Xiu Yang

1.4k total citations
59 papers, 954 citations indexed

About

Xiu Yang is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xiu Yang has authored 59 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics, Probability and Uncertainty, 13 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Xiu Yang's work include Probabilistic and Robust Engineering Design (17 papers), Model Reduction and Neural Networks (8 papers) and Fractional Differential Equations Solutions (7 papers). Xiu Yang is often cited by papers focused on Probabilistic and Robust Engineering Design (17 papers), Model Reduction and Neural Networks (8 papers) and Fractional Differential Equations Solutions (7 papers). Xiu Yang collaborates with scholars based in United States, China and Russia. Xiu Yang's co-authors include George Em Karniadakis, Xiaoyun Jiang, Guang Lin, Hui Zhang, Haitao Qi, Alexandre M. Tartakovsky, G. Tartakovsky, David A. Barajas‐Solano, Zheng Zhang and Luca Daniel and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Geophysical Research Atmospheres and ACS Nano.

In The Last Decade

Xiu Yang

52 papers receiving 910 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiu Yang United States	18	293	186	175	137	135	59	954
Apostolos F. Psaros United States	13	315 1.1×	148 0.8×	255 1.5×	31 0.2×	77 0.6×	17	675
Stefano De Marchı Italy	22	95 0.3×	81 0.4×	144 0.8×	115 0.8×	545 4.0×	108	1.4k
Shaoqiang Tang China	21	46 0.2×	103 0.6×	242 1.4×	185 1.4×	346 2.6×	103	1.4k
Bing Yu China	4	119 0.4×	51 0.3×	655 3.7×	47 0.3×	293 2.2×	9	848
Xiaofan Li United States	20	62 0.2×	191 1.0×	257 1.5×	76 0.6×	355 2.6×	86	1.3k
K. Sobczyk Poland	19	521 1.8×	42 0.2×	165 0.9×	72 0.5×	57 0.4×	59	1.3k
T. Tran‐Cong Australia	25	60 0.2×	328 1.8×	251 1.4×	185 1.4×	1.0k 7.6×	141	2.4k
Ben Blackwell United States	8	121 0.4×	180 1.0×	103 0.6×	23 0.2×	544 4.0×	11	1.7k
N. Mai‐Duy Australia	24	45 0.2×	143 0.8×	261 1.5×	241 1.8×	1.0k 7.4×	124	2.0k
Yingjie Liang China	18	58 0.2×	103 0.6×	232 1.3×	469 3.4×	59 0.4×	74	1000

Countries citing papers authored by Xiu Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xiu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiu Yang. A scholar is included among the top collaborators of Xiu Yang 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 Xiu Yang. Xiu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yang, Xiu, et al.. (2025). Gaussian Process Regression with Soft Equality Constraints. Mathematics. 13(3). 353–353.

Yang, Xiu, Zhengchao Zhang, Hanlin Chen, et al.. (2024). Identification and experimental validation of programmed cell death- and mitochondria-associated biomarkers in osteoporosis and immune microenvironment. Frontiers in Genetics. 15. 1439171–1439171. 1 indexed citations

Gao, Peiyuan, et al.. (2024). Machine learning for the redox potential prediction of molecules in organic redox flow battery. Journal of Power Sources. 629. 236035–236035. 4 indexed citations

Qiao, Yanli, Xiu Yang, Huanying Xu, & Haitao Qi. (2024). Numerical analysis of two-dimensional MHD flow and heat transfer of generalized Maxwell fluid through a rectangular pipe. International Journal of Heat and Fluid Flow. 106. 109303–109303. 14 indexed citations

Peng, Bo, et al.. (2024). Unleashed from constrained optimization: quantum computing for quantum chemistry employing generator coordinate inspired method. npj Quantum Information. 10(1).

Yang, Xiu, et al.. (2024). Efficient metamodeling and uncertainty propagation for rotor systems by sparse polynomial chaos expansion. Probabilistic Engineering Mechanics. 79. 103723–103723. 5 indexed citations

Yang, Xiu, et al.. (2024). The Sparse-Grid-Based Adaptive Spectral Koopman Method. SIAM Journal on Scientific Computing. 46(5). A2925–A2950. 1 indexed citations

Yang, Xiu, et al.. (2024). Koopman Spectral Linearization vs. Carleman Linearization: A Computational Comparison Study. Mathematics. 12(14). 2156–2156. 2 indexed citations

Hu, Mengqi, Yifei Lou, Bao Wang, et al.. (2023). Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. Journal of Scientific Computing. 95(1). 2 indexed citations

10.

Yang, Xiu, et al.. (2023). An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization. Entropy. 25(2). 330–330. 6 indexed citations

11.

Peng, Bo, et al.. (2023). Quantum algorithms for generator coordinate methods. Physical Review Research. 5(2). 4 indexed citations

12.

Yang, Xiu, et al.. (2023). Simulation‐data‐driven load disaggregation based on multi‐channel neural network for industrial and commercial users. IET Generation Transmission & Distribution. 17(7). 1652–1662. 2 indexed citations

13.

Chen, Yajie, et al.. (2022). A Model-driven Approach to the Identification of Distribution Network Line Parameters. 31. 167–171. 2 indexed citations

14.

Shen, Bing, et al.. (2022). Research on the Morphological Development of New Distribution Networks. 41. 143–149.

15.

Wang, Xiaoping, Haitao Qi, Xiu Yang, & Huanying Xu. (2021). Analysis of the time-space fractional bioheat transfer equation for biological tissues during laser irradiation. International Journal of Heat and Mass Transfer. 177. 121555–121555. 27 indexed citations

16.

Yang, Xiu & Xiaoyun Jiang. (2019). Numerical algorithm for two dimensional fractional Stokes’ first problem for a heated generalized second grade fluid with smooth and non-smooth solution. Computers & Mathematics with Applications. 78(5). 1562–1571. 15 indexed citations

17.

Yang, Xiu, Xiaoyun Jiang, & Hui Zhang. (2019). Finite difference spectral approximation for the time‐space fractional telegraph equation and its parameter estimation. Mathematical Methods in the Applied Sciences. 42(18). 6475–6489. 2 indexed citations

18.

Zhang, Yong, Fang Chen, Taijie Li, Xiu Yang, & Meixia Zhang. (2018). Research on Short-term Load Forecast of Shopping Mall Based on Similar Day Selection and BP Neural Network. DEStech Transactions on Engineering and Technology Research. 1 indexed citations

19.

Yang, Xiu, Haitao Qi, & Xiaoyun Jiang. (2017). Numerical analysis for electroosmotic flow of fractional Maxwell fluids. Applied Mathematics Letters. 78. 1–8. 57 indexed citations

20.

He, Lei, Xiu Yang, Bo Zheng, Grace Lin, & Nathan Baker. (2015). Constructing Surrogate Models of Complex Systems with Enhanced Sparsity: Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation. Multiscale Modeling and Simulation. 13(4). 1327–1353. 26 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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