Sunghun Song
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
- Transition Metal Oxide Nanomaterials
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Organic Electronics and Photovoltaics
- Perovskite Materials and Applications
- Semiconductor materials and devices
Papers in
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- Advanced Memory and Neural Computing 2
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- Transition Metal Oxide Nanomaterials 1
- Co-authors
- Byungjin Cho (2 shared papers)Yongsung Ji (2 shared papers)Takhee Lee (1 shared paper)Tae‐Wook Kim (1 shared paper)Minsuk Kim (1 shared paper)Ang Xiao (2 shared papers)Chen Xu (1 shared paper)
- Journals
- Advanced Functional Materials (2 papers)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)SID Symposium Digest of Technical Papers (2 papers)
- Partner nations
- ChinaSouth KoreaNorway
In The Last Decade
Sunghun Song
5 papers receiving 444 citations
Sunghun Song's Hit Papers
Peers
Comparison fields: 5 of 33
- Polymers and Plastics 208
- Electrical and Electronic Engineering 404
- Cellular and Molecular Neuroscience 99
- Bioengineering 15
- Materials Chemistry 103
Countries citing papers authored by Sunghun Song
This map shows the geographic impact of Sunghun Song'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 Sunghun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghun Song more than expected).
Fields of papers citing papers by Sunghun Song
This network shows the impact of papers produced by Sunghun Song. 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 Sunghun Song. The network helps show where Sunghun Song may publish in the future.
Co-authors
The 9 scholars most cited alongside Sunghun Song, 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 | Organic Resistive Memory Devices: Performance Enhancement, Integration, and Advanced Architectures Hit paper breakdown → | 2011 | 434 |
| 2 | 2018 | 5 | |
| 3 | 2014 | 4 | |
| 4 | 2013 | 2 | |
| 5 | 2011 | 1 |
About Sunghun Song
Sunghun Song is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Bioengineering, Organic Chemistry and Automotive Engineering, having authored 5 papers that have together received 446 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (2 papers), Analytical Chemistry and Sensors (2 papers), Color Science and Applications (1 paper), Aerodynamics and Fluid Dynamics Research (1 paper), Additive Manufacturing and 3D Printing Technologies (1 paper), Interactive and Immersive Displays (1 paper), Transition Metal Oxide Nanomaterials (1 paper) and Advanced optical system design (1 paper). The work is most often cited by research in Polymers and Plastics (208 citations), Electrical and Electronic Engineering (404 citations), Cellular and Molecular Neuroscience (99 citations), Bioengineering (15 citations) and Materials Chemistry (103 citations). Sunghun Song has collaborated with scholars based in China, South Korea and Norway. Frequent co-authors include Byungjin Cho, Yongsung Ji, Takhee Lee, Tae‐Wook Kim, Minsuk Kim, Ang Xiao, Tae‐Wook Kim, Takhee Lee and Chen Xu. Their work appears in journals such as Advanced Functional Materials, SAE technical papers on CD-ROM/SAE technical paper series and SID Symposium Digest of Technical Papers.
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.