Shike Wang

582 citations
23 papers · 436 · h-index 9

Impact in

Papers in

Shike Wang

23 papers receiving 431 citations

Peers

Shike Wang
Comparison fields: 5 of 26
  • Energy Engineering and Power Technology 115
  • Control and Systems Engineering 391
  • Electrical and Electronic Engineering 401
  • Automotive Engineering 15
  • Industrial and Manufacturing Engineering 5
Replace Baojin Liu with:
Baojin Liu China
Zhiwei Xie China
Milad Akrami France
Hyeong-Jun Yoo South Korea
Dayan B. Rathnayake Australia
Teng Wu China
Ruikuo Liu China
Alberto Rodríguez‐Cabero Spain
Takao Tsuji Japan
Ragam Rajagopal India
Shike Wang relative to Baojin Liu China Baojin Liu's profile →
Citations per field
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Baojin Liu · 1×
Citations per year

Countries citing papers authored by Shike Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shike Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Shike 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 Shike Wang Line = papers co-authored together Shike Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015149
2 2019106
3 201824
4 202323
5 201719
6 201618
7 201613
8 201712
9 201510
10 20168
11 20177
12 20177
13 20166
14 20166
15 20166
16 20204
17 20174
18 20204
19 20183
20 20173

About Shike Wang

Shike Wang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology, Computer Networks and Communications and Civil and Structural Engineering, having authored 23 papers that have together received 436 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (20 papers), Islanding Detection in Power Systems (18 papers), Smart Grid Energy Management (9 papers), Power Systems and Renewable Energy (4 papers), Multilevel Inverters and Converters (3 papers), Optimal Power Flow Distribution (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (115 citations), Control and Systems Engineering (391 citations), Electrical and Electronic Engineering (401 citations), Automotive Engineering (15 citations) and Industrial and Manufacturing Engineering (5 citations). Shike Wang has collaborated with scholars based in China and United States. Frequent co-authors include Jinjun Liu, Zeng Liu, Teng Wu, Dushan Boroyevich, Rolando Burgos, Baojin Liu, Xin Meng, Ronghui An, Jiarui Li and Jiayu Shang. Their work appears in journals such as IEEE Transactions on Power Electronics, International Journal of Imaging Systems and Technology and 2018 International Power Electronics Conference (IPEC-Niigata 2018 -ECCE Asia).

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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