Song Yuan
- Electrical and Electronic Engineering
- Condensed Matter Physics
- Industrial and Manufacturing Engineering top 10%
- Atomic and Molecular Physics, and Optics
- Electronic, Optical and Magnetic Materials
- Topics
- Silicon Carbide Semiconductor Technologies (27 papers)Semiconductor materials and devices (18 papers)Advancements in Semiconductor Devices and Circuit Design (16 papers)
- Cited by
- Electrical and Electronic EngineeringCondensed Matter PhysicsIndustrial and Manufacturing Engineering
In The Last Decade
Song Yuan
46 papers receiving 395 citations
Peers
Comparison fields: 5 of 59
- Electrical and Electronic Engineering 312
- Condensed Matter Physics 56
- Industrial and Manufacturing Engineering 46
- Atomic and Molecular Physics, and Optics 29
- Electronic, Optical and Magnetic Materials 27
Countries citing papers authored by Song Yuan
This map shows the geographic impact of Song Yuan'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 Song Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Yuan more than expected).
Fields of papers citing papers by Song Yuan
This network shows the impact of papers produced by Song Yuan. 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 Song Yuan. The network helps show where Song Yuan may publish in the future.
Co-authorship network of co-authors of Song Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Song Yuan. A scholar is included among the top collaborators of Song Yuan 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 Song Yuan. Song Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | High performance evolutionary optimization for batter of the water network II | 1 |
About Song Yuan
Song Yuan is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 55 papers that have together received 423 indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (27 papers), Semiconductor materials and devices (18 papers) and Advancements in Semiconductor Devices and Circuit Design (16 papers). The work is most often cited by research in Electrical and Electronic Engineering (312 citations), Condensed Matter Physics (56 citations) and Industrial and Manufacturing Engineering (46 citations). Song Yuan has collaborated with scholars based in China, Morocco and Hong Kong. Frequent co-authors include Baoxing Duan, Yintang Yang, Zhen Cao, Xin Chen, Kai Ding, Jiewu Leng, Qiang Liu, Yizhan Wang, Yingjie Cheng and Yingjin Wei. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Cleaner Production and Chemical Engineering Journal.
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.