Xianen Zhou

448 citations
25 papers · 308 indexed · h-index 7
Topics
Industrial Vision Systems and Defect Detection (10 papers)Image and Object Detection Techniques (8 papers)Image Processing Techniques and Applications (5 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Xianen Zhou

22 papers receiving 302 citations

Peers

Xianen Zhou
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 168
  • Computer Vision and Pattern Recognition 161
  • Media Technology 51
  • Mechanical Engineering 44
  • Computational Mechanics 40
Replace Yan Dong with:
Yan Dong China
Zhigang Ling China
Oluyomi Simpson United Kingdom
Shun Ishizaka Japan
Shi-Nine Yang Taiwan
Yunqiang Duan China
Zhisheng Zhang China
Yunkang Cao China
Weibo Huang China
Kazuki Kozuka Japan
Xianen Zhou relative to Yan Dong China Yan Dong's profile →
Citations per field
00.5×1.7×
Yan Dong · 1×
Citations per year

Countries citing papers authored by Xianen Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xianen Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianen Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xianen Zhou. A scholar is included among the top collaborators of Xianen Zhou 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 Xianen Zhou. Xianen Zhou 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 1
3 1
4 0
5 0
6 1
7 1
8 1
9 11
10 1
11 1
12 5
13 1
14 29
15 33
16 5
17 66
18 4
19 4
20 23

About Xianen Zhou

Xianen Zhou is a scholar working on Industrial and Manufacturing Engineering, Media Technology and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 308 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (10 papers), Image and Object Detection Techniques (8 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (168 citations), Computer Vision and Pattern Recognition (161 citations) and Media Technology (51 citations). Xianen Zhou has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yaonan Wang, Hui Zhang, Qing Zhu, Xiao Lu, Changyan Xiao, Jianxu Mao, Yimin Yang, Q. M. Jonathan Wu, Ji Ge and Huihuang Zhao. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Medical Imaging and Sensors.

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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