Tianrui Hui

1.1k citations
24 papers · 585 indexed · h-index 10
Topics
Multimodal Machine Learning Applications (14 papers)Advanced Image and Video Retrieval Techniques (9 papers)Domain Adaptation and Few-Shot Learning (6 papers)
Partner nations
ChinaPolandAustralia

In The Last Decade

Tianrui Hui

23 papers receiving 577 citations

Peers

Tianrui Hui
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 518
  • Artificial Intelligence 184
  • Automotive Engineering 83
  • Media Technology 44
  • Aerospace Engineering 28
Replace Shaofei Huang with:
Shaofei Huang China
Chongjian Ge Hong Kong
Vitaly Ablavsky United States
Siva Karthik Mustikovela Germany
Chenxin Tao China
Haibing Ren China
Dahun Kim United States
K J Joseph India
Zhixiong Nan China
Mourad A. Kenk Egypt
Tianrui Hui relative to Shaofei Huang China Shaofei Huang's profile →
Citations per field
00.5×
Shaofei Huang · 1×
Citations per year

Countries citing papers authored by Tianrui Hui

Since Specialization
Citations

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

Fields of papers citing papers by Tianrui Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianrui Hui

This figure shows the co-authorship network connecting the top 25 collaborators of Tianrui Hui. A scholar is included among the top collaborators of Tianrui Hui 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 Tianrui Hui. Tianrui Hui 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 1
3 1
4 5
5 2
6 4
7 5
8 9
9 3
10 3
11 60
12 5
13 30
14 42
15 8
16 4
17 92
18 134
19 17
20 5

About Tianrui Hui

Tianrui Hui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 24 papers that have together received 585 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (14 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (518 citations), Automotive Engineering (83 citations) and Artificial Intelligence (184 citations). Tianrui Hui has collaborated with scholars based in China, Poland and Australia. Frequent co-authors include Si Liu, Shaofei Huang, Guanbin Li, Jizhong Han, Yunchao Wei, Bo Li, Luoqi Liu, Zihan Ding, Xiaoming Wei and Bo Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

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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