Yueting Yang

595 citations
76 papers · 419 · h-index 12

Impact in

Papers in

    • Advanced Optimization Algorithms Research 22
    • Iterative Methods for Nonlinear Equations 14
    • Sparse and Compressive Sensing Techniques 10
    • Advanced Numerical Analysis Techniques 5

Yueting Yang

68 papers receiving 406 citations

Peers

Yueting Yang
Comparison fields: 5 of 88
  • Computational Mathematics 11
  • Numerical Analysis 71
  • General Engineering 6
  • Computational Theory and Mathematics 73
  • Computational Mechanics 74
Replace Paolo Lino with:
Paolo Lino Italy
Hui Guo China
Bryn Jones United Kingdom
Frédéric Bourquin France
Zhibao Zheng China
Ruixue Liu China
Umberto Iemma Italy
Wagner F. Sacco Brazil
Marcus Meyer Germany
Yueting Yang relative to Paolo Lino Italy Paolo Lino's profile →
Citations per field
00.5×6.2×
Paolo Lino · 1×
Citations per year

Countries citing papers authored by Yueting Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yueting Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202233
2 202030
3 202026
4 201820
5 201520
6 201719
7 201717
8 200617
9 201917
10 201516
11 202211
12 201611
13 200611
14 202210
15 20189
16 20218
17 20218
18 20258
19 20207
20 20207

About Yueting Yang

Yueting Yang is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Mechanical Engineering and Civil and Structural Engineering, having authored 76 papers that have together received 419 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (22 papers), Iterative Methods for Nonlinear Equations (14 papers), Sparse and Compressive Sensing Techniques (10 papers), Railway Engineering and Dynamics (10 papers), Matrix Theory and Algorithms (8 papers), Optimization and Variational Analysis (7 papers), Infrastructure Maintenance and Monitoring (6 papers) and Advanced Numerical Analysis Techniques (5 papers). The work is most often cited by research in Computational Mathematics (11 citations), Numerical Analysis (71 citations), General Engineering (6 citations), Computational Theory and Mathematics (73 citations) and Computational Mechanics (74 citations). Yueting Yang has collaborated with scholars based in China, South Korea and Australia. Frequent co-authors include Bing Yi, Wei Zeng, Gil Ho Yoon, Wensheng Qiu, Wenlong Liu, Di Lin, Yi Han, Yan Sun, Yuting Chen and Chengyang Xu. Their work appears in journals such as Numerical Algorithms, Journal of Inequalities and Applications, Abstract and Applied Analysis, Journal of Central South University and Communications in Mathematical Sciences.

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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