Kai Wang

4.4k citations
184 papers · 3.5k · h-index 35

Impact in

Papers in

Kai Wang

164 papers receiving 3.4k citations

Peers

Kai Wang
Comparison fields: 5 of 98
  • Control and Systems Engineering 1.5k
  • Electronic, Optical and Magnetic Materials 861
  • Electrical and Electronic Engineering 2.5k
  • Automotive Engineering 237
  • Mechanical Engineering 576
Replace John G. Kassakian with:
John G. Kassakian United States
Khai D. T. Ngo United States
A. Cavallini Italy
J.D. van Wyk United States
Wenxin Huang China
Jian Li China
Dong Jiang China
Hans‐Peter Nee Sweden
Antonios G. Kladas Greece
T. Weller United States
Kai Wang relative to John G. Kassakian United States John G. Kassakian's profile →
Citations per field
00.5×7.3×
John G. Kassakian · 1×
Citations per year

Countries citing papers authored by Kai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Wang Line = papers co-authored together Kai Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016259
2 2016145
3 2019127
4 2003111
5 2013101
6 2012100
7 201391
8 201485
9 201580
10 201875
11 201771
12 201868
13 201565
14 201163
15 201762
16 201459
17 201854
18 201853
19 201951
20 201849

About Kai Wang

Kai Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Mechanical Engineering and Automotive Engineering, having authored 184 papers that have together received 3.5k indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (107 papers), Magnetic Bearings and Levitation Dynamics (72 papers), Magnetic Properties and Applications (53 papers), Sensorless Control of Electric Motors (34 papers), Multilevel Inverters and Converters (29 papers), Induction Heating and Inverter Technology (11 papers), Microgrid Control and Optimization (6 papers) and Advanced Battery Technologies Research (6 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Electronic, Optical and Magnetic Materials (861 citations), Electrical and Electronic Engineering (2.5k citations), Automotive Engineering (237 citations) and Mechanical Engineering (576 citations). Kai Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include J. Li, Z. Q. Zhu, G. Ombach, Shushu Zhu, Chuang Liu, Haiyang Sun, Zhidong Teng, Haijun Jiang, Fuqiang Li and Lida Shen. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Magnetics, IEEE Transactions on Energy Conversion, IET Electric Power Applications and IEEE Transactions on Transportation Electrification.

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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