Zaixin Song

2.2k citations
90 papers · 1.6k indexed · h-index 25
Topics
Electric Motor Design and Analysis (66 papers)Magnetic Bearings and Levitation Dynamics (41 papers)Multilevel Inverters and Converters (28 papers)
Partner nations
Hong KongChinaSingapore

In The Last Decade

Zaixin Song

86 papers receiving 1.6k citations

Peers

Zaixin Song
Comparison fields: 5 of 58
  • Electrical and Electronic Engineering 1.3k
  • Control and Systems Engineering 736
  • Electronic, Optical and Magnetic Materials 347
  • Mechanical Engineering 344
  • Automotive Engineering 149
Replace Silvio Vaschetto with:
Silvio Vaschetto Italy
Hang Zhao China
Antonino Oscar Di Tommaso Italy
Michele Degano United Kingdom
Alberto Tessarolo Italy
Jianghua Feng China
A. Raciti Italy
Axel Mertens Germany
Li Sun China
Senyi Liu Hong Kong
Zaixin Song relative to Silvio Vaschetto Italy Silvio Vaschetto's profile →
Citations per field
00.5×3.4×
Silvio Vaschetto · 1×
Citations per year

Countries citing papers authored by Zaixin Song

Since Specialization
Citations

This map shows the geographic impact of Zaixin 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 Zaixin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaixin Song more than expected).

Fields of papers citing papers by Zaixin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zaixin 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 Zaixin Song. The network helps show where Zaixin Song may publish in the future.

Co-authorship network of co-authors of Zaixin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Zaixin Song. A scholar is included among the top collaborators of Zaixin 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 Zaixin Song. Zaixin Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 1
4 0
5 2
6 8
7 4
8 1
9 2
10 2
11 16
12 1
13 1
14 24
15 52
16 35
17 28
18 31
19 48
20 19

About Zaixin Song

Zaixin Song is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (66 papers), Magnetic Bearings and Levitation Dynamics (41 papers) and Multilevel Inverters and Converters (28 papers). The work is most often cited by research in Control and Systems Engineering (736 citations), Electrical and Electronic Engineering (1.3k citations) and Electronic, Optical and Magnetic Materials (347 citations). Zaixin Song has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Chunhua Liu, Hang Zhao, Senyi Liu, Zhiping Dong, Rundong Huang, Wusen Wang, K. T. Chau, Christopher H. T. Lee, Jincheng Yu and Yuxin Liu. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Industrial Electronics and Applied Energy.

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.

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