Rui Min

1.1k citations
23 papers · 626 indexed · h-index 11
Topics
Face and Expression Recognition (9 papers)Face recognition and analysis (6 papers)Parallel Computing and Optimization Techniques (6 papers)
Partner nations
United StatesFranceChina

In The Last Decade

Rui Min

22 papers receiving 592 citations

Peers

Rui Min
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 433
  • Signal Processing 142
  • Computer Networks and Communications 71
  • Hardware and Architecture 63
  • Artificial Intelligence 60
Replace Jean Andrian with:
Jean Andrian United States
Wen‐Jyi Hwang Taiwan
P. S. Sathidevi India
Chiu‐Sing Choy Hong Kong
Kyuyeon Hwang South Korea
Giuseppe Tagliavini Italy
Larbi Boubchir France
N.V. Boulgouris Greece
Nacer Farajzadeh Iran
Berin Martini United States
Rui Min relative to Jean Andrian United States Jean Andrian's profile →
Citations per field
00.5×1.5×2.4×
Jean Andrian · 1×
Citations per year

Countries citing papers authored by Rui Min

Since Specialization
Citations

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

Fields of papers citing papers by Rui Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Min

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Min. A scholar is included among the top collaborators of Rui Min 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 Rui Min. Rui Min 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 0
2 37
3 189
4 59
5 8
6 10
7 7
8 2
9 96
10 19
11 2
12 8
13 6
14 82
15 11
16
Image retrieval based on relevance feedback using fuzzy support vector machines
1
17 22
18 2
19 16
20 13

About Rui Min

Rui Min is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Media Technology, having authored 23 papers that have together received 626 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Face recognition and analysis (6 papers) and Parallel Computing and Optimization Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (433 citations), Signal Processing (142 citations) and Hardware and Architecture (63 citations). Rui Min has collaborated with scholars based in United States, France and China. Frequent co-authors include Jean‐Luc Dugelay, Neslihan Köse, Heng-Da Cheng, Abdenour Hadid, Yiming Hu, Muthucumaru Maheswaran, Jian Cheng, Dinggang Shen, Zhiyong Xu and Qian Wang. Their work appears in journals such as Pattern Recognition, Human Brain Mapping and IEEE Transactions on Computers.

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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