Jun Yu

2.9k citations
169 papers · 1.7k indexed · 1 hit paper · h-index 19
Topics
Face recognition and analysis (37 papers)Face and Expression Recognition (20 papers)Speech and Audio Processing (18 papers)

In The Last Decade

Jun Yu

149 papers receiving 1.6k citations

Hit Papers

Deep Modular Co-Attention Networks for Visual Question An...20192026202120232019100200300400500

Peers

Jun Yu
Comparison fields: 5 of 131
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 580
  • Signal Processing 175
  • Experimental and Cognitive Psychology 139
  • Control and Systems Engineering 121
Replace Xavier Alameda-Pineda with:
Xavier Alameda-Pineda France
Jian Zhao China
Jonathan Brandt United States
Rameswar Panda United States
Jun He China
Junho Yim South Korea
Hai Liu China
Bogusław Cyganek Poland
Honggang Zhang China
Yu Xiang 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-authorship network of co-authors of Jun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yu. A scholar is included among the top collaborators of Jun Yu 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 Jun Yu. Jun Yu 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 0
3 1
4 2
5 4
6 1
7 1
8 3
9 1
10 1
11 1
12 3
13 26
14 45
15 9
16 36
17 32
18 1
19 14
20 2

About Jun Yu

Jun Yu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and General Engineering, having authored 169 papers that have together received 1.7k indexed citations. Recurring topics across this work include Face recognition and analysis (37 papers), Face and Expression Recognition (20 papers) and Speech and Audio Processing (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (580 citations) and General Engineering (19 citations). Jun Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dacheng Tao, Yu Zhou, Yuhao Cui, Qi Tian, Zengfu Wang, Mengyan Li, Qiang Ling, Lingyun Yu, Chang Wen Chen and Zhaoyu Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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