Ching‐yu Chen

28 total papers · 639 total citations
20 papers, 452 citations indexed

About

Ching‐yu Chen is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Ching‐yu Chen has authored 20 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Applied Mathematics, 4 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Ching‐yu Chen's work include Nonlinear Partial Differential Equations (6 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Nonlinear Differential Equations Analysis (4 papers). Ching‐yu Chen is often cited by papers focused on Nonlinear Partial Differential Equations (6 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Nonlinear Differential Equations Analysis (4 papers). Ching‐yu Chen collaborates with scholars based in Taiwan, United Kingdom and China. Ching‐yu Chen's co-authors include Tsung‐fang Wu, Yueh‐Cheng Kuo, John R. King, Helen M. Byrne, John Ward, Yu-Hau Tseng, Lloyd Bridge, Stephen J. Hill, Chia-Chi Sung and Yun‐Long Tseng and has published in prestigious journals such as Frontiers in Immunology, Applied Mathematics and Computation and Frontiers in Oncology.

In The Last Decade

Ching‐yu Chen

16 papers receiving 415 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
Ching‐yu Chen 307 264 100 87 64 20 452
Janet Dyson 170 0.6× 99 0.4× 82 0.8× 82 0.9× 68 1.1× 32 522
Yūki Naito 428 1.4× 248 0.9× 81 0.8× 140 1.6× 25 0.4× 49 536
Dong Li 106 0.3× 33 0.1× 42 0.4× 114 1.3× 20 0.3× 26 416
Cristian Morales-Rodrigo 124 0.4× 162 0.6× 48 0.5× 31 0.4× 166 2.6× 31 462
Zhaojuan Wang 41 0.1× 193 0.7× 228 2.3× 90 1.0× 5 0.1× 42 473
Jinhua Wang 145 0.5× 95 0.4× 10 0.1× 65 0.7× 14 0.2× 31 412
Wei Wang 87 0.3× 68 0.3× 15 0.1× 45 0.5× 141 2.2× 45 407
Chengchun Hao 309 1.0× 38 0.1× 75 0.8× 325 3.7× 11 0.2× 25 414
Hongyong Cui 53 0.2× 291 1.1× 341 3.4× 81 0.9× 12 0.2× 28 509
Aleksandra Zimmermann 212 0.7× 189 0.7× 49 0.5× 117 1.3× 6 0.1× 21 407

Countries citing papers authored by Ching‐yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐yu Chen. 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 Ching‐yu Chen. The network helps show where Ching‐yu Chen may publish in the future.

Co-authorship network of co-authors of Ching‐yu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐yu Chen. A scholar is included among the top collaborators of Ching‐yu Chen 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 Ching‐yu Chen. Ching‐yu Chen 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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