Wei Qu

457 citations
36 papers · 272 · h-index 8

Impact in

    • Video Surveillance and Tracking Methods
    • Advanced Vision and Imaging
    • Human Pose and Action Recognition
    • Advanced Image and Video Retrieval Techniques
    • Anomaly Detection Techniques and Applications
    • Target Tracking and Data Fusion in Sensor Networks
    • Metaheuristic Optimization Algorithms Research

Papers in

Wei Qu

29 papers receiving 249 citations

Peers

Wei Qu
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 189
  • Artificial Intelligence 114
  • Human-Computer Interaction 12
  • Aerospace Engineering 30
  • Aging 2
Replace Guan Luo with:
Guan Luo China
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Zhiyuan Shi China
Jorge García Spain
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Citations per field
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Citations per year

Countries citing papers authored by Wei Qu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Qu Line = papers co-authored together Wei Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201077
2 200536
3 200628
4 200618
5 200718
6 201112
7 20099
8
Semi-supervised Multi-label Learning Algorithm Using Dependency Among Labels
20117
9 20227
10 20086
11 20195
12 20095
13 20225
14 20254
15 20064
16 20194
17 20103
18 20102
19 20172
20 20062

About Wei Qu

Wei Qu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 36 papers that have together received 272 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Energy Efficient Wireless Sensor Networks (7 papers), Indoor and Outdoor Localization Technologies (5 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Vision and Imaging (4 papers), Human Pose and Action Recognition (3 papers) and Water Quality Monitoring Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Artificial Intelligence (114 citations), Human-Computer Interaction (12 citations), Aerospace Engineering (30 citations) and Aging (2 citations). Wei Qu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dan Schonfeld, Steve Maybank, Xiaoqin Zhang, Weiming Hu, M.A. Mohamed, Magdi A. Mohamed, Nidhal Bouaynaya, Guorong Li, Qingming Huang and Yang Zhang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Visualization and Computer Graphics, Cancer Management and Research, IEEE Transactions on Image Processing and Waste Management.

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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