Yuansi Chen
Impact in
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- 3D Surveying and Cultural Heritage
Papers in
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- Markov Chains and Monte Carlo Methods 4
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- Embedded Systems and FPGA Design 1
- Co-authors
- Zaïd Harchaoui (1 shared paper)Julien Mairal (1 shared paper)Ronen Eldan (2 shared papers)Jiepeng Liu (1 shared paper)Guozhong Cheng (1 shared paper)Biqin Dong (1 shared paper)Dongsheng Li (1 shared paper)Yan Zeng (1 shared paper)
- Journals
- IEEE Transactions on Biomedical Engineering (1 paper)Duke Mathematical Journal (1 paper)Automation in Construction (1 paper)Journal of Machine Learning Research (1 paper)Statistical Science (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Yuansi Chen
7 papers receiving 109 citations
Peers
Comparison fields: 5 of 50
- Computational Mathematics 2
- Geology 18
- Developmental Biology 7
- Statistics and Probability 23
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Yuansi Chen
This map shows the geographic impact of Yuansi Chen'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 Yuansi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuansi Chen more than expected).
Fields of papers citing papers by Yuansi Chen
This network shows the impact of papers produced by Yuansi Chen. 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 Yuansi Chen. The network helps show where Yuansi Chen may publish in the future.
Co-authors
The 19 scholars most cited alongside Yuansi Chen, 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 | 2014 | 57 | |
| 2 | 2022 | 23 | |
| 3 | 2022 | 19 | |
| 4 | 2020 | 6 | |
| 5 | 2017 | 5 | |
| 6 | 2025 | 2 | |
| 7 | Log-concave sampling: Metropolis-Hastings algorithms are fast | 2018 | 2 |
| 8 | 2026 | 0 | |
| 9 | 2025 | 0 | |
| 10 | 2016 | 0 |
About Yuansi Chen
Yuansi Chen is a scholar working on Statistics and Probability, Control and Systems Engineering, Artificial Intelligence, Civil and Structural Engineering and Mathematical Physics, having authored 10 papers that have together received 114 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (4 papers), Bayesian Methods and Mixture Models (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Face and Expression Recognition (1 paper), Stochastic processes and statistical mechanics (1 paper), Bayesian Modeling and Causal Inference (1 paper), Hydraulic and Pneumatic Systems (1 paper) and Embedded Systems and FPGA Design (1 paper). The work is most often cited by research in Computational Mathematics (2 citations), Geology (18 citations), Developmental Biology (7 citations), Statistics and Probability (23 citations) and Computer Vision and Pattern Recognition (35 citations). Yuansi Chen has collaborated with scholars based in United States, China and France. Frequent co-authors include Zaïd Harchaoui, Julien Mairal, Ronen Eldan, Jiepeng Liu, Guozhong Cheng, Biqin Dong, Dongsheng Li, Yan Zeng, Martin J. Wainwright and Peter Bühlmann. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Duke Mathematical Journal, Automation in Construction, Journal of Machine Learning Research and Statistical Science.
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.