citing papers authored by Sangheon Oh
This map shows the geographic impact of Sangheon Oh'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 Sangheon Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangheon Oh more than expected).
Fields of papers citing papers by Sangheon Oh
This network shows the impact of papers produced by Sangheon Oh. 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 Sangheon Oh. The network helps show where Sangheon Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sangheon Oh, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | 2018 | 90 | |
| 3 | 2024 | 66 | |
| 4 | 2019 | 42 | |
| 5 | 2018 | 37 | |
| 6 | 2024 | 33 | |
| 7 | 2020 | 30 | |
| 8 | 2019 | 28 | |
| 9 | 2021 | 14 | |
| 10 | 2019 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2005 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2006 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 2 |
About Sangheon Oh
Sangheon Oh is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 29 papers that have together received 521 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (19 papers), Ferroelectric and Negative Capacitance Devices (11 papers), Neural Networks and Reservoir Computing (7 papers), Speech and Audio Processing (4 papers), Machine Learning and ELM (3 papers), Music and Audio Processing (3 papers), Transition Metal Oxide Nanomaterials (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (164 citations), Electrical and Electronic Engineering (466 citations), Polymers and Plastics (88 citations), Cognitive Neuroscience (85 citations) and Artificial Intelligence (108 citations). Sangheon Oh has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Duygu Kuzum, Yuhan Shi, Xin Liu, Iván K. Schuller, Pavel Salev, Javier del Valle, John R. Jameson, Yi‐Chen Lu, Yoav Kalcheim and Foroozan Koushan. Their work appears in journals such as IEEE Electron Device Letters, Nature Communications, Advanced Materials, IEEE Transactions on Electron Devices and IEEE Transactions on Consumer Electronics.
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.