Jun Yu

3.0k citations
170 papers · 1.8k · 1 hit paper · h-index 19

Impact in

Papers in

    • Face recognition and analysis 37
    • Face and Expression Recognition 20
    • Advanced Neural Network Applications 15
    • Generative Adversarial Networks and Image Synthesis 14
    • Advanced Image and Video Retrieval Techniques 13
    • Advanced Image Processing Techniques 13

Jun Yu

153 papers receiving 1.7k citations

Jun Yu's Hit Papers

Deep Modular Co-Attention Networks for Visual Question Answering 2019 · 579 citations
5790+2+4Years since publication100200300400500

Peers

Jun Yu
Comparison fields: 5 of 131
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 594
  • Signal Processing 179
  • General Engineering 19
  • Human-Computer Interaction 77
Replace Xavier Alameda-Pineda with:
Xavier Alameda-Pineda France
Yingying Zhu China
Andreas Savakis United States
Jian Zhao China
Jun He China
Abdelmalik Taleb‐Ahmed France
Konstantinos Bousmalis United Kingdom
Deepu Rajan Singapore
Yu Xiang United States
Jonathan Brandt United States
Jun Yu relative to Xavier Alameda-Pineda France Xavier Alameda-Pineda's profile →
Citations per field
00.5×1.5×
Xavier Alameda-Pineda · 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 170 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 →
2019579
2 202047
3 201846
4 202037
5 201937
6 201534
7 201931
8 202231
9 200329
10 202329
11 202129
12 201428
13 202027
14 202023
15 202322
16 201621
17 201719
18 202019
19 200418
20 202315

About Jun Yu

Jun Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Control and Systems Engineering and Media Technology, having authored 170 papers that have together received 1.8k indexed citations. Recurring topics across this work include Face recognition and analysis (37 papers), Face and Expression Recognition (20 papers), Speech and Audio Processing (18 papers), Advanced Neural Network Applications (15 papers), Human Motion and Animation (14 papers), Generative Adversarial Networks and Image Synthesis (14 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Advanced Image Processing Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (594 citations), Signal Processing (179 citations), General Engineering (19 citations) and Human-Computer Interaction (77 citations). Jun Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuhao Cui, Qi Tian, Dacheng Tao, Yu Zhou, Zengfu Wang, Mengyan Li, Qiang Ling, Lingyun Yu, Chang Wen Chen and Zhaoyu Zhang. 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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