Yangjun Ou

459 citations
17 papers · 372 · h-index 7

Impact in

Papers in

    • Human Pose and Action Recognition 5
    • Multimodal Machine Learning Applications 4
    • Advanced Image Processing Techniques 4
    • Image Enhancement Techniques 2
    • Video Analysis and Summarization 2
    • Advanced Neural Network Applications 2
    • Visual Attention and Saliency Detection 2
    • Advanced Image Fusion Techniques 3

Yangjun Ou

13 papers receiving 365 citations

Peers

Yangjun Ou
Comparison fields: 5 of 56
  • Media Technology 155
  • Computer Vision and Pattern Recognition 190
  • Materials Chemistry 79
  • Signal Processing 18
  • Experimental and Cognitive Psychology 20
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Yaohua Yi China
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Sijie Shao China
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Iván R. Terol‐Villalobos Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Yangjun Ou

Since Specialization
Citations

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

Fields of papers citing papers by Yangjun Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yangjun Ou, 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 Yangjun Ou Line = papers co-authored together Yangjun Ou links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2019145
2 200765
3 202064
4 202127
5 202220
6 202020
7 199213
8 20236
9 20244
10 20223
11 20243
12 20201
13 20231
14 20250
15 20230
16 20250
17 20250

About Yangjun Ou

Yangjun Ou is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Electronic, Optical and Magnetic Materials, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 17 papers that have together received 372 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Multimodal Machine Learning Applications (4 papers), Advanced Image Processing Techniques (4 papers), Advanced Image Fusion Techniques (3 papers), Image Enhancement Techniques (2 papers), Video Analysis and Summarization (2 papers), Advanced Neural Network Applications (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Media Technology (155 citations), Computer Vision and Pattern Recognition (190 citations), Materials Chemistry (79 citations), Signal Processing (18 citations) and Experimental and Cognitive Psychology (20 citations). Yangjun Ou has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Yongjun Zhang, Mingwei Sun, Zhenzhong Chen, Feng Wu, Sheng Yong Xu, Meiya Li, Xingzhong Zhao, Guojia Fang, Huiming Huang and Mi Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Letters, Journal of Building Engineering 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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