Yichen Xu
Impact in
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- Industrial Vision Systems and Defect Detection
Papers in
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- Logic, programming, and type systems 3
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- Distributed systems and fault tolerance 2
- Co-authors
- Martin Odersky (3 shared papers)Lizhong Wang (1 shared paper)Mingyi Zhang (1 shared paper)Yaoyu Chen (1 shared paper)Xinyuan Zhang (1 shared paper)Yanqiao Zhu (1 shared paper)Qiang Liu (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)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)
- Partner nations
- ChinaSwitzerlandHong Kong
In The Last Decade
Yichen Xu
10 papers receiving 26 citations
Peers
Comparison fields: 5 of 21
- Industrial and Manufacturing Engineering 7
- Software 2
- Computer Vision and Pattern Recognition 8
- Computational Theory and Mathematics 5
- Artificial Intelligence 9
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 | 2022 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2020 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2021 | 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 27 indexed citations. Recurring topics across this work include Logic, programming, and type systems (3 papers), Parallel Computing and Optimization Techniques (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Formal Methods in Verification (2 papers), Distributed systems and fault tolerance (2 papers), Image Processing Techniques and Applications (2 papers), Web Data Mining and Analysis (1 paper) and Hand Gesture Recognition Systems (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), Computational Theory and Mathematics (5 citations) and Artificial Intelligence (9 citations). Yichen Xu has collaborated with scholars based in China, Switzerland and Hong Kong. Frequent co-authors include Martin Odersky, Lizhong Wang, Mingyi Zhang, Yaoyu Chen, Xinyuan Zhang, Yanqiao Zhu, Qiang Liu, Lizhong Wang, Feng Yu and Shu Wu. 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, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.