Kangfei Zhao

604 citations
26 papers · 258 indexed · h-index 10
Topics
Advanced Graph Neural Networks (13 papers)Graph Theory and Algorithms (8 papers)Complex Network Analysis Techniques (8 papers)

In The Last Decade

Kangfei Zhao

23 papers receiving 252 citations

Peers

Kangfei Zhao
Comparison fields: 5 of 36
  • Artificial Intelligence 195
  • Computer Vision and Pattern Recognition 93
  • Computer Networks and Communications 53
  • Statistical and Nonlinear Physics 44
  • Signal Processing 40
Replace Robert Pienta with:
Robert Pienta United States
Peter Lofgren United States
Antonio Maccioni Italy
Jeffery Xu Yu Hong Kong
Yifan Chen China
Julien Leblay France
Alex Averbuch Canada
İsmail İlkan Ceylan United Kingdom
Melisachew Wudage Chekol Germany
Renchi Yang Hong Kong
Kangfei Zhao relative to Robert Pienta United States Robert Pienta's profile →
Citations per field
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Robert Pienta · 1×
Citations per year

Countries citing papers authored by Kangfei Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Kangfei Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangfei Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Kangfei Zhao. A scholar is included among the top collaborators of Kangfei 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 Kangfei Zhao. Kangfei 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 0
2 0
3 1
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10 11
11 1
12 1
13 11
14 2
15 4
16 11
17 21
18 47
19
Graph Processing in RDBMSs.
4
20 33

About Kangfei Zhao

Kangfei Zhao is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 258 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (13 papers), Graph Theory and Algorithms (8 papers) and Complex Network Analysis Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (195 citations), Computer Vision and Pattern Recognition (93 citations) and Signal Processing (40 citations). Kangfei Zhao has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jeffrey Xu Yu, Hong Cheng, Weiguo Zheng, Yu Rong, Lei Zou, Junzhou Huang, Hao Zhang, Jianheng Tang, Hao Zhang and Qiyan Li. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Neural Networks.

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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