Chao Xue

588 citations
29 papers · 353 indexed · h-index 11
Topics
Reinforcement Learning in Robotics (5 papers)Adversarial Robustness in Machine Learning (4 papers)Domain Adaptation and Few-Shot Learning (4 papers)

In The Last Decade

Chao Xue

28 papers receiving 346 citations

Peers

Chao Xue
Comparison fields: 5 of 82
  • Artificial Intelligence 127
  • Computer Vision and Pattern Recognition 83
  • Plant Science 83
  • Computer Networks and Communications 31
  • Information Systems 29
Replace Ricardo J. Barrientos with:
Ricardo J. Barrientos Chile
Tarik Nahhal Morocco
Manel Ayadi Saudi Arabia
Szymon Łukasik Poland
Murilo Coelho Naldi Brazil
Ali Alqahtani Saudi Arabia
Honge Ren China
Vijaya R. Thool India
Azeddine Elhassouny Morocco
Carlos de Oliveira Affonso Brazil
Chao Xue relative to Ricardo J. Barrientos Chile Ricardo J. Barrientos's profile →
Citations per field
00.5×1.5×
Ricardo J. Barrientos · 1×
Citations per year

Countries citing papers authored by Chao Xue

Since Specialization
Citations

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

Fields of papers citing papers by Chao Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Xue. A scholar is included among the top collaborators of Chao Xue 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 Chao Xue. Chao Xue 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 2
2 2
3 1
4 0
5 5
6 1
7 6
8 2
9 14
10
Universal Semi-Supervised Learning
6
11 12
12 8
13 3
14 9
15 14
16 4
17 101
18 27
19 17
20 1

About Chao Xue

Chao Xue is a scholar working on Artificial Intelligence, Transportation and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 353 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (83 citations), Artificial Intelligence (127 citations) and Industrial and Manufacturing Engineering (28 citations). Chao Xue has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuanyuan Shao, Hongxing Peng, Keyin Chen, Zhihua Xie, Juntao Xiong, Junchi Yan, Xiaoxing Wang, Xiaokang Yang, Yongfeng Ju and Yonghua Lin. Their work appears in journals such as IEEE Access, Pattern Recognition and Sustainability.

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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