Xueyu Zhu

911 total citations
44 papers, 577 citations indexed

About

Xueyu Zhu is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Xueyu Zhu has authored 44 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics, Probability and Uncertainty, 11 papers in Computational Mechanics and 11 papers in Computational Theory and Mathematics. Recurrent topics in Xueyu Zhu's work include Probabilistic and Robust Engineering Design (12 papers), Model Reduction and Neural Networks (8 papers) and Seismic Imaging and Inversion Techniques (7 papers). Xueyu Zhu is often cited by papers focused on Probabilistic and Robust Engineering Design (12 papers), Model Reduction and Neural Networks (8 papers) and Seismic Imaging and Inversion Techniques (7 papers). Xueyu Zhu collaborates with scholars based in United States, China and Sweden. Xueyu Zhu's co-authors include Dongbin Xiu, Jie Bao, Shi Jin, Yijie Zhang, Jinghuai Gao, Jan S. Hesthaven, Akil Narayan, Simin Li, Xiu Yang and Shun Zhang and has published in prestigious journals such as ACS Nano, Journal of Computational Physics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xueyu Zhu

41 papers receiving 545 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xueyu Zhu United States 16 142 123 109 107 87 44 577
Laurent Baratchart France 15 43 0.3× 97 0.8× 84 0.8× 117 1.1× 174 2.0× 80 795
Guofei Pang China 12 47 0.3× 219 1.8× 117 1.1× 48 0.4× 86 1.0× 25 738
Eric C. Cyr United States 14 40 0.3× 202 1.6× 407 3.7× 112 1.0× 124 1.4× 42 683
Catherine E. Powell United Kingdom 11 363 2.6× 130 1.1× 283 2.6× 60 0.6× 265 3.0× 29 691
James Willenbring United States 5 41 0.3× 47 0.4× 302 2.8× 119 1.1× 195 2.2× 14 782
Hessam Babaee United States 14 171 1.2× 281 2.3× 260 2.4× 36 0.3× 48 0.6× 45 654
Nikola Kovachki United States 8 35 0.2× 184 1.5× 97 0.9× 31 0.3× 41 0.5× 12 518
Hayden Schaeffer United States 12 227 1.6× 584 4.7× 259 2.4× 51 0.5× 66 0.8× 39 987
Roberto Armellin New Zealand 19 92 0.6× 180 1.5× 59 0.5× 34 0.3× 25 0.3× 152 1.3k
Matthew J. Colbrook United Kingdom 14 31 0.2× 152 1.2× 137 1.3× 23 0.2× 56 0.6× 36 500

Countries citing papers authored by Xueyu Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xueyu Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueyu Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Xueyu Zhu. A scholar is included among the top collaborators of Xueyu Zhu 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 Xueyu Zhu. Xueyu Zhu 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
1.
2.
Zhu, Xueyu, et al.. (2024). Uncertainty quantification for DeepONets with ensemble Kalman inversion. Journal of Computational Physics. 523. 113670–113670. 1 indexed citations
3.
Zhu, Xueyu, et al.. (2024). Efficient Bayesian Physics Informed Neural Networks for inverse problems via Ensemble Kalman Inversion. Journal of Computational Physics. 508. 113006–113006. 10 indexed citations
4.
Liu, Liu, et al.. (2024). Asymptotic-preserving neural networks for the semiconductor Boltzmann equation and its application on inverse problems. Journal of Computational Physics. 523. 113669–113669. 2 indexed citations
5.
Zhang, Yijie, et al.. (2024). Fully Convolutional Network-Enhanced DeepONet-Based Surrogate of Predicting the Travel-Time Fields. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 1 indexed citations
6.
Zhang, Yijie, et al.. (2024). Seismic traveltime tomography based on ensemble Kalman inversion. Geophysical Journal International. 240(1). 290–302.
7.
8.
Zhang, Longbin, et al.. (2023). Neuromusculoskeletal model-informed machine learning-based control of a knee exoskeleton with uncertainties quantification. Frontiers in Neuroscience. 17. 1254088–1254088. 2 indexed citations
9.
Zhang, Yijie, et al.. (2023). Bayesian Physics-Informed Neural Networks for the Subsurface Tomography Based on the Eikonal Equation. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 21 indexed citations
10.
Zhang, Longbin, Xueyu Zhu, Elena M. Gutierrez-Farewik, & Ruoli Wang. (2022). Ankle Joint Torque Prediction Using an NMS Solver Informed-ANN Model and Transfer Learning. IEEE Journal of Biomedical and Health Informatics. 26(12). 5895–5906. 15 indexed citations
11.
Liu, Liu, Lorenzo Pareschi, & Xueyu Zhu. (2022). A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs. Journal of Computational Physics. 462. 111252–111252. 6 indexed citations
12.
Bertaglia, Giulia, et al.. (2022). Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties. Networks and Heterogeneous Media. 17(3). 401–401. 7 indexed citations
13.
Yang, Xiu, Xueyu Zhu, & Jing Li. (2020). When Bifidelity Meets CoKriging: An Efficient Physics-Informed MultiFidelity Method. SIAM Journal on Scientific Computing. 42(1). A220–A249. 9 indexed citations
14.
Zhang, Yijie, Xueyu Zhu, & Jinghuai Gao. (2020). Parameter Estimation of Acoustic Wave Equations Using Hidden Physics Models. IEEE Transactions on Geoscience and Remote Sensing. 58(7). 4629–4639. 5 indexed citations
15.
Zhu, Xueyu, et al.. (2020). Denoising Autoencoder Aided Spectrum Reconstruction for Colloidal Quantum Dot Spectrometers. IEEE Sensors Journal. 21(5). 6450–6458. 28 indexed citations
16.
Narayan, Akil, et al.. (2019). An efficient solver for cumulative density function-based solutions of uncertain kinematic wave models. Journal of Computational Physics. 382. 138–151. 1 indexed citations
17.
Zhu, Xueyu & Dongbin Xiu. (2017). A Multi-Fidelity Collocation Method for Time-Dependent Parameterized Problems. 4 indexed citations
18.
Shahbazi, Khosro, Jan S. Hesthaven, & Xueyu Zhu. (2013). Multi-dimensional hybrid Fourier continuation–WENO solvers for conservation laws. Journal of Computational Physics. 253. 209–225. 13 indexed citations
19.
Yao, Jianquan, Xueyu Zhu, Baigang Zhang, et al.. (2006). Widely tunable, high-repetition-rate, dual signal-wave optical parametric oscillator by using two periodically poled crystals. Optics Communications. 272(1). 111–115. 12 indexed citations
20.
Zhao, Pu, Baigang Zhang, Enbang Li, et al.. (2006). Experimental study on a high conversion efficiency, low threshold, high-repetition-rate periodically poled lithium niobate optical parametric generator. Optics Express. 14(16). 7224–7224. 21 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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Breakdown of academic impact, for papers by Laurent Baratchart Breakdown of academic impact, for papers by Guofei Pang Breakdown of academic impact, for papers by Eric C. Cyr Breakdown of academic impact, for papers by Catherine E. Powell Breakdown of academic impact, for papers by James Willenbring Breakdown of academic impact, for papers by Hessam Babaee Breakdown of academic impact, for papers by Nikola Kovachki Breakdown of academic impact, for papers by Hayden Schaeffer Breakdown of academic impact, for papers by Roberto Armellin Breakdown of academic impact, for papers by Matthew J. Colbrook
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