Can Cui

864 citations
43 papers · 622 · h-index 14

Impact in

Papers in

Can Cui

40 papers receiving 605 citations

Peers

Can Cui
Comparison fields: 5 of 53
  • Energy Engineering and Power Technology 45
  • Control and Systems Engineering 140
  • Mechanical Engineering 199
  • Electrical and Electronic Engineering 286
  • Computer Networks and Communications 110
Replace Kun Shi with:
Kun Shi China
Hafedh Trabelsi Tunisia
Xiaomin Wu China
Congzhi Huang China
Ahmad Hably France
Chen Shen China
Horst Schulte Germany
Mihaela Albu Romania
Can Cui relative to Kun Shi China Kun Shi's profile →
Citations per field
00.5×3.4×
Kun Shi · 1×
Citations per year

Countries citing papers authored by Can Cui

Since Specialization
Citations

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

Fields of papers citing papers by Can Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201585
2 201867
3 201365
4 201552
5 201739
6 201638
7 202031
8 201530
9 202428
10 201225
11 201623
12 202414
13 201114
14 201413
15 201812
16 202010
17 201910
18 20229
19 20258
20 20247

About Can Cui

Can Cui is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 43 papers that have together received 622 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (9 papers), Smart Grid Energy Management (5 papers), Integrated Energy Systems Optimization (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Microgrid Control and Optimization (4 papers), Smart Grid and Power Systems (4 papers), Optical measurement and interference techniques (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (45 citations), Control and Systems Engineering (140 citations), Mechanical Engineering (199 citations), Electrical and Electronic Engineering (286 citations) and Computer Networks and Communications (110 citations). Can Cui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Wang, Deliang Zeng, Jizhen Liu, Yuguang Niu, Yang Sun, Song Jiang, Shiding Lin, Jason Cong, Guangyu Sun and Xinghui Li. Their work appears in journals such as Energy, International Journal of Electrical Power & Energy Systems, Journal of Manufacturing Systems, IEEE Transactions on Transportation Electrification and IEEE Transactions on Industry Applications.

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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