Song Ke

621 citations
44 papers · 397 · h-index 12

Impact in

Papers in

Song Ke

41 papers receiving 388 citations

Peers

Song Ke
Comparison fields: 5 of 58
  • Energy Engineering and Power Technology 50
  • Control and Systems Engineering 170
  • Statistics, Probability and Uncertainty 41
  • Automotive Engineering 59
  • Electrical and Electronic Engineering 275
Replace W. Bower with:
W. Bower United States
Basim Alsayid Palestinian Territory
Olga Lavrova United States
Suyong Chae South Korea
Nicola Panzavecchia Italy
Ricky R. Chan Finland
Yih‐Der Lee Taiwan
Jianwei Yang China
Shunqi Zeng China
Mounir Khiat Algeria
Song Ke relative to W. Bower United States W. Bower's profile →
Citations per field
00.5×10×13.5×
W. Bower · 1×
Citations per year

Countries citing papers authored by Song Ke

Since Specialization
Citations

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

Fields of papers citing papers by Song Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202046
2 202245
3 202338
4 202125
5 202223
6 202423
7 202322
8 202221
9 202118
10 200817
11 202414
12 202312
13 202411
14 20219
15 20089
16 20216
17 20234
18 20214
19 20224
20 20074

About Song Ke

Song Ke is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Energy Engineering and Power Technology and Mechanical Engineering, having authored 44 papers that have together received 397 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (20 papers), Electric Vehicles and Infrastructure (11 papers), Frequency Control in Power Systems (9 papers), Advanced Battery Technologies Research (7 papers), Power Systems and Renewable Energy (6 papers), Sensorless Control of Electric Motors (4 papers), Risk and Safety Analysis (3 papers) and HVDC Systems and Fault Protection (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (50 citations), Control and Systems Engineering (170 citations), Statistics, Probability and Uncertainty (41 citations), Automotive Engineering (59 citations) and Electrical and Electronic Engineering (275 citations). Song Ke has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Peixiao Fan, Jun Yang, Fuzhang Wu, Changhua Liu, Huiying Li, Yong Dan, Lei Chen, Weiguo Liu, Guangzhao Luo and Dongpeng Liu. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Applied Sciences, Sustainability, IET Generation Transmission & Distribution and Journal of Energy Storage.

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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