Yuxin Chen

4.2k total citations · 2 hit papers
107 papers, 1.7k citations indexed

About

Yuxin Chen is a scholar working on Computational Mechanics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yuxin Chen has authored 107 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Mechanics, 28 papers in Artificial Intelligence and 26 papers in Computer Networks and Communications. Recurrent topics in Yuxin Chen's work include Sparse and Compressive Sensing Techniques (25 papers), Blind Source Separation Techniques (11 papers) and Reinforcement Learning in Robotics (10 papers). Yuxin Chen is often cited by papers focused on Sparse and Compressive Sensing Techniques (25 papers), Blind Source Separation Techniques (11 papers) and Reinforcement Learning in Robotics (10 papers). Yuxin Chen collaborates with scholars based in United States, China and Israel. Yuxin Chen's co-authors include Yuejie Chi, Yue M. Lu, Andrea Goldsmith, Cong Ma, Jianqing Fan, Yuling Yan, Kaizheng Wang, Sha Yang, Charles R. Sullivan and Haoran Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Journal of the American Statistical Association.

In The Last Decade

Yuxin Chen

94 papers receiving 1.7k citations

Hit Papers

Nonconvex Optimization Meets Low-Rank Matrix Factorizatio... 2019 2026 2021 2023 2019 2024 50 100 150 200

Peers

Yuxin Chen
Clayton Scott United States
Caihua Chen United States
Yeung Yam Hong Kong
Jianhua Z. Huang United States
Hans Sagan United States
Kun Yuan China
Le Song United States
Yong Lee Japan
Clayton Scott United States
Yuxin Chen
Citations per year, relative to Yuxin Chen Yuxin Chen (= 1×) peers Clayton Scott

Countries citing papers authored by Yuxin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuxin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxin Chen. A scholar is included among the top collaborators of Yuxin Chen 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 Yuxin Chen. Yuxin Chen 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
2.
Ferreira, Rodrigo José Pires, Rui Ding, Fengxue Zhang, et al.. (2025). Expediting field-effect transistor chemical sensor design with neuromorphic spiking graph neural networks. Molecular Systems Design & Engineering. 10(5). 345–356. 1 indexed citations
3.
Tang, Hongying, et al.. (2025). Electro-mechanical multi-branch channel driven by higher-order topological rainbow. Mechanics of Advanced Materials and Structures. 1–12. 1 indexed citations
4.
Wang, Bowen, Hao Lin, Can Yang, et al.. (2024). Combustion and heat transfer characteristics of a heavy-duty low-pressure-direct-injection hydrogen engine with a flat-roof-and-shallow-bowl combustion chamber. International Journal of Hydrogen Energy. 96. 597–611. 1 indexed citations
5.
Yan, Yuling, Yuxin Chen, & Jianqing Fan. (2024). Inference for heteroskedastic PCA with missing data. The Annals of Statistics. 52(2). 5 indexed citations
6.
Wang, Bowen, Can Yang, Yuxin Chen, et al.. (2024). Combustion and emissions of an ammonia heavy-duty engine with a hydrogen-fueled active pre-chamber ignition system. International Journal of Hydrogen Energy. 90. 419–430. 18 indexed citations
7.
Chen, Yuxin & Junchao Ren. (2024). Sliding Mode Tracking Control of Nonlinear Discrete-Time T–S Fuzzy Multi-agent Systems with Time-Delays: A Preview Signal Approach. International Journal of Fuzzy Systems. 26(4). 1383–1398.
8.
Chen, Yuxin & Wei Chen. (2024). Association between malnutrition status and total joint arthroplasty periprosthetic joint infection and surgical site infection: a systematic review meta-analysis. Journal of Orthopaedic Surgery and Research. 19(1). 660–660. 2 indexed citations
9.
Ding, Rui, Junhong Chen, Yuxin Chen, et al.. (2024). Unlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation. Chemical Society Reviews. 53(23). 11390–11461. 89 indexed citations breakdown →
10.
Chen, Yuxin, et al.. (2023). Online learning of energy consumption for navigation of electric vehicles. Artificial Intelligence. 317. 103879–103879. 4 indexed citations
11.
Serrano, Diego, Haoran Li, Shukai Wang, et al.. (2023). Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics. IEEE Transactions on Power Electronics. 38(11). 14292–14316. 47 indexed citations
12.
Li, Haoran, Diego Serrano, Thomas Guillod, et al.. (2023). How MagNet: Machine Learning Framework for Modeling Power Magnetic Material Characteristics. IEEE Transactions on Power Electronics. 38(12). 15829–15853. 37 indexed citations
13.
Li, Gen, et al.. (2023). Softmax policy gradient methods can take exponential time to converge. Mathematical Programming. 201(1-2). 707–802.
14.
Poor, H. Vincent, et al.. (2022). Uncertainty Quantification for Nonconvex Tensor Completion: Confidence Intervals, Heteroscedasticity and Optimality. IEEE Transactions on Information Theory. 69(1). 407–452. 11 indexed citations
15.
Li, Gen, et al.. (2021). Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. arXiv (Cornell University). 6296–6306. 4 indexed citations
16.
Ma, Cong, et al.. (2021). Learning Mixtures of Low-Rank Models. IEEE Transactions on Information Theory. 67(7). 4613–4636. 6 indexed citations
17.
Chen, Yuxin, Cheng Chen, & Jianqing Fan. (2021). Asymmetry helps: Eigenvalue and eigenvector analyses of asymmetrically perturbed low-rank matrices. The Annals of Statistics. 49(1). 435–458. 7 indexed citations
18.
Chen, Yuxin, et al.. (2019). A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. CaltechAUTHORS (California Institute of Technology). 8 indexed citations
19.
Zhu, Yanzi, et al.. (2018). Adversarial WiFi Sensing.. arXiv (Cornell University). 5 indexed citations
20.
Chib, Siddhartha, Edward Greenberg, & Yuxin Chen. (1998). MCMC Methods for Fitting and Comparing Multinomial Response Models. SSRN Electronic Journal. 22 indexed citations

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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