Keyan Cao

1.3k citations
17 papers · 771 indexed · 1 hit paper · h-index 7
Topics
Anomaly Detection Techniques and Applications (7 papers)Data Management and Algorithms (4 papers)Machine Learning and ELM (3 papers)
Partner nations
ChinaCanada

In The Last Decade

Keyan Cao

15 papers receiving 734 citations

Hit Papers

An Overview on Edge Computing Research20202026202220242020200400600

Peers

Keyan Cao
Comparison fields: 5 of 86
  • Computer Networks and Communications 388
  • Information Systems 232
  • Artificial Intelligence 198
  • Electrical and Electronic Engineering 171
  • Computer Vision and Pattern Recognition 130
Replace Weijia Jia with:
Weijia Jia China
Hailiang Zhao China
Abhishek Hazra India
Rajkumar Singh Rathore United Kingdom
Yanni Yang China
Wael Elmedany Bahrain
Zhipeng Gao China
Xueqiang Yan China
Spyridon Mastorakis United States
Andreas P. Plageras Greece
Keyan Cao relative to Weijia Jia China Weijia Jia's profile →
Citations per field
00.5×3.1×
Weijia Jia · 1×
Citations per year

Countries citing papers authored by Keyan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Keyan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keyan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Keyan Cao. A scholar is included among the top collaborators of Keyan Cao 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 Keyan Cao. Keyan Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 5
3 0
4 4
5 8
6 4
7
An Overview on Edge Computing Researchbreakdown →
669
8 10
9 14
10 1
11 6
12 2
13 2
14 12
15 0
16 5
17 26

About Keyan Cao

Keyan Cao is a scholar working on Signal Processing, Artificial Intelligence and Transportation, having authored 17 papers that have together received 771 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Data Management and Algorithms (4 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Computer Networks and Communications (388 citations), Information Systems (232 citations) and Computer Vision and Pattern Recognition (130 citations). Keyan Cao has collaborated with scholars based in China and Canada. Frequent co-authors include Guoren Wang, Donghong Han, Xin Zhang, Hao‐Li Liu, Junchang Xin, Zhiqiong Wang, Mingrui Wang, Chong Jiang, Qi Li and Fangjun Luan. Their work appears in journals such as IEEE Access, Neurocomputing and Frontiers in Physiology.

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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