Yuxiang Yang

402 total citations
23 papers, 170 citations indexed

About

Yuxiang Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Yuxiang Yang has authored 23 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Yuxiang Yang's work include Video Surveillance and Tracking Methods (6 papers), Fire Detection and Safety Systems (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Yuxiang Yang is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Fire Detection and Safety Systems (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Yuxiang Yang collaborates with scholars based in China, United States and Singapore. Yuxiang Yang's co-authors include Weiwei Xing, Jie Tan, Krzysztof Choromański, Wenbo Gao, Xingyou Song, Ken Caluwaerts, Chelsea Finn, Qi Yu, Shunli Zhang and Changjun Liu and has published in prestigious journals such as ACS Catalysis, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Yuxiang Yang

23 papers receiving 167 citations

Peers

Yuxiang Yang
Comparison fields: 5 of 52
  • Artificial Intelligence 57
  • Computer Vision and Pattern Recognition 56
  • Catalysis 25
  • Materials Chemistry 23
  • Aerospace Engineering 21
Replace Yonghao He with:
Yonghao He China
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Ahmed Fawzy Gad Egypt
Jameel Ahmed Bhutto China
Junhua Mao United States
Bradly C. Stadie United States
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Yonghao He China View profile →
Citations per field, relative to Yuxiang Yang
Yuxiang Yang · 1×
Citations per year, relative to Yuxiang Yang
Yuxiang Yang · 1×

Countries citing papers authored by Yuxiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yuxiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxiang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxiang Yang. A scholar is included among the top collaborators of Yuxiang Yang 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 Yuxiang Yang. Yuxiang Yang 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
# Work Indexed citations
1 1
2 2
3 3
4 3
5 5
6 1
7 1
8 32
9 9
10 14
11 2
12
ES-MAML: Simple Hessian-Free Meta Learning
12
13 12
14 1
15 36
16 3
17 8
18 1
19 2
20 16

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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