Jun Yu

2.9k citations
183 papers · 2k · 1 hit paper · h-index 18

Impact in

    • Multimodal Machine Learning Applications
    • Face recognition and analysis
    • Advanced Neural Network Applications
    • Generative Adversarial Networks and Image Synthesis
    • Video Surveillance and Tracking Methods
    • Speech and Audio Processing

Papers in

Jun Yu

170 papers receiving 2k citations

Jun Yu's Hit Papers

Deep Modular Co-Attention Networks for Visual Question Answering 2019 · 706 citations
7060+2+4Years since publication200400600

Peers

Jun Yu
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 1.3k
  • Signal Processing 130
  • Experimental and Cognitive Psychology 244
  • Artificial Intelligence 263
  • Media Technology 54
Replace Changxing Ding with:
Changxing Ding China
Jian Cun Zhao China
Ying Shen China
Tim K. Marks United States
Yan Yan China
Shijie Hao China
Maylor K. H. Leung Singapore
Kaipeng Zhang China
Raviteja Vemulapalli United States
Jun Yu relative to Changxing Ding China Changxing Ding's profile →
Citations per field
00.5×1.5×2×2.4×
Changxing Ding · 1×
Citations per year

Countries citing papers authored by Jun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Modular Co-Attention Networks for Visual Question Answering
Hit paper breakdown →
2019706
2 201852
3 202050
4 202044
5 202239
6 202339
7 201934
8 202132
9 201431
10 202029
11 202026
12 201722
13 202322
14 201621
15 202020
16 202420
17 201918
18 202318
19 201516
20 201616

About Jun Yu

Jun Yu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology, Control and Systems Engineering and Artificial Intelligence, having authored 183 papers that have together received 2k indexed citations. Recurring topics across this work include Face recognition and analysis (31 papers), Advanced Neural Network Applications (18 papers), Emotion and Mood Recognition (18 papers), Human Motion and Animation (16 papers), Speech and Audio Processing (16 papers), Generative Adversarial Networks and Image Synthesis (15 papers), 3D Shape Modeling and Analysis (11 papers) and Multimodal Machine Learning Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Signal Processing (130 citations), Experimental and Cognitive Psychology (244 citations), Artificial Intelligence (263 citations) and Media Technology (54 citations). Jun Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dacheng Tao, Yu Zhou, Qi Chuan Tian, Yuhao Cui, Zengfu Wang, Qiang Ling, Lingyun Yu, Chang Wen Chen, Zhaoyu Zhang and Zengfu Wang. Their work appears in journals such as IEEE Transactions on Multimedia, Multimedia Tools and Applications, IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Multimedia Computing Communications and Applications and IEEE Access.

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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