Sijung Yoo
- Electrical and Electronic Engineering top 5%
- Materials Chemistry top 10%
- Cellular and Molecular Neuroscience top 10%
- Polymers and Plastics top 10%
- Electronic, Optical and Magnetic Materials
- Co-authors
- Cheol Seong HwangTaehong GwonTaeyong EomKyung Jean YoonJung Ho YoonDae Eun KwonTae Hyung ParkYoung Jae Kwon
- Topics
- Advanced Memory and Neural Computing (15 papers)Phase-change materials and chalcogenides (12 papers)Ferroelectric and Negative Capacitance Devices (11 papers)
- Cited by
- Electrical and Electronic EngineeringPolymers and PlasticsCellular and Molecular Neuroscience
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Sijung Yoo
31 papers receiving 911 citations
Peers
Comparison fields: 5 of 38
- Electrical and Electronic Engineering 832
- Materials Chemistry 406
- Cellular and Molecular Neuroscience 231
- Polymers and Plastics 186
- Electronic, Optical and Magnetic Materials 84
Countries citing papers authored by Sijung Yoo
This map shows the geographic impact of Sijung Yoo'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 Sijung Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sijung Yoo more than expected).
Fields of papers citing papers by Sijung Yoo
This network shows the impact of papers produced by Sijung Yoo. 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 Sijung Yoo. The network helps show where Sijung Yoo may publish in the future.
Co-authorship network of co-authors of Sijung Yoo
This figure shows the co-authorship network connecting the top 25 collaborators of Sijung Yoo. A scholar is included among the top collaborators of Sijung Yoo 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 Sijung Yoo. Sijung Yoo 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 | 11 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | 77 | |
| 8 | 24 | |
| 9 | 40 | |
| 10 | 183 | |
| 11 | 10 | |
| 12 | 23 | |
| 13 | 46 | |
| 14 | 79 | |
| 15 | 12 | |
| 16 | 24 | |
| 17 | 11 | |
| 18 | 1 | |
| 19 | 21 | |
| 20 | 14 |
About Sijung Yoo
Sijung Yoo is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 31 papers that have together received 937 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), Phase-change materials and chalcogenides (12 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). The work is most often cited by research in Electrical and Electronic Engineering (832 citations), Polymers and Plastics (186 citations) and Cellular and Molecular Neuroscience (231 citations). Sijung Yoo has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Cheol Seong Hwang, Taehong Gwon, Taeyong Eom, Kyung Jean Yoon, Jung Ho Yoon, Dae Eun Kwon, Tae Hyung Park, Young Jae Kwon, Hae Jin Kim and Yumin Kim. Their work appears in journals such as Advanced Materials, Nature Communications and Applied Physics 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.