Wenfa Kang

507 citations
33 papers · 356 · h-index 12

Impact in

Papers in

Wenfa Kang

31 papers receiving 348 citations

Peers

Wenfa Kang
Comparison fields: 5 of 35
  • Energy Engineering and Power Technology 45
  • Control and Systems Engineering 254
  • Electrical and Electronic Engineering 299
  • Automotive Engineering 47
  • Cognitive Neuroscience 31
Replace Mir Nahidul Ambia with:
Mir Nahidul Ambia Australia
Zongbin Ye China
E A Jasmin India
Munish Manas India
Ali Arsalan United States
Chenxi Wu China
Alfonso Parreño Torres Spain
Fenglong Lu United States
Wenjie Chen China
Wenfa Kang relative to Mir Nahidul Ambia Australia Mir Nahidul Ambia's profile →
Citations per field
00.5×3.4×
Mir Nahidul Ambia · 1×
Citations per year

Countries citing papers authored by Wenfa Kang

Since Specialization
Citations

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

Fields of papers citing papers by Wenfa Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201651
2 202135
3 202227
4 202026
5 202325
6 201724
7 202123
8 201921
9 202218
10 202416
11 202016
12 202112
13 201910
14 20249
15 20228
16 20226
17 20215
18 20244
19 20244
20 20243

About Wenfa Kang

Wenfa Kang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering, Energy Engineering and Power Technology and Computer Networks and Communications, having authored 33 papers that have together received 356 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (27 papers), Smart Grid Energy Management (15 papers), Optimal Power Flow Distribution (9 papers), Advanced Battery Technologies Research (7 papers), Power Systems and Renewable Energy (3 papers), Frequency Control in Power Systems (3 papers), Electric Vehicles and Infrastructure (2 papers) and Smart Grid Security and Resilience (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (45 citations), Control and Systems Engineering (254 citations), Electrical and Electronic Engineering (299 citations), Automotive Engineering (47 citations) and Cognitive Neuroscience (31 citations). Wenfa Kang has collaborated with scholars based in China, Denmark and Australia. Frequent co-authors include Minyou Chen, Josep M. Guerrero, Juan C. Vásquez, Yajuan Guan, Wei Lai, Qiang Li, Feixiong Chen, Bo Li, Changsheng Li and Li Zhang. Their work appears in journals such as Energies, Applied Energy, IEEE Transactions on Industrial Electronics, IEEE Access and Energy Reports.

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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