Xiaoyu Tao

1.5k citations
28 papers · 801 indexed · 1 hit paper · h-index 15
Topics
Domain Adaptation and Few-Shot Learning (9 papers)Advanced Image and Video Retrieval Techniques (7 papers)Multimodal Machine Learning Applications (7 papers)

In The Last Decade

Xiaoyu Tao

25 papers receiving 787 citations

Hit Papers

Few-Shot Class-Incremental Learning2020202620222024202050100150200250

Peers

Xiaoyu Tao
Comparison fields: 5 of 116
  • Artificial Intelligence 441
  • Computer Vision and Pattern Recognition 376
  • Radiology, Nuclear Medicine and Imaging 68
  • Electrical and Electronic Engineering 61
  • Media Technology 53
Replace Junge Zhang with:
Junge Zhang China
Shanshan Wang China
Hexiang Hu United States
Junyu Gao China
Kai Zhu China
Yen‐Cheng Liu Taiwan
Jingwen Ye China
Mobeen Ur Rehman South Korea
Sami Dhahbi Saudi Arabia
Xiaoyu Tao relative to Junge Zhang China Junge Zhang's profile →
Citations per field
00.5×1.5×2.3×
Junge Zhang · 1×
Citations per year

Countries citing papers authored by Xiaoyu Tao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyu Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Tao. A scholar is included among the top collaborators of Xiaoyu Tao 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 Xiaoyu Tao. Xiaoyu Tao 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 3
4 35
5 15
6 2
7 2
8 1
9 1
10 6
11 96
12 14
13 21
14 16
15 17
16 46
17 22
18 9
19 62
20 2

About Xiaoyu Tao

Xiaoyu Tao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 28 papers that have together received 801 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (9 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Multimodal Machine Learning Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (376 citations), Artificial Intelligence (441 citations) and Media Technology (53 citations). Xiaoyu Tao has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Yihong Gong, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Nanning Zheng, Weiwei Shi, Jinjun Wang, Baizeng Fang and De Cheng. Their work appears in journals such as ACS Nano, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

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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