Xiao Tan

2.5k citations
62 papers · 1.1k indexed · h-index 20
Topics
Advanced Neural Network Applications (27 papers)Advanced Image and Video Retrieval Techniques (16 papers)Advanced Vision and Imaging (15 papers)
Partner nations
ChinaAustraliaHong Kong

In The Last Decade

Xiao Tan

57 papers receiving 1.0k citations

Peers

Xiao Tan
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 921
  • Aerospace Engineering 236
  • Artificial Intelligence 223
  • Automotive Engineering 116
  • Media Technology 107
Replace Xingyu Zeng with:
Xingyu Zeng Hong Kong
Vijay John Japan
Claudius Gläser Germany
Senthil Yogamani France
Raoul de Charette France
Yuning Chai United States
Heinz Hertlein United Kingdom
Tengteng Huang China
Xinjing Cheng China
Xiao Tan relative to Xingyu Zeng Hong Kong Xingyu Zeng's profile →
Citations per field
00.5×1.5×2.3×
Xingyu Zeng · 1×
Citations per year

Countries citing papers authored by Xiao Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Tan. A scholar is included among the top collaborators of Xiao Tan 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 Xiao Tan. Xiao Tan 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 0
3 8
4 7
5 2
6 1
7 8
8 12
9 34
10 0
11 0
12 17
13 40
14
Multi-camera vehicle tracking and re-identification based on visual and spatial-temporal features
23
15 131
16 6
17 3
18 2
19 25
20 1

About Xiao Tan

Xiao Tan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (27 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Vision and Imaging (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (921 citations), Media Technology (107 citations) and Automotive Engineering (116 citations). Xiao Tan has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Errui Ding, Xiaoqing Ye, Shilei Wen, Liang Du, Zhenbo Xu, Yuchen Yuan, Changming Sun, Wangmeng Zuo, Jianfeng Feng and Zhaoyi Yan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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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