Zhenxia Ke

410 citations
8 papers · 266 indexed · 1 hit paper · h-index 6
Topics
Advanced Image Fusion Techniques (2 papers)Image Enhancement Techniques (2 papers)Industrial Vision Systems and Defect Detection (2 papers)
Partner nations
ChinaAustralia

In The Last Decade

Zhenxia Ke

8 papers receiving 261 citations

Hit Papers

Improved faster R-CNN for fabric defect detection based o...2021202620222024202150100150

Peers

Zhenxia Ke
Comparison fields: 5 of 65
  • Industrial and Manufacturing Engineering 136
  • Computer Vision and Pattern Recognition 125
  • Media Technology 60
  • Mechanical Engineering 38
  • Computational Mechanics 37
Replace Shih-Chieh Wu with:
Shih-Chieh Wu Taiwan
Linhao Shao China
Na Deng China
Swarit Anand Singh India
Xingjie Li China
Jakub Brezina Slovakia
Baoyuan Deng China
Jinlong Li China
Jianjun Wang China
Zhenxia Ke relative to Shih-Chieh Wu Taiwan Shih-Chieh Wu's profile →
Citations per field
00.5×3.1×
Shih-Chieh Wu · 1×
Citations per year

Countries citing papers authored by Zhenxia Ke

Since Specialization
Citations

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

Fields of papers citing papers by Zhenxia Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenxia Ke

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 1
2 6
3 28
4 6
5 1
6 18
7 18
8
Improved faster R-CNN for fabric defect detection based on Gabor filter with Genetic Algorithm optimizationbreakdown →
188

About Zhenxia Ke

Zhenxia Ke is a scholar working on Media Technology, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 266 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (2 papers), Image Enhancement Techniques (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (136 citations), Media Technology (60 citations) and Computer Vision and Pattern Recognition (125 citations). Zhenxia Ke has collaborated with scholars based in China and Australia. Frequent co-authors include Lingjie Yu, Chao Zhi, Mengqiu Zhu, Runjun Sun, Mengqi Chen, Yuming Zhang, Wei Fan, Xingzhong Gao, Tao Liu and Shuai Wang. Their work appears in journals such as Polymers, Applied Sciences and Computers in Industry.

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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