Kun Zhao

1.1k citations
47 papers · 711 indexed · 1 hit paper · h-index 12
Topics
Ultrasound and Cavitation Phenomena (6 papers)Video Surveillance and Tracking Methods (5 papers)Structural Response to Dynamic Loads (5 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Kun Zhao

40 papers receiving 674 citations

Hit Papers

A Comprehensive Survey of Loss Functions in Machine Learning20202026202220242020100200300400

Peers

Kun Zhao
Comparison fields: 5 of 134
  • Artificial Intelligence 196
  • Computer Vision and Pattern Recognition 153
  • Civil and Structural Engineering 63
  • Electrical and Electronic Engineering 59
  • Aerospace Engineering 56
Replace Grazia Lo Sciuto with:
Grazia Lo Sciuto Italy
Tareq M. Shami United Kingdom
Jeff Heaton United States
Nikhil Ketkar United States
Sujuan Hou China
Junzhao Yu China
Rania M. Ghoniem Saudi Arabia
Xuming Han China
Maria Presa Reyes United States
Kun Zhao relative to Grazia Lo Sciuto Italy Grazia Lo Sciuto's profile →
Citations per field
00.5×1.5×2.4×
Grazia Lo Sciuto · 1×
Citations per year

Countries citing papers authored by Kun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Kun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Zhao. A scholar is included among the top collaborators of Kun 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 Kun Zhao. Kun 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 4
2 0
3 1
4 3
5 0
6 1
7 8
8 0
9 0
10 1
11 3
12 2
13 4
14 1
15 12
16 24
17 2
18 5
19 14
20
Background Noise Suppression in Small Targets Infrared Images and Its Method Discussion
5

About Kun Zhao

Kun Zhao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 47 papers that have together received 711 indexed citations. Recurring topics across this work include Ultrasound and Cavitation Phenomena (6 papers), Video Surveillance and Tracking Methods (5 papers) and Structural Response to Dynamic Loads (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (153 citations), Artificial Intelligence (196 citations) and Health Information Management (20 citations). Kun Zhao has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yingjie Tian, Yue Ma, Qi Wang, Dongyan Shi, Lifu Wang, Guangliang Li, Li Zhang, Hong Wang, Xin Wang and Xiongfei Cao. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems 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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