Meng Song
Impact in
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism
-
- HVDC Systems and Fault Protection
- Frequency Control in Power Systems
- High-Voltage Power Transmission Systems
Papers in
-
- Physics of Superconductivity and Magnetism 40
- Journals
- IEEE Transactions on Applied Superconductivity (38 papers)Physica C Superconductivity (7 papers)Superconductor Science and Technology (4 papers)IEEE Transactions on Dielectrics and Electrical Insulation (3 papers)IET Power Electronics (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Meng Song
94 papers receiving 731 citations
Peers
Comparison fields: 5 of 83
- Condensed Matter Physics 223
- Electrical and Electronic Engineering 504
- Control and Systems Engineering 184
- Energy Engineering and Power Technology 17
- Biomedical Engineering 197
Countries citing papers authored by Meng Song
This map shows the geographic impact of Meng 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 Meng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Song more than expected).
Fields of papers citing papers by Meng Song
This network shows the impact of papers produced by Meng 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 Meng Song. The network helps show where Meng Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 80 | |
| 14 | 2020 | 14 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 5 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 14 | |
| 19 | Theoretical analysis and experiment research of high temperature superconducting air-core transformer | 2008 | 5 |
| 20 | Operational characteristics of three-phase active superconducting fault current limiter in power system | 2008 | 1 |
About Meng Song
Meng Song is a scholar working on Condensed Matter Physics, Energy Engineering and Power Technology, Electrical and Electronic Engineering, Control and Systems Engineering and Biomedical Engineering, having authored 108 papers that have together received 763 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (40 papers), HVDC Systems and Fault Protection (38 papers), Superconducting Materials and Applications (29 papers), Frequency Control in Power Systems (27 papers), High-Voltage Power Transmission Systems (23 papers), Microgrid Control and Optimization (8 papers), Power Systems Fault Detection (8 papers) and Magnetic Bearings and Levitation Dynamics (6 papers). The work is most often cited by research in Condensed Matter Physics (223 citations), Electrical and Electronic Engineering (504 citations), Control and Systems Engineering (184 citations), Energy Engineering and Power Technology (17 citations) and Biomedical Engineering (197 citations). Meng Song has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Li Ren, Jing Shi, Tao Ma, Yuejin Tang, Nannan Hu, Zhuyong Li, Lei Chen, Zhijian Jin, Zhiyong Hong and Shaotao Dai. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Physica C Superconductivity, Superconductor Science and Technology, IEEE Transactions on Dielectrics and Electrical Insulation and IET Power Electronics.
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.