Yuexuan An
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering
- Computational Theory and Mathematics
- Electrical and Electronic Engineering
- Co-authors
- Shifei DingXingyu ZhaoXiekai ZhangYu XueHui XueWeikuan JiaXin GengJing Wang
- Topics
- Machine Learning and ELM (8 papers)Text and Document Classification Technologies (7 papers)Domain Adaptation and Few-Shot Learning (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceControl and Systems Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- China
In The Last Decade
Yuexuan An
20 papers receiving 369 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 223
- Computer Vision and Pattern Recognition 152
- Control and Systems Engineering 62
- Computational Theory and Mathematics 29
- Electrical and Electronic Engineering 24
Countries citing papers authored by Yuexuan An
This map shows the geographic impact of Yuexuan An'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 Yuexuan An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuexuan An more than expected).
Fields of papers citing papers by Yuexuan An
This network shows the impact of papers produced by Yuexuan An. 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 Yuexuan An. The network helps show where Yuexuan An may publish in the future.
Co-authorship network of co-authors of Yuexuan An
This figure shows the co-authorship network connecting the top 25 collaborators of Yuexuan An. A scholar is included among the top collaborators of Yuexuan An 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 Yuexuan An. Yuexuan An is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 25 | |
| 11 | 21 | |
| 12 | 10 | |
| 13 | 21 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | Multiple Birth Support Vector Machine with Triplet Loss Function. | 2 |
| 17 | 34 | |
| 18 | 31 | |
| 19 | 67 | |
| 20 | 60 |
About Yuexuan An
Yuexuan An is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 22 papers that have together received 372 indexed citations. Recurring topics across this work include Machine Learning and ELM (8 papers), Text and Document Classification Technologies (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (152 citations), Artificial Intelligence (223 citations) and Control and Systems Engineering (62 citations). Yuexuan An has collaborated with scholars based in China. Frequent co-authors include Shifei Ding, Xingyu Zhao, Xiekai Zhang, Yu Xue, Hui Xue, Weikuan Jia, Xin Geng, Jing Wang, Ning Xu and Lu Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 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.