Xuezhi Wen

1.1k citations
24 papers · 839 indexed · 1 hit paper · h-index 11
Topics
Video Surveillance and Tracking Methods (10 papers)Face and Expression Recognition (6 papers)Anomaly Detection Techniques and Applications (5 papers)

In The Last Decade

Xuezhi Wen

24 papers receiving 799 citations

Hit Papers

A rapid learning algorithm for vehicle classification20142026201820222014100200300400

Peers

Xuezhi Wen
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 417
  • Artificial Intelligence 239
  • Automotive Engineering 134
  • Media Technology 121
  • Computer Networks and Communications 108
Replace Feihu Zhang with:
Feihu Zhang China
Abdelkader Benyettou Algeria
David C. Anastasiu United States
Mohammed Yakoob Siyal Singapore
Gour Karmakar Australia
Asadollah Shahbahrami Iran
Yun Song China
Gul Muhammad Khan Pakistan
Zan Gao China
Xuezhi Wen relative to Feihu Zhang China Feihu Zhang's profile →
Citations per field
00.5×10×14.5×
Feihu Zhang · 1×
Citations per year

Countries citing papers authored by Xuezhi Wen

Since Specialization
Citations

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

Fields of papers citing papers by Xuezhi Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuezhi Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Xuezhi Wen. A scholar is included among the top collaborators of Xuezhi Wen 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 Xuezhi Wen. Xuezhi Wen 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 1
2 1
3 21
4 1
5
MeteCloud: Meteorological Cloud Computing Platform for Mobile Weather Forecasts based on Energy-aware Scheduling
3
6 38
7
A rapid learning algorithm for vehicle classificationbreakdown →
426
8 15
9 13
10 139
11 2
12 9
13 24
14
Improved Wavelet Feature Extraction Methods Based on HSV Space for Vehicle Detection
6
15 2
16 83
17 2
18 6
19 14
20 11

About Xuezhi Wen

Xuezhi Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering, having authored 24 papers that have together received 839 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (10 papers), Face and Expression Recognition (6 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (417 citations), Media Technology (121 citations) and Automotive Engineering (134 citations). Xuezhi Wen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Fang, Ling Shao, Yu Xue, Xue Yu, Huai Yuan, Wei Liu, Xu Jiang, Hong Zhao, Wei Liu and Yuhui Zheng. Their work appears in journals such as Information Sciences, IEEE Transactions on Circuits and Systems for Video Technology and The Scientific World JOURNAL.

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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