Seunghwan Seo
- Electrical and Electronic Engineering top 2%
- Cellular and Molecular Neuroscience top 2%
- Materials Chemistry top 10%
- Polymers and Plastics top 5%
- Artificial Intelligence top 5%
- Co-authors
- Jin‐Hong ParkSeyong OhKeun HeoJaewoo ShimSaeroonter OhJe‐Jun LeeSungho KimH.‐S. Philip Wong
- Topics
- Advanced Memory and Neural Computing (24 papers)Ferroelectric and Negative Capacitance Devices (9 papers)Neuroscience and Neural Engineering (7 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Seunghwan Seo
29 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Electrical and Electronic Engineering 2.0k
- Cellular and Molecular Neuroscience 775
- Materials Chemistry 615
- Polymers and Plastics 442
- Artificial Intelligence 402
Countries citing papers authored by Seunghwan Seo
This map shows the geographic impact of Seunghwan Seo'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 Seunghwan Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seunghwan Seo more than expected).
Fields of papers citing papers by Seunghwan Seo
This network shows the impact of papers produced by Seunghwan Seo. 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 Seunghwan Seo. The network helps show where Seunghwan Seo may publish in the future.
Co-authorship network of co-authors of Seunghwan Seo
This figure shows the co-authorship network connecting the top 25 collaborators of Seunghwan Seo. A scholar is included among the top collaborators of Seunghwan Seo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seunghwan Seo. Seunghwan Seo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | The future of two-dimensional semiconductors beyond Moore’s lawbreakdown → | 140 |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 44 | |
| 8 | 23 | |
| 9 | 110 | |
| 10 | 76 | |
| 11 | 41 | |
| 12 | 134 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 182 | |
| 16 | 45 | |
| 17 | Artificial optic-neural synapse for colored and color-mixed pattern recognitionbreakdown → | 613 |
| 18 | Optoelectronic Synapse Based on IGZO‐Alkylated Graphene Oxide Hybrid Structurebreakdown → | 344 |
| 19 | 1 | |
| 20 | 2 |
About Seunghwan Seo
Seunghwan Seo is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Polymers and Plastics, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (24 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (775 citations), Electrical and Electronic Engineering (2.0k citations) and Polymers and Plastics (442 citations). Seunghwan Seo has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jin‐Hong Park, Seyong Oh, Keun Heo, Jaewoo Shim, Saeroonter Oh, Je‐Jun Lee, Sungho Kim, H.‐S. Philip Wong, Duygu Kuzum and Changhwan Choi. Their work appears in journals such as Advanced Materials, Nature Communications and ACS Nano.
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.