Kun Yuan

1.3k total citations · 1 hit paper
32 papers, 727 citations indexed

About

Kun Yuan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Kun Yuan has authored 32 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Mechanics of Materials. Recurrent topics in Kun Yuan's work include Image and Video Quality Assessment (7 papers), Advanced Neural Network Applications (5 papers) and Advanced Image Fusion Techniques (4 papers). Kun Yuan is often cited by papers focused on Image and Video Quality Assessment (7 papers), Advanced Neural Network Applications (5 papers) and Advanced Image Fusion Techniques (4 papers). Kun Yuan collaborates with scholars based in China, Canada and United States. Kun Yuan's co-authors include Aojun Zhou, Ziwei Liu, Fengwei Yu, Shaopeng Guo, Wei Wu, Liping Zhu, Ming Sun, Kai Zhao, Xing Wen and Mading Li and has published in prestigious journals such as PLoS ONE, Pattern Recognition and Frontiers in Psychology.

In The Last Decade

Kun Yuan

29 papers receiving 711 citations

Hit Papers

Incorporating Convolution Designs into Visual Transformers 2021 2026 2022 2024 2021 100 200 300

Peers

Kun Yuan
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 500
  • Artificial Intelligence 222
  • Media Technology 121
  • Biomedical Engineering 56
  • Electrical and Electronic Engineering 55
Replace Qing Tian with:
Qing Tian China
Yan Shuicheng Singapore
Aojun Zhou China
Zongxin Yang China
Thangarajah Akilan Canada
Jinbao Wang China
Hao Shen China
Renjie Song China
Wouter Van Gansbeke Belgium
Qing Tian China View profile →
Citations per field, relative to Kun Yuan
Kun Yuan · 1×
Citations per year, relative to Kun Yuan
Kun Yuan · 1×

Countries citing papers authored by Kun Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Yuan. A scholar is included among the top collaborators of Kun Yuan 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 Kun Yuan. Kun Yuan 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
# Work Indexed citations
1 0
2 1
3 1
4 0
5 1
6 7
7 17
8 1
9 43
10 12
11 7
12 14
13 11
14 12
15 7
16 11
17 7
18 1
19
Finite Element Analysis of Magnetoelastic Plate Problems.
0
20
Numerical Solutions for Coupled Magnetomechanics.
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026