Fei “Fred” Wang

6.3k citations
184 papers · 5.0k · h-index 33

Impact in

Papers in

Fei “Fred” Wang

155 papers receiving 4.9k citations

Peers

Fei “Fred” Wang
Comparison fields: 5 of 68
  • Energy Engineering and Power Technology 489
  • Control and Systems Engineering 2.9k
  • Electrical and Electronic Engineering 4.7k
  • Automotive Engineering 320
  • Renewable Energy, Sustainability and the Environment 193
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Pooya Davari Denmark
Salvatore D'Arco Norway
Jingyang Fang China
Lexuan Meng Denmark
Jon Are Suul Norway
Sarath Perera Australia
Joydeep Mitra United States
Mohsen Hamzeh Iran
Xiaoming Zha China
Greg M Asher United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Fei “Fred” Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fei “Fred” Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei “Fred” 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 Fei “Fred” Wang. The network helps show where Fei “Fred” Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Fei “Fred” 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 Fei “Fred” Wang Line = papers co-authored together Fei “Fred” 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 2000404
2 2014275
3 2010268
4 2018253
5 2010239
6 2002212
7 2009202
8 2010171
9 2016169
10 2011161
11 2012141
12 2000137
13 2011117
14 2017115
15 2012105
16 201394
17 201193
18 200687
19 202374
20 201572

About Fei “Fred” Wang

Fei “Fred” Wang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology, Automotive Engineering and Statistics, Probability and Uncertainty, having authored 184 papers that have together received 5.0k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (89 papers), Advanced DC-DC Converters (50 papers), Multilevel Inverters and Converters (47 papers), Islanding Detection in Power Systems (37 papers), HVDC Systems and Fault Protection (24 papers), Silicon Carbide Semiconductor Technologies (20 papers), Smart Grid Energy Management (20 papers) and Power Systems and Renewable Energy (19 papers). The work is most often cited by research in Energy Engineering and Power Technology (489 citations), Control and Systems Engineering (2.9k citations), Electrical and Electronic Engineering (4.7k citations), Automotive Engineering (320 citations) and Renewable Energy, Sustainability and the Environment (193 citations). Fei “Fred” Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Jorge L. Duarte, Marcel A. M. Hendrix, Dushan Boroyevich, Rolando P. Burgos, Alex Q. Huang, Xu She, Hui Guo, Lijun Zhang, Haoran Zhang and Shaoan Dai. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Industry Applications, IEEE Journal of Emerging and Selected Topics in 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.

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