Fajie Wang

2.3k total citations
96 papers, 1.9k citations indexed

About

Fajie Wang is a scholar working on Mechanics of Materials, Electrical and Electronic Engineering and Mathematical Physics. According to data from OpenAlex, Fajie Wang has authored 96 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Mechanics of Materials, 28 papers in Electrical and Electronic Engineering and 19 papers in Mathematical Physics. Recurrent topics in Fajie Wang's work include Numerical methods in engineering (67 papers), Electromagnetic Simulation and Numerical Methods (26 papers) and Electromagnetic Scattering and Analysis (18 papers). Fajie Wang is often cited by papers focused on Numerical methods in engineering (67 papers), Electromagnetic Simulation and Numerical Methods (26 papers) and Electromagnetic Scattering and Analysis (18 papers). Fajie Wang collaborates with scholars based in China, Taiwan and Germany. Fajie Wang's co-authors include Yan Gu, Wenzhen Qu, Wen Chen, Chein‐Shan Liu, Lin Qiu, Chia‐Ming Fan, Qingsong Hua, Ji Lin, Chuanzeng Zhang and Zengtao Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Fajie Wang

92 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Fajie Wang 1.4k 462 413 378 270 96 1.9k
Davoud Mirzaei 1.1k 0.8× 313 0.7× 655 1.6× 251 0.7× 131 0.5× 35 1.6k
Xiaolin Li 1.9k 1.4× 560 1.2× 969 2.3× 610 1.6× 108 0.4× 120 2.3k
Shaoqiang Tang 537 0.4× 218 0.5× 346 0.8× 130 0.3× 103 0.4× 103 1.4k
Božidar Šarler 2.5k 1.8× 463 1.0× 1.6k 4.0× 549 1.5× 315 1.2× 211 3.9k
Dongwoo Sheen 742 0.5× 574 1.2× 883 2.1× 125 0.3× 141 0.5× 99 1.8k
Kai Yang 981 0.7× 363 0.8× 576 1.4× 146 0.4× 92 0.3× 70 1.5k
Jichun Li 1.1k 0.8× 1.1k 2.4× 1.4k 3.3× 206 0.5× 188 0.7× 168 3.1k
Liviu Marin 2.2k 1.6× 332 0.7× 394 1.0× 322 0.9× 335 1.2× 108 2.8k
N. Mai‐Duy 1.3k 1.0× 308 0.7× 1.0k 2.4× 356 0.9× 143 0.5× 124 2.0k
Xiaonan Wu 679 0.5× 523 1.1× 592 1.4× 110 0.3× 98 0.4× 88 2.6k

Countries citing papers authored by Fajie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fajie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fajie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fajie Wang. A scholar is included among the top collaborators of Fajie Wang 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 Fajie Wang. Fajie Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Fajie, et al.. (2025). An adaptive method of fundamental solutions using physics-informed neural networks. Engineering Analysis with Boundary Elements. 178. 106295–106295. 5 indexed citations
2.
Qu, Wenzhen, et al.. (2025). Spectral integrated neural networks with large time steps for 2D and 3D transient elastodynamic analysis. Neural Networks. 188. 107559–107559. 2 indexed citations
3.
Gao, K. Y., Lin Qiu, Gang Li, et al.. (2025). A physics-informed framework based on radial basis functions for forward and inverse heat conduction problems in anisotropic materials. International Journal of Heat and Mass Transfer. 252. 127517–127517. 1 indexed citations
4.
Li, Xin, et al.. (2025). Fundamental solution neural networks for solving inverse Cauchy problems for the Laplace and biharmonic equations. Computers & Mathematics with Applications. 201. 1–17.
5.
6.
Wang, Fajie, et al.. (2025). Enriched physics-informed neural networks for dynamic Poisson-Nernst-Planck systems. Mathematics and Computers in Simulation. 237. 231–246. 6 indexed citations
7.
Wang, Fajie, et al.. (2024). Shape optimization of sound barriers using an isogeometric meshless method. Physics of Fluids. 36(2). 1 indexed citations
8.
Cai, Wei, et al.. (2024). Temperature and strain-rate dependent fractional constitutive model for glassy polymers. Chaos Solitons & Fractals. 185. 115116–115116. 3 indexed citations
9.
Liu, Hanqing & Fajie Wang. (2023). A novel semi-analytical meshless method for the thickness optimization of porous material distributed on sound barriers. Applied Mathematics Letters. 147. 108844–108844. 42 indexed citations
10.
Liu, Hanqing, et al.. (2023). Acoustic simulation using singular boundary method based on loop subdivision surfaces: A seamless integration of CAD and CAE. Engineering Analysis with Boundary Elements. 158. 97–106. 10 indexed citations
11.
Wang, Chao, Yan Gu, Lin Qiu, & Fajie Wang. (2023). Analysis of 3D transient heat conduction in functionally graded materials using a local semi-analytical space-time collocation scheme. Engineering Analysis with Boundary Elements. 149. 203–212. 6 indexed citations
12.
Wang, Fajie, Chao Wang, & Zengtao Chen. (2020). Local knot method for 2D and 3D convection–diffusion–reaction equations in arbitrary domains. Applied Mathematics Letters. 105. 106308–106308. 66 indexed citations
13.
Wang, Fajie, et al.. (2019). A novel space–time meshless method for nonhomogeneous convection–diffusion equations with variable coefficients. Applied Mathematics Letters. 92. 144–150. 49 indexed citations
14.
Qu, Wenzhen, Chia‐Ming Fan, Yan Gu, & Fajie Wang. (2019). Analysis of three-dimensional interior acoustic fields by using the localized method of fundamental solutions. Applied Mathematical Modelling. 76. 122–132. 40 indexed citations
15.
Wang, Fajie, Wen Chen, & Qingsong Hua. (2018). A simple empirical formula of origin intensity factor in singular boundary method for two-dimensional Hausdorff derivative Laplace equations with Dirichlet boundary. Computers & Mathematics with Applications. 76(5). 1075–1084. 32 indexed citations
16.
Liu, Chein‐Shan, Lin Qiu, & Fajie Wang. (2018). Nonlinear wave inverse source problem solved by a method of m-order homogenization functions. Applied Mathematics Letters. 91. 90–96. 16 indexed citations
17.
Liu, Chein‐Shan, Fajie Wang, & Yan Gu. (2017). Trefftz energy method for solving the Cauchy problem of the Laplace equation. Applied Mathematics Letters. 79. 187–195. 16 indexed citations
18.
Lin, Ji, et al.. (2017). Method of particular solutions using polynomial basis functions for the simulation of plate bending vibration problems. Applied Mathematical Modelling. 49. 452–469. 46 indexed citations
19.
Wang, Fajie, Wen Chen, Chuanzeng Zhang, & Ji Lin. (2017). Analytical evaluation of the origin intensity factor of time-dependent diffusion fundamental solution for a matrix-free singular boundary method formulation. Applied Mathematical Modelling. 49. 647–662. 34 indexed citations
20.

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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