Yu‐Feng Yu

635 total citations
45 papers, 418 citations indexed

About

Yu‐Feng Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yu‐Feng Yu has authored 45 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Yu‐Feng Yu's work include Face and Expression Recognition (13 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Yu‐Feng Yu is often cited by papers focused on Face and Expression Recognition (13 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Yu‐Feng Yu collaborates with scholars based in China, Macao and Norway. Yu‐Feng Yu's co-authors include Ke-Kun Huang, Chuan-Xian Ren, Dao‐Qing Dai, Long Chen, Guoxia Xu, Hu Zhu, Zhao‐Rong Lai, Weiping Ding, Lizhen Deng and Pengfei Ge and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yu‐Feng Yu

37 papers receiving 412 citations

Peers

Yu‐Feng Yu
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 265
  • Artificial Intelligence 102
  • Media Technology 85
  • Signal Processing 45
  • Aerospace Engineering 33
Replace Chuancai Liu with:
Chuancai Liu China
Chaorong Li China
Tanish Zaveri India
В. В. Старовойтов Belarus
Soumendu Chakraborty India
Xindi Wu United States
Meer United States
Alexandre L. M. Levada Brazil
Weiping Tu China
Rongchun Zhao China
Chuancai Liu China View profile →
Citations per field, relative to Yu‐Feng Yu
Yu‐Feng Yu · 1×
Citations per year, relative to Yu‐Feng Yu
Yu‐Feng Yu · 1×

Countries citing papers authored by Yu‐Feng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Feng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Feng Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Feng Yu. A scholar is included among the top collaborators of Yu‐Feng 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 Yu‐Feng Yu. Yu‐Feng 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
# Work Indexed citations
1 2
2 0
3 0
4 0
5 0
6 0
7 2
8 2
9 8
10 2
11 0
12 8
13 15
14 9
15 8
16 3
17 9
18 0
19 3
20 14

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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