Shuxing Yang

966 citations
42 papers · 750 · h-index 17

Impact in

Papers in

Shuxing Yang

38 papers receiving 738 citations

Peers

Shuxing Yang
Comparison fields: 5 of 55
  • Statistics, Probability and Uncertainty 244
  • Aerospace Engineering 383
  • Computational Mathematics 6
  • Computational Theory and Mathematics 156
  • Statistical and Nonlinear Physics 100
Replace Fenfen Xiong with:
Fenfen Xiong China
Clyde Gumbert United States
Domenico Spina Belgium
Igor Simone Stievano Italy
Arthur C. Taylor United States
Laura Mainini Italy
Masahiro Kanazaki Japan
Utz Wever Germany
Riccardo Trinchero Italy
Hua Yang China
Shuxing Yang relative to Fenfen Xiong China Fenfen Xiong's profile →
Citations per field
00.5×
Fenfen Xiong · 1×
Citations per year

Countries citing papers authored by Shuxing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shuxing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shuxing 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 Shuxing Yang Line = papers co-authored together Shuxing Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009107
2 202061
3 201045
4 201744
5 201242
6 201941
7 201038
8 201636
9 201136
10 201329
11 201327
12 201124
13 201923
14 201222
15 201522
16 200720
17 200917
18 201716
19 201915
20 201912

About Shuxing Yang

Shuxing Yang is a scholar working on Aerospace Engineering, Statistics, Probability and Uncertainty, Control and Systems Engineering, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 42 papers that have together received 750 indexed citations. Recurring topics across this work include Guidance and Control Systems (22 papers), Probabilistic and Robust Engineering Design (12 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Military Defense Systems Analysis (6 papers), Adaptive Control of Nonlinear Systems (5 papers), Quantum chaos and dynamical systems (5 papers), Structural Response to Dynamic Loads (4 papers) and Computational Fluid Dynamics and Aerodynamics (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (244 citations), Aerospace Engineering (383 citations), Computational Mathematics (6 citations), Computational Theory and Mathematics (156 citations) and Statistical and Nonlinear Physics (100 citations). Shuxing Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fenfen Xiong, Wei Chen, Ying Xiong, Liangyu Zhao, Steven L. Greene, Keyong Li, Zhen Ming Jiang, Shishi Chen, Xuerui Mao and Yong Xu. Their work appears in journals such as Aerospace Science and Technology, Chinese Journal of Aeronautics, Journal of Guidance Control and Dynamics, Structural and Multidisciplinary Optimization and Journal of Aerospace Engineering.

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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