D.L. Young

3.1k total citations
128 papers, 2.6k citations indexed

About

D.L. Young is a scholar working on Computational Mechanics, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, D.L. Young has authored 128 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computational Mechanics, 54 papers in Mechanics of Materials and 18 papers in Electrical and Electronic Engineering. Recurrent topics in D.L. Young's work include Numerical methods in engineering (52 papers), Fluid Dynamics and Vibration Analysis (30 papers) and Lattice Boltzmann Simulation Studies (27 papers). D.L. Young is often cited by papers focused on Numerical methods in engineering (52 papers), Fluid Dynamics and Vibration Analysis (30 papers) and Lattice Boltzmann Simulation Studies (27 papers). D.L. Young collaborates with scholars based in Taiwan, United States and India. D.L. Young's co-authors include Hervé Capart, Chia‐Cheng Tsai, Chia‐Ming Fan, K. Murugesan, Kuei‐Hsien Chen, D. C. Lo, Yves Zech, T. I. Eldho, Chia-Lin Chiu and C. W. Chen and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and The Journal of the Acoustical Society of America.

In The Last Decade

D.L. Young

126 papers receiving 2.5k citations

Author Peers

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

Author						Papers	Cites
D.L. Young	1.3k	1.3k	490	392	283	128	2.6k
Alfredo Bermúdez	2.0k 1.5×	795 0.6×	216 0.4×	633 1.6×	280 1.0×	148	3.5k
Chia‐Cheng Tsai	710 0.5×	884 0.7×	309 0.6×	227 0.6×	199 0.7×	111	1.7k
W.J. Mansur	509 0.4×	1.5k 1.2×	663 1.4×	973 2.5×	276 1.0×	201	3.0k
Chia‐Ming Fan	1.4k 1.0×	2.5k 1.9×	786 1.6×	625 1.6×	309 1.1×	144	3.3k
Zhuojia Fu	835 0.6×	2.7k 2.1×	765 1.6×	828 2.1×	486 1.7×	139	3.6k
John L. Tassoulas	541 0.4×	1.4k 1.1×	1.8k 3.6×	564 1.4×	205 0.7×	102	3.2k
Martin Berggren	885 0.7×	340 0.3×	437 0.9×	303 0.8×	445 1.6×	72	2.4k
P. Bettess	1.3k 1.0×	2.3k 1.8×	1.5k 3.1×	1.5k 3.8×	385 1.4×	100	4.4k
K. S. Yeo	2.6k 2.0×	865 0.7×	231 0.5×	311 0.8×	425 1.5×	107	3.8k
Mohammed Seaı̈d	1.4k 1.1×	368 0.3×	219 0.4×	197 0.5×	95 0.3×	175	2.0k

Countries citing papers authored by D.L. Young

Since Specialization

Citations

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

Fields of papers citing papers by D.L. Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.L. Young. 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 D.L. Young. The network helps show where D.L. Young may publish in the future.

Co-authorship network of co-authors of D.L. Young

This figure shows the co-authorship network connecting the top 25 collaborators of D.L. Young. A scholar is included among the top collaborators of D.L. Young 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 D.L. Young. D.L. Young 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

Young, D.L., et al.. (2024). Power-enhanced residual network for function approximation and physics-informed inverse problems. Applied Mathematics and Computation. 480. 128910–128910. 7 indexed citations

Naji, Ahmed, et al.. (2024). Bending analysis of quasicrystal plates using adaptive radial basis function method. Journal of Computational and Applied Mathematics. 450. 115990–115990. 1 indexed citations

Cavoretto, Roberto, et al.. (2024). Stable weight updating: A key to reliable PDE solutions using deep learning. Engineering Analysis with Boundary Elements. 168. 105933–105933. 5 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, Chuin‐Shan, et al.. (2022). On the selection of a better radial basis function and its shape parameter in interpolation problems. Applied Mathematics and Computation. 442. 127713–127713. 29 indexed citations

Young, D.L., et al.. (2021). Two-step MPS-MFS ghost point method for solving partial differential equations. Computers & Mathematics with Applications. 94. 38–46. 12 indexed citations

Tsai, Chia‐Cheng & D.L. Young. (2013). Using the Method of Fundamental Solutions for Obtaining Exponentially Convergent Helmholtz Eigensolutions. Computer Modeling in Engineering & Sciences. 94(2). 175–205. 7 indexed citations

Young, D.L., et al.. (2013). Domain Type Kernel-Based Meshless Methods for Solving Wave Equations. Cmc-computers Materials & Continua. 33(3). 213–230. 8 indexed citations

Yang, Fu-Ling, et al.. (2011). Application of the Method of Fundamental Solutions and the Generalized Lagally Theorem to the Interaction of Solid Body and External Singularities in An Inviscid Fluid. Cmc-computers Materials & Continua. 23(2). 135–154. 7 indexed citations

10.

Young, D.L., et al.. (2010). An Analysis of Backward Heat Conduction Problems Using the Time Evolution Method of Fundamental Solutions. Computer Modeling in Engineering & Sciences. 66(1). 53–72. 9 indexed citations

11.

Young, D.L., et al.. (2009). Hypersingular meshless method for solving 3D potential problems with arbitrary domain. Computer Modeling in Engineering & Sciences. 40(3). 225–270. 15 indexed citations

12.

Capart, Hervé, B. Spinewine, D.L. Young, et al.. (2007). The 1996 Lake Ha! Ha! breakout flood, Québec: Test data for geomorphic flood routing methods. Journal of Hydraulic Research. 45(sup1). 97–109. 33 indexed citations

13.

Young, D.L., et al.. (2007). A Modified Method of Fundamental Solutions with Source on the Boundary for Solving Laplace Equations with Circular and Arbitrary Domains. Computer Modeling in Engineering & Sciences. 19(3). 197–222. 64 indexed citations

14.

Young, D.L., Chia‐Cheng Tsai, C. W. Chen, & Chia‐Ming Fan. (2007). The method of fundamental solutions and condition number analysis for inverse problems of Laplace equation. Computers & Mathematics with Applications. 55(6). 1189–1200. 58 indexed citations

15.

Young, D.L., et al.. (2006). The Method of Fundamental Solutions for Eigenfrequencies of Plate Vibrations. Cmc-computers Materials & Continua. 4(1). 1–10. 24 indexed citations

16.

Lo, D. C., D.L. Young, & Chia‐Cheng Tsai. (2006). High resolution of 2D natural convection in a cavity by the DQ method. Journal of Computational and Applied Mathematics. 203(1). 219–236. 29 indexed citations

17.

Young, D.L., et al.. (2005). Solution of Maxwell's Equations Using the MQ Method. Cmc-computers Materials & Continua. 2(4). 267–276. 19 indexed citations

18.

Fan, Chia‐Ming, et al.. (2005). Eigenanalysis for Membranes with Stringers Using the Methods of Fundamental Solutions and Domain Decomposition. Computer Modeling in Engineering & Sciences. 8(1). 29–44. 18 indexed citations

19.

Capart, Hervé, T. I. Eldho, Siyuan Huang, D.L. Young, & Yves Zech. (2004). Closure of "Treatment of Natural Geometry in Finite Volume River Flow Computations". 130(10). 1048–1049. 1 indexed citations

20.

Tsai, Chia‐Cheng, D.L. Young, & Alexander H.‐D. Cheng. (2002). Meshless BEM for Three-dimensional Stokes Flows. Computer Modeling in Engineering & Sciences. 3(1). 117–128. 41 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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