Chun-Ming Yuan

730 citations
33 papers · 520 indexed · h-index 13
Topics
Polynomial and algebraic computation (18 papers)Advanced Numerical Analysis Techniques (18 papers)Advanced machining processes and optimization (8 papers)
Partner nations
ChinaSpainJapan

In The Last Decade

Chun-Ming Yuan

31 papers receiving 509 citations

Peers

Chun-Ming Yuan
Comparison fields: 5 of 36
  • Computational Mechanics 330
  • Control and Systems Engineering 249
  • Mechanical Engineering 244
  • Computational Theory and Mathematics 101
  • Industrial and Manufacturing Engineering 100
Replace András Recski with:
András Recski Hungary
C.W.J. Hol Netherlands
Ke Guo China
Xu-Guang Li China
Marcus Reble Germany
Mohamed Mabrouk Tunisia
Bogdan Marinescu France
Zhiwei Yang China
Weehong Tan United States
Laicheng Yan China
Chun-Ming Yuan relative to András Recski Hungary András Recski's profile →
Citations per field
00.5×10×20×33×
András Recski · 1×
Citations per year

Countries citing papers authored by Chun-Ming Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Ming Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Ming Yuan. 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 Chun-Ming Yuan. The network helps show where Chun-Ming Yuan may publish in the future.

Co-authorship network of co-authors of Chun-Ming Yuan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 2
4 1
5 0
6
Quantum Algorithms for Optimization and Polynomial Systems Solving over Finite Fields.
1
7 31
8 0
9 5
10 41
11 10
12 52
13 3
14 16
15 3
16 67
17
Intersection Theory for Generic Differential Polynomials and Differential Chow Form
2
18 17
19 20
20 4

About Chun-Ming Yuan

Chun-Ming Yuan is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Algebra and Number Theory, having authored 33 papers that have together received 520 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (18 papers), Advanced Numerical Analysis Techniques (18 papers) and Advanced machining processes and optimization (8 papers). The work is most often cited by research in Computational Mechanics (330 citations), Control and Systems Engineering (249 citations) and Industrial and Manufacturing Engineering (100 citations). Chun-Ming Yuan has collaborated with scholars based in China, Spain and Japan. Frequent co-authors include Xiao-Shan Gao, Li‐Yong Shen, Wei Fan, Ke Zhang, Wei Yan, Hongbo Li, Ke Zhang, Zhengyuan Yang, Xiaohui Ma and Yong Luo. Their work appears in journals such as Transactions of the American Mathematical Society, The International Journal of Advanced Manufacturing Technology and Journal of Computational and Applied Mathematics.

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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