Xiu Yang

76 papers receiving 1.2k citations

Peers

Xiu Yang
Comparison fields: 5 of 114
  • Computational Mathematics 40
  • Statistics, Probability and Uncertainty 336
  • Modeling and Simulation 142
  • Numerical Analysis 97
  • Statistical and Nonlinear Physics 202
Replace Francisco Chinesta with:
Francisco Chinesta France
Stefano De Marchı Italy
Shaoqiang Tang China
Muruhan Rathinam United States
Nicholas Hale South Africa
Xiaozhe Hu United States
Lixing Han United States
Qianxiao Li Singapore
Shu Wang China
Binghui Guo China
Xiu Yang relative to Francisco Chinesta France Francisco Chinesta's profile →
Citations per field
00.5×5×10.1×
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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011103
2 201382
3 201478
4 201970
5 201768
6 201758
7 201650
8 201643
9 201540
10 202135
11 202335
12 201528
13 202028
14 201026
15 202224
16 201724
17 202023
18 201423
19 202320
20 201620

About Xiu Yang

Xiu Yang is a scholar working on Statistics, Probability and Uncertainty, Modeling and Simulation, Numerical Analysis, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (17 papers), Quantum Computing Algorithms and Architecture (8 papers), Model Reduction and Neural Networks (8 papers), Fractional Differential Equations Solutions (7 papers), Gaussian Processes and Bayesian Inference (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Quantum Information and Cryptography (5 papers) and Optimal Power Flow Distribution (5 papers). The work is most often cited by research in Computational Mathematics (40 citations), Statistics, Probability and Uncertainty (336 citations), Modeling and Simulation (142 citations), Numerical Analysis (97 citations) and Statistical and Nonlinear Physics (202 citations). Xiu Yang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include George Em Karniadakis, Xiaoyun Jiang, Guang Zhu Lin, Haitao Qi, Hui Zhang, Minseok Choi, Alexandre M. Tartakovsky, G. Tartakovsky, Luca Daniel and Zheng Zhang. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing, IET Generation Transmission & Distribution, Journal of Scientific Computing and Applied Mathematics Letters.

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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