Fen Tang

2.0k citations
55 papers · 1.6k · h-index 17

Impact in

Papers in

Fen Tang

52 papers receiving 1.6k citations

Peers

Fen Tang
Comparison fields: 5 of 36
  • Energy Engineering and Power Technology 291
  • Control and Systems Engineering 1.4k
  • Electrical and Electronic Engineering 1.5k
  • Automotive Engineering 124
  • Renewable Energy, Sustainability and the Environment 139
Replace Dennis Michaelson with:
Dennis Michaelson Canada
Baochao Wang China
Tommaso Caldognetto Italy
Amr Radwan Canada
Reza Noroozian Iran
Sercan Teleke United States
Ioan Serban Romania
E. Ortjohann Germany
Şaban Özdemir Türkiye
Mohammad N. Marwali United States
Fen Tang relative to Dennis Michaelson Canada Dennis Michaelson's profile →
Citations per field
00.5×1.6×
Dennis Michaelson · 1×
Citations per year

Countries citing papers authored by Fen Tang

Since Specialization
Citations

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

Fields of papers citing papers by Fen Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fen Tang, 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 Fen Tang Line = papers co-authored together Fen Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014217
2 2014201
3 2015172
4 2015169
5 2014110
6 201593
7 201874
8 201964
9 200850
10 201550
11 202147
12 201944
13 201440
14 201831
15 202119
16 202119
17 201818
18 201316
19 201415
20 200915

About Fen Tang

Fen Tang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment and Automotive Engineering, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (45 papers), Multilevel Inverters and Converters (21 papers), Advanced DC-DC Converters (17 papers), Islanding Detection in Power Systems (13 papers), Smart Grid Energy Management (12 papers), Power Systems and Renewable Energy (8 papers), Optimal Power Flow Distribution (6 papers) and Photovoltaic System Optimization Techniques (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (291 citations), Control and Systems Engineering (1.4k citations), Electrical and Electronic Engineering (1.5k citations), Automotive Engineering (124 citations) and Renewable Energy, Sustainability and the Environment (139 citations). Fen Tang has collaborated with scholars based in China, Denmark and Hong Kong. Frequent co-authors include Josep M. Guerrero, Juan C. Vásquez, Dan Wu, Tomislav Dragičević, Lexuan Meng, Mehdi Savaghebi, Xuezhi Wu, Poh Chiang Loh, Xinmin Jin and Xin Zhao. Their work appears in journals such as IET Power Electronics, IEEE Transactions on Power Electronics, IEEE Transactions on Smart Grid, IEEE Transactions on Energy Conversion 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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