Xiaohui Song
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Safety, Risk, Reliability and Quality top 10%
- Automotive Engineering
- Computer Networks and Communications
- Topics
- Optimal Power Flow Distribution (15 papers)Microgrid Control and Optimization (13 papers)Power Systems Fault Detection (13 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Journals
- SHILAP Revista de lepidopterologíaJournal of Colloid and Interface ScienceIEEE Access
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiaohui Song
54 papers receiving 366 citations
Peers
Comparison fields: 5 of 63
- Electrical and Electronic Engineering 303
- Control and Systems Engineering 224
- Safety, Risk, Reliability and Quality 32
- Automotive Engineering 21
- Computer Networks and Communications 15
Countries citing papers authored by Xiaohui Song
This map shows the geographic impact of Xiaohui 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 Xiaohui Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Song more than expected).
Fields of papers citing papers by Xiaohui Song
This network shows the impact of papers produced by Xiaohui 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 Xiaohui Song. The network helps show where Xiaohui Song may publish in the future.
Co-authorship network of co-authors of Xiaohui Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Song. A scholar is included among the top collaborators of Xiaohui Song 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 Xiaohui Song. Xiaohui Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 20 | |
| 13 | 0 | |
| 14 | 57 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | Technology Framework of Self-Healing Control in Smart Distribution Grid | 3 |
| 20 | 3 |
About Xiaohui Song
Xiaohui Song is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 67 papers that have together received 378 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (15 papers), Microgrid Control and Optimization (13 papers) and Power Systems Fault Detection (13 papers). The work is most often cited by research in Control and Systems Engineering (224 citations), Electrical and Electronic Engineering (303 citations) and Energy Engineering and Power Technology (13 citations). Xiaohui Song has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaoli Meng, Wanxing Sheng, Wei Gu, Fei Gao, Guannan Lou, Shanshan Zhao, Fei Gao, Wenjing Liu, Jianfang Li and Fei Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Colloid and Interface Science and IEEE Access.
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.