Bin Feng

957 total citations
48 papers, 621 citations indexed

About

Bin Feng is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Bin Feng has authored 48 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Bin Feng's work include Human Pose and Action Recognition (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Coding and Compression Technologies (5 papers). Bin Feng is often cited by papers focused on Human Pose and Action Recognition (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Coding and Compression Technologies (5 papers). Bin Feng collaborates with scholars based in China, United States and Italy. Bin Feng's co-authors include Wenyu Liu, Xinggang Wang, Xiang Bai, Longin Jan Latecki, Hao Wang, Bo Yang, Peng Tang, Ying Shan, Shusheng Yang and Yu Li and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Information Sciences.

In The Last Decade

Bin Feng

40 papers receiving 610 citations

Peers

Bin Feng
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 411
  • Biomedical Engineering 180
  • Artificial Intelligence 95
  • Human-Computer Interaction 81
  • Signal Processing 60
Replace Lijie Fan with:
Lijie Fan United States
Pengfei Wan China
Arindam Sengupta United States
Liquan Dong China
Clément Menier France
Zhaoxi Chen China
Gokul Krishnan India
Yasuyo Kita Japan
Mehmet Saygın Seyfioğlu Türkiye
Lijie Fan United States View profile →
Citations per field, relative to Bin Feng
Bin Feng · 1×
Citations per year, relative to Bin Feng
Bin Feng · 1×

Countries citing papers authored by Bin Feng

Since Specialization
Citations

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

Fields of papers citing papers by Bin Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Feng. A scholar is included among the top collaborators of Bin Feng 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 Bin Feng. Bin Feng 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 0
3 1
4 0
5 0
6 2
7 6
8 2
9 18
10
QueryInst: Parallelly Supervised Mask Query for Instance Segmentation
8
11 52
12 0
13 19
14 16
15 12
16
Study on the Optimum Control of Soybean Aphid
0
17 10
18 1
19 0
20 5

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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