Jinyun Yuan

111 total papers · 1.9k total citations
84 papers, 1.5k citations indexed

About

Jinyun Yuan is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Jinyun Yuan has authored 84 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computational Theory and Mathematics, 40 papers in Computational Mechanics and 39 papers in Numerical Analysis. Recurrent topics in Jinyun Yuan's work include Matrix Theory and Algorithms (25 papers), Advanced Optimization Algorithms Research (24 papers) and Advanced Numerical Methods in Computational Mathematics (22 papers). Jinyun Yuan is often cited by papers focused on Matrix Theory and Algorithms (25 papers), Advanced Optimization Algorithms Research (24 papers) and Advanced Numerical Methods in Computational Mathematics (22 papers). Jinyun Yuan collaborates with scholars based in Brazil, China and United States. Jinyun Yuan's co-authors include Xiaonan Wu, Gene H. Golub, Tong Zhang, Ya-xiang Yuan, Fugui Dong, Qingkun Tan, Huanhuan Li, Zhongfu Tan, Liwei Ju and Yu‐Hong Dai and has published in prestigious journals such as Journal of Computational Physics, Applied Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

Jinyun Yuan

77 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Jinyun Yuan 599 599 587 322 311 84 1.5k
Changfeng Ma 1.1k 1.8× 1.4k 2.3× 546 0.9× 147 0.5× 311 1.0× 191 2.0k
I. Gladwell 649 1.1× 302 0.5× 800 1.4× 288 0.9× 78 0.3× 87 1.9k
W. Allegretto 212 0.4× 777 1.3× 179 0.3× 204 0.6× 113 0.4× 117 1.6k
Ó. González 490 0.8× 219 0.4× 349 0.6× 629 2.0× 101 0.3× 137 1.7k
Nicola Guglielmi 812 1.4× 682 1.1× 276 0.5× 185 0.6× 56 0.2× 108 1.7k
Jiguang Sun 411 0.7× 888 1.5× 694 1.2× 439 1.4× 530 1.7× 126 2.1k
Wenyu Sun 867 1.4× 668 1.1× 418 0.7× 106 0.3× 46 0.1× 69 1.4k
Roswitha März 1.1k 1.9× 762 1.3× 244 0.4× 184 0.6× 56 0.2× 78 1.5k
W.H.A. Schilders 800 1.3× 371 0.6× 327 0.6× 323 1.0× 99 0.3× 100 1.5k
A. Jennings 270 0.5× 546 0.9× 341 0.6× 209 0.6× 258 0.8× 51 1.5k

Countries citing papers authored by Jinyun Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jinyun Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyun Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Jinyun Yuan. A scholar is included among the top collaborators of Jinyun 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 Jinyun Yuan. Jinyun 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