Chun-Ming Yuan

50 total papers · 729 total citations
33 papers, 515 citations indexed

About

Chun-Ming Yuan is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Geometry and Topology. According to data from OpenAlex, Chun-Ming Yuan has authored 33 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 18 papers in Computational Theory and Mathematics and 9 papers in Geometry and Topology. Recurrent topics in Chun-Ming Yuan's work include Advanced Numerical Analysis Techniques (18 papers), Polynomial and algebraic computation (18 papers) and Advanced machining processes and optimization (8 papers). Chun-Ming Yuan is often cited by papers focused on Advanced Numerical Analysis Techniques (18 papers), Polynomial and algebraic computation (18 papers) and Advanced machining processes and optimization (8 papers). Chun-Ming Yuan collaborates with scholars based in China, Spain and Taiwan. Chun-Ming Yuan's 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 and has published in prestigious journals such as Transactions of the American Mathematical Society, The International Journal of Advanced Manufacturing Technology and Journal of Computational and Applied Mathematics.

In The Last Decade

Chun-Ming Yuan

31 papers receiving 503 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chun-Ming Yuan 328 248 242 101 99 33 515
Maria Lucia Sampoli 505 1.5× 30 0.1× 131 0.5× 86 0.9× 28 0.3× 43 557
J. Sánchez-Reyes 442 1.3× 66 0.3× 105 0.4× 42 0.4× 49 0.5× 46 537
Chongyang Deng 422 1.3× 66 0.3× 156 0.6× 77 0.8× 48 0.5× 53 533
Chanderjit L. Bajaj 409 1.2× 31 0.1× 51 0.2× 108 1.1× 44 0.4× 20 575
Xunnian Yang 354 1.1× 36 0.1× 147 0.6× 19 0.2× 51 0.5× 34 482
Francesca Pelosi 495 1.5× 20 0.1× 157 0.6× 120 1.2× 11 0.1× 35 530
Angelos Mantzaflaris 447 1.4× 15 0.1× 93 0.4× 185 1.8× 18 0.2× 36 527
R. Su 23 0.1× 428 1.7× 84 0.3× 17 0.2× 9 0.1× 20 510
Mark B. Milam 23 0.1× 335 1.4× 35 0.1× 24 0.2× 18 0.2× 19 559
Mario Santillo 61 0.2× 413 1.7× 38 0.2× 29 0.3× 8 0.1× 46 575

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

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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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2026