Yueh‐Cheng Kuo

71 total papers · 958 total citations
49 papers, 695 citations indexed

About

Yueh‐Cheng Kuo is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Yueh‐Cheng Kuo has authored 49 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 15 papers in Numerical Analysis and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Yueh‐Cheng Kuo's work include Matrix Theory and Algorithms (23 papers), Numerical methods for differential equations (9 papers) and Cold Atom Physics and Bose-Einstein Condensates (6 papers). Yueh‐Cheng Kuo is often cited by papers focused on Matrix Theory and Algorithms (23 papers), Numerical methods for differential equations (9 papers) and Cold Atom Physics and Bose-Einstein Condensates (6 papers). Yueh‐Cheng Kuo collaborates with scholars based in Taiwan, China and United States. Yueh‐Cheng Kuo's co-authors include Tsung‐fang Wu, Ching‐yu Chen, Wen‐Wei Lin, Shufang Xu, Itzhak Bars, Moody T. Chu, Chun‐Hua Guo, Biswa Nath Datta, Wen-Wei Lin and Weichung Wang and has published in prestigious journals such as Physical Review Letters, Journal of Computational Physics and AIAA Journal.

In The Last Decade

Yueh‐Cheng Kuo

46 papers receiving 627 citations

Hit Papers

The Nehari manifold for a... 2010 2026 2015 2020 2010 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Yueh‐Cheng Kuo 391 294 141 120 99 49 695
Joseph Wloka 323 0.8× 264 0.9× 104 0.7× 23 0.2× 286 2.9× 22 748
Raimond A. Struble 70 0.2× 116 0.4× 140 1.0× 82 0.7× 72 0.7× 50 604
Laurent Baratchart 175 0.4× 345 1.2× 104 0.7× 18 0.1× 260 2.6× 80 794
Georgiĭ Evgenʹevich Shilov 142 0.4× 278 0.9× 46 0.3× 13 0.1× 280 2.8× 29 699
Luis G. Reyna 135 0.3× 124 0.4× 40 0.3× 35 0.3× 56 0.6× 28 596
L. Collatz 202 0.5× 109 0.4× 52 0.4× 24 0.2× 73 0.7× 50 581
Joel L. Schiff 70 0.2× 246 0.8× 60 0.4× 22 0.2× 71 0.7× 30 662
Roland Herzog 348 0.9× 66 0.2× 127 0.9× 64 0.5× 93 0.9× 65 726
Francesco G. Tricomi 78 0.2× 187 0.6× 22 0.2× 19 0.2× 85 0.9× 23 568
Minoru Urabe 127 0.3× 81 0.3× 145 1.0× 124 1.0× 49 0.5× 38 699

Countries citing papers authored by Yueh‐Cheng Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Yueh‐Cheng Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yueh‐Cheng Kuo. 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 Yueh‐Cheng Kuo. The network helps show where Yueh‐Cheng Kuo may publish in the future.

Co-authorship network of co-authors of Yueh‐Cheng Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Yueh‐Cheng Kuo. A scholar is included among the top collaborators of Yueh‐Cheng Kuo 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 Yueh‐Cheng Kuo. Yueh‐Cheng Kuo 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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