Yichen Xu
Impact in
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- Industrial Vision Systems and Defect Detection
- Vehicle Routing Optimization Methods
Papers in
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- Logic, programming, and type systems 3
- Data Stream Mining Techniques 1
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- Distributed systems and fault tolerance 2
- Co-authors
- Martin Odersky (3 shared papers)Yaoyu Chen (1 shared paper)Lizhong Wang (1 shared paper)Xinyuan Zhang (1 shared paper)Mingyi Zhang (1 shared paper)Shu Wu (1 shared paper)Yanqiao Zhu (1 shared paper)Feng Yu (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (3 papers)ACM Transactions on Intelligent Systems and Technology (1 paper)Journal of Physics Conference Series (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- ChinaSwitzerlandAustralia
In The Last Decade
Yichen Xu
10 papers receiving 25 citations
Peers
Comparison fields: 5 of 21
- Industrial and Manufacturing Engineering 7
- Software 2
- Computer Vision and Pattern Recognition 8
- Information Systems 6
- Computational Theory and Mathematics 4
Countries citing papers authored by Yichen Xu
This map shows the geographic impact of Yichen Xu'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 Yichen Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Xu more than expected).
Fields of papers citing papers by Yichen Xu
This network shows the impact of papers produced by Yichen Xu. 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 Yichen Xu. The network helps show where Yichen Xu may publish in the future.
Co-authors
The 10 scholars most cited alongside Yichen Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 5 | |
| 2 | 2021 | 5 | |
| 3 | 2016 | 5 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Yichen Xu
Yichen Xu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Industrial and Manufacturing Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 26 indexed citations. Recurring topics across this work include Logic, programming, and type systems (3 papers), Distributed systems and fault tolerance (2 papers), Image Processing Techniques and Applications (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Parallel Computing and Optimization Techniques (2 papers), Formal Methods in Verification (2 papers), Complex Network Analysis Techniques (1 paper) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (7 citations), Software (2 citations), Computer Vision and Pattern Recognition (8 citations), Information Systems (6 citations) and Computational Theory and Mathematics (4 citations). Yichen Xu has collaborated with scholars based in China, Switzerland and Australia. Frequent co-authors include Martin Odersky, Yaoyu Chen, Lizhong Wang, Xinyuan Zhang, Mingyi Zhang, Shu Wu, Lizhong Wang, Yanqiao Zhu, Feng Yu and Qiang Liu. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM Transactions on Intelligent Systems and Technology, Journal of Physics Conference Series, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.