C.S. Chen

1.1k total citations
40 papers, 889 citations indexed

About

C.S. Chen is a scholar working on Mechanics of Materials, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, C.S. Chen has authored 40 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mechanics of Materials, 15 papers in Electrical and Electronic Engineering and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in C.S. Chen's work include Numerical methods in engineering (32 papers), Electromagnetic Scattering and Analysis (13 papers) and Electromagnetic Simulation and Numerical Methods (12 papers). C.S. Chen is often cited by papers focused on Numerical methods in engineering (32 papers), Electromagnetic Scattering and Analysis (13 papers) and Electromagnetic Simulation and Numerical Methods (12 papers). C.S. Chen collaborates with scholars based in United States, China and Taiwan. C.S. Chen's co-authors include Jay Shieh, Chia‐Ming Fan, Kuang‐Chong Wu, Ji Lin, Wen Chen, P.H. Wen, Andréas Karageorghis, Jun Lu, Chein‐Shan Liu and Fangfang Dou and has published in prestigious journals such as Acta Materialia, Computer Methods in Applied Mechanics and Engineering and Ultrasonics Sonochemistry.

In The Last Decade

C.S. Chen

40 papers receiving 866 citations

Author Peers

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

Author						Papers	Cites
C.S. Chen	563	248	244	174	141	40	889
Linlin Sun	731 1.3×	149 0.6×	258 1.1×	128 0.7×	230 1.6×	63	1.1k
V. P. Smyshlyaev	757 1.3×	132 0.5×	208 0.9×	339 1.9×	75 0.5×	43	1.3k
Georg Dolzmann	455 0.8×	256 1.0×	58 0.2×	185 1.1×	148 1.0×	61	1.3k
Xing Wei	613 1.1×	109 0.4×	208 0.9×	53 0.3×	198 1.4×	41	750
Shipeng Mao	384 0.7×	816 3.3×	211 0.9×	49 0.3×	18 0.1×	81	1.0k
D.L. Young	568 1.0×	271 1.1×	133 0.5×	85 0.5×	146 1.0×	33	777
Roger Van Keer	181 0.3×	108 0.4×	168 0.7×	39 0.2×	76 0.5×	92	588
Xiangpeng Xin	188 0.3×	56 0.2×	146 0.6×	54 0.3×	83 0.6×	81	780
C. Verdi	231 0.4×	594 2.4×	89 0.4×	176 1.0×	27 0.2×	54	1.1k
Frederick Bloom	267 0.5×	176 0.7×	29 0.1×	120 0.7×	158 1.1×	74	1.1k

Countries citing papers authored by C.S. Chen

Since Specialization

Citations

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

Fields of papers citing papers by C.S. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.S. 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 C.S. Chen. The network helps show where C.S. Chen may publish in the future.

Co-authorship network of co-authors of C.S. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of C.S. Chen. A scholar is included among the top collaborators of C.S. 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 C.S. Chen. C.S. 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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20 of 20 papers shown

Karageorghis, Andréas, et al.. (2024). Training RBF neural networks for solving nonlinear and inverse boundary value problems. Computers & Mathematics with Applications. 165. 205–216. 4 indexed citations

Rabczuk, Timon, et al.. (2023). Numerical simulations of two-dimensional incompressible Navier-Stokes equations by the backward substitution projection method. Applied Mathematics and Computation. 466. 128472–128472. 4 indexed citations

Chen, Chuin‐Shan, et al.. (2022). Effective condition number for the selection of the RBF shape parameter with the fictitious point method. Applied Numerical Mathematics. 178. 280–295. 22 indexed citations

Chen, C.S., et al.. (2022). On the determination of locating the source points of the MFS using effective condition number. Journal of Computational and Applied Mathematics. 423. 114955–114955. 25 indexed citations

Lin, Ji, et al.. (2020). The radial basis function differential quadrature method with ghost points. Mathematics and Computers in Simulation. 173. 105–114. 32 indexed citations

Dou, Fangfang, Yanshan Liu, & C.S. Chen. (2018). The method of particular solutions for solving nonlinear Poisson problems. Computers & Mathematics with Applications. 77(2). 501–513. 9 indexed citations

Lin, Ji, et al.. (2018). The adaptive algorithm for the selection of sources of the method of fundamental solutions. Engineering Analysis with Boundary Elements. 95. 154–159. 13 indexed citations

Lin, Ji, C.S. Chen, Chein‐Shan Liu, & Jun Lu. (2016). Fast simulation of multi-dimensional wave problems by the sparse scheme of the method of fundamental solutions. Computers & Mathematics with Applications. 72(3). 555–567. 86 indexed citations

Li, Mingjing, et al.. (2016). Improved finite integration method for partial differential equations. Engineering Analysis with Boundary Elements. 64. 230–236. 14 indexed citations

10.

Zhang, Xueying, et al.. (2015). Localized method of approximate particular solutions for solving unsteady Navier–Stokes problem. Applied Mathematical Modelling. 40(3). 2265–2273. 11 indexed citations

11.

Chen, Gin-Shin, et al.. (2015). A new design method for extracorporeal high-intensity focused ultrasound annular array. Medical & Biological Engineering & Computing. 53(6). 567–573. 1 indexed citations

12.

Huang, Chang‐Wei, et al.. (2015). Simulation of thermal ablation by high-intensity focused ultrasound with temperature-dependent properties. Ultrasonics Sonochemistry. 27. 456–465. 22 indexed citations

13.

Yao, Guangming, et al.. (2015). Implicit local radial basis function interpolations based on function values. Applied Mathematics and Computation. 265. 91–102. 22 indexed citations

14.

Lin, Ji, Wen Chen, & C.S. Chen. (2014). A new scheme for the solution of reaction diffusion and wave propagation problems. Applied Mathematical Modelling. 38(23). 5651–5664. 14 indexed citations

15.

Feng, Guorui, Ming Li, & C.S. Chen. (2014). On the ill-conditioning of the MFS for irregular boundary data with sufficient regularity. Engineering Analysis with Boundary Elements. 41. 98–102. 12 indexed citations

16.

Chen, Wen, Ji Lin, & C.S. Chen. (2013). The Method of Fundamental Solutions for Solving Exterior Axisymmetric Helmholtz Problems with High Wave-Number. Advances in Applied Mathematics and Mechanics. 5(4). 477–493. 9 indexed citations

17.

Jiang, Xinrong, Wen Chen, & C.S. Chen. (2013). Fast multipole accelerated boundary knot method for inhomogeneous Helmholtz problems. Engineering Analysis with Boundary Elements. 37(10). 1239–1243. 11 indexed citations

18.

Li, Ming, Wen Chen, & C.S. Chen. (2013). The localized RBFs collocation methods for solving high dimensional PDEs. Engineering Analysis with Boundary Elements. 37(10). 1300–1304. 46 indexed citations

19.

Chen, C.S., et al.. (2010). ADAPTIVE METHOD OF PARTICULAR SOLUTION FOR SOLVING 3D INHOMOGENEOUS ELLIPTIC EQUATIONS. International Journal of Computational Methods. 7(3). 499–511. 6 indexed citations

20.

Kuo, J.B. & C.S. Chen. (1993). Analytical drain current model for a-Si:H TFTs by simultaneously considering localised deep and tail states. Electronics Letters. 29(17). 1566–1568. 1 indexed citations

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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