Can Zhao

486 citations
29 papers · 393 indexed · h-index 10
Topics
Neural Networks Stability and Synchronization (14 papers)Stability and Control of Uncertain Systems (12 papers)Distributed Control Multi-Agent Systems (9 papers)
Partner nations
ChinaCanadaEgypt

In The Last Decade

Can Zhao

27 papers receiving 384 citations

Peers

Can Zhao
Comparison fields: 5 of 84
  • Computer Networks and Communications 237
  • Control and Systems Engineering 148
  • Electrical and Electronic Engineering 54
  • Statistical and Nonlinear Physics 41
  • Artificial Intelligence 39
Replace Alessandro Falsone with:
Alessandro Falsone Italy
Jueyou Li China
Xing He China
JunMin Park South Korea
Waseem Abbas United States
Shengxian Zhuang China
Pengyu Zeng China
Shouping Guan China
Can Zhao relative to Alessandro Falsone Italy Alessandro Falsone's profile →
Citations per field
00.5×3.2×
Alessandro Falsone · 1×
Citations per year

Countries citing papers authored by Can Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Can Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Can Zhao. A scholar is included among the top collaborators of Can Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Can Zhao. Can Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 1
4 2
5 3
6 4
7 1
8 1
9 3
10 11
11 71
12 70
13 28
14 20
15 90
16 17
17 1
18 0
19 1
20
Design of the Servo-controller for ARM and Application in7 DOF Data Arm
1

About Can Zhao

Can Zhao is a scholar working on Computational Mathematics, Control and Systems Engineering and Computer Networks and Communications, having authored 29 papers that have together received 393 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (14 papers), Stability and Control of Uncertain Systems (12 papers) and Distributed Control Multi-Agent Systems (9 papers). The work is most often cited by research in Computer Networks and Communications (237 citations), Control and Systems Engineering (148 citations) and Statistical and Nonlinear Physics (41 citations). Can Zhao has collaborated with scholars based in China, Canada and Egypt. Frequent co-authors include Shouming Zhong, Kaibo Shi, Qishui Zhong, Xiaojun Zhang, Xinzhi Liu, Jun Cheng, Fucai Liu, YangQuan Chen, Kun She and Kun She. Their work appears in journals such as Information Sciences, International Journal of Biological Macromolecules and Neurocomputing.

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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