Yi Shuang
Impact in
- Nuclear Energy and Engineering top 10%
-
- Supercapacitor Materials and Fabrication
- Electromagnetic wave absorption materials
Papers in
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- Phase-change materials and chalcogenides 24
- 2D Materials and Applications 4
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- Chalcogenide Semiconductor Thin Films 16
- Advanced Memory and Neural Computing 6
- Co-authors
- Yuji Sutou (29 shared papers)Shogo Hatayama (22 shared papers)Jinsong Rao (9 shared papers)Yuxin Zhang (9 shared papers)Daisuke Ando (19 shared papers)Xingjian Dai (5 shared papers)Changqing Yin (3 shared papers)Yuta Saito (16 shared papers)
In The Last Decade
Yi Shuang
36 papers receiving 707 citations
Peers
Comparison fields: 5 of 54
- Nuclear Energy and Engineering 7
- Electronic, Optical and Magnetic Materials 268
- Materials Chemistry 457
- Polymers and Plastics 123
- Electrical and Electronic Engineering 360
Countries citing papers authored by Yi Shuang
This map shows the geographic impact of Yi Shuang'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 Yi Shuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Shuang more than expected).
Fields of papers citing papers by Yi Shuang
This network shows the impact of papers produced by Yi Shuang. 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 Yi Shuang. The network helps show where Yi Shuang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Shuang, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 112 | |
| 2 | 2020 | 55 | |
| 3 | 2021 | 52 | |
| 4 | 2022 | 49 | |
| 5 | 2022 | 42 | |
| 6 | 2021 | 38 | |
| 7 | 2021 | 37 | |
| 8 | 2023 | 33 | |
| 9 | 2019 | 31 | |
| 10 | 2018 | 30 | |
| 11 | 2023 | 25 | |
| 12 | 2023 | 24 | |
| 13 | 2019 | 22 | |
| 14 | 2022 | 20 | |
| 15 | 2021 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2020 | 14 | |
| 18 | 2023 | 12 | |
| 19 | 2019 | 9 | |
| 20 | 2020 | 8 |
About Yi Shuang
Yi Shuang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Polymers and Plastics and Aerospace Engineering, having authored 41 papers that have together received 713 indexed citations. Recurring topics across this work include Phase-change materials and chalcogenides (24 papers), Chalcogenide Semiconductor Thin Films (16 papers), Transition Metal Oxide Nanomaterials (11 papers), Electromagnetic wave absorption materials (6 papers), Advanced Memory and Neural Computing (6 papers), Advanced Antenna and Metasurface Technologies (5 papers), Metamaterials and Metasurfaces Applications (5 papers) and 2D Materials and Applications (4 papers). The work is most often cited by research in Nuclear Energy and Engineering (7 citations), Electronic, Optical and Magnetic Materials (268 citations), Materials Chemistry (457 citations), Polymers and Plastics (123 citations) and Electrical and Electronic Engineering (360 citations). Yi Shuang has collaborated with scholars based in Japan, China and Russia. Frequent co-authors include Yuji Sutou, Shogo Hatayama, Jinsong Rao, Yuxin Zhang, Daisuke Ando, Xingjian Dai, Changqing Yin, Yuta Saito, Paul Fons and Kailin Li. Their work appears in journals such as physica status solidi (RRL) - Rapid Research Letters, ACS Applied Nano Materials, Applied Physics Letters, Applied Surface Science and International Journal of Molecular Sciences.
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.