Qiang Song
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Mechanical Engineering
- Biomedical Engineering
- Co-authors
- Jiageng RuanDaehyoung HongDaniel M. CorcosGil Lúcio AlmeidaG. L. GottliebWeiwei YangChao JiaShuo Zhang
- Topics
- Electric and Hybrid Vehicle Technologies (18 papers)Electric Motor Design and Analysis (12 papers)Multilevel Inverters and Converters (12 papers)
- Cited by
- Automotive EngineeringControl and Systems EngineeringPhysical Therapy, Sports Therapy and Rehabilitation
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qiang Song
70 papers receiving 668 citations
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 332
- Control and Systems Engineering 273
- Automotive Engineering 224
- Mechanical Engineering 146
- Biomedical Engineering 110
Countries citing papers authored by Qiang Song
This map shows the geographic impact of Qiang 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 Qiang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Song more than expected).
Fields of papers citing papers by Qiang Song
This network shows the impact of papers produced by Qiang 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 Qiang Song. The network helps show where Qiang Song may publish in the future.
Co-authorship network of co-authors of Qiang Song
This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Song. A scholar is included among the top collaborators of Qiang 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 Qiang Song. Qiang 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 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 13 | |
| 11 | 6 | |
| 12 | 24 | |
| 13 | 28 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 46 | |
| 17 | 65 | |
| 18 | 57 | |
| 19 | 24 | |
| 20 | 2 |
About Qiang Song
Qiang Song is a scholar working on Automotive Engineering, Control and Systems Engineering and Energy Engineering and Power Technology, having authored 83 papers that have together received 696 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (18 papers), Electric Motor Design and Analysis (12 papers) and Multilevel Inverters and Converters (12 papers). The work is most often cited by research in Automotive Engineering (224 citations), Control and Systems Engineering (273 citations) and Physical Therapy, Sports Therapy and Rehabilitation (31 citations). Qiang Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiageng Ruan, Daehyoung Hong, Daniel M. Corcos, Gil Lúcio Almeida, G. L. Gottlieb, Weiwei Yang, G. L. Gottlieb, Chao Jia, Shuo Zhang and Wanke Cao. Their work appears in journals such as Journal of Neurophysiology, IEEE Transactions on Power Electronics 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.