Seonggil Ham
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Advanced Memory and Neural Computing 6
- Ferroelectric and Negative Capacitance Devices 4
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- Conducting polymers and applications 2
- Transition Metal Oxide Nanomaterials 1
- Co-authors
- Gunuk Wang (7 shared papers)Sanghyeon Choi (6 shared papers)Haein Cho (2 shared papers)Seok‐In Na (1 shared paper)Seonghoon Jang (5 shared papers)Jingon Jang (4 shared papers)Tae‐Wook Kim (1 shared paper)Minji Kang (1 shared paper)
- Journals
- Nano Energy (2 papers)Advanced Functional Materials (2 papers)Advanced Science (1 paper)Journal of Alloys and Compounds (1 paper)Science Advances (1 paper)
- Partner nations
- South KoreaJapan
In The Last Decade
Seonggil Ham
7 papers receiving 467 citations
Peers
Comparison fields: 5 of 29
- Polymers and Plastics 169
- Cellular and Molecular Neuroscience 195
- Electrical and Electronic Engineering 440
- Artificial Intelligence 77
- Cognitive Neuroscience 42
Countries citing papers authored by Seonggil Ham
This map shows the geographic impact of Seonggil Ham'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 Seonggil Ham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seonggil Ham more than expected).
Fields of papers citing papers by Seonggil Ham
This network shows the impact of papers produced by Seonggil Ham. 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 Seonggil Ham. The network helps show where Seonggil Ham may publish in the future.
Co-authors
The 20 scholars most cited alongside Seonggil Ham, 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 | 209 | |
| 2 | 2020 | 147 | |
| 3 | 2022 | 54 | |
| 4 | 2021 | 45 | |
| 5 | 2024 | 11 | |
| 6 | 2019 | 5 | |
| 7 | 2023 | 4 |
About Seonggil Ham
Seonggil Ham is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Cellular and Molecular Neuroscience, Biomedical Engineering and Organic Chemistry, having authored 7 papers that have together received 475 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Conducting polymers and applications (2 papers), Neuroscience and Neural Engineering (1 paper), Polydiacetylene-based materials and applications (1 paper), Neural Networks and Reservoir Computing (1 paper) and Transition Metal Oxide Nanomaterials (1 paper). The work is most often cited by research in Polymers and Plastics (169 citations), Cellular and Molecular Neuroscience (195 citations), Electrical and Electronic Engineering (440 citations), Artificial Intelligence (77 citations) and Cognitive Neuroscience (42 citations). Seonggil Ham has collaborated with scholars based in South Korea and Japan. Frequent co-authors include Gunuk Wang, Sanghyeon Choi, Haein Cho, Seok‐In Na, Seonghoon Jang, Jingon Jang, Tae‐Wook Kim, Minji Kang, Byung‐Geun Lee and Injune Yeo. Their work appears in journals such as Nano Energy, Advanced Functional Materials, Advanced Science, Journal of Alloys and Compounds and Science Advances.
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.