Xiu Yang

1.4k citations
58 papers · 980 · h-index 19

Impact in

Papers in

Xiu Yang

51 papers receiving 945 citations

Peers

Xiu Yang
Comparison fields: 5 of 95
  • Computational Mathematics 34
  • Statistics, Probability and Uncertainty 291
  • Modeling and Simulation 139
  • Numerical Analysis 84
  • Statistical and Nonlinear Physics 180
Replace Francisco Chinesta with:
Francisco Chinesta France
Shaoqiang Tang China
Bing Yu China
Stefano De Marchı Italy
Roland Herzog Germany
Nicholas Hale United Kingdom
Timothy N. Phillips United Kingdom
Shu Wang China
K. Sobczyk Poland
Mohsen Zayernouri United States
Xiu Yang relative to Francisco Chinesta France Francisco Chinesta's profile →
Citations per field
00.5×9.3×
Francisco Chinesta · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiu Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiu Yang Line = papers co-authored together Xiu Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201199
2 201473
3 201373
4 201967
5 201766
6 201758
7 201648
8 201641
9 201533
10 202332
11 202131
12 201526
13 202024
14 202024
15 201723
16 201023
17 201819
18 202118
19 201618
20 202417

About Xiu Yang

Xiu Yang is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Computational Mechanics, having authored 58 papers that have together received 980 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (16 papers), Model Reduction and Neural Networks (8 papers), Fractional Differential Equations Solutions (7 papers), Gaussian Processes and Bayesian Inference (6 papers), Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (5 papers), Optimal Power Flow Distribution (5 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). The work is most often cited by research in Computational Mathematics (34 citations), Statistics, Probability and Uncertainty (291 citations), Modeling and Simulation (139 citations), Numerical Analysis (84 citations) and Statistical and Nonlinear Physics (180 citations). Xiu Yang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include George Em Karniadakis, Xiaoyun Jiang, Guang Lin, Haitao Qi, Hui Zhang, Alexandre M. Tartakovsky, G. Tartakovsky, David A. Barajas‐Solano, Luca Daniel and Nathan Baker. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing, IET Generation Transmission & Distribution, Applied Mathematics Letters and SIAM Journal on Applied Dynamical Systems.

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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