Jing An

512 total citations
33 papers, 342 citations indexed

About

Jing An is a scholar working on Computational Mechanics, Mechanics of Materials and Computational Theory and Mathematics. According to data from OpenAlex, Jing An has authored 33 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 15 papers in Mechanics of Materials and 9 papers in Computational Theory and Mathematics. Recurrent topics in Jing An's work include Advanced Numerical Methods in Computational Mathematics (21 papers), Numerical methods in engineering (14 papers) and Numerical methods in inverse problems (7 papers). Jing An is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (21 papers), Numerical methods in engineering (14 papers) and Numerical methods in inverse problems (7 papers). Jing An collaborates with scholars based in China, United States and South Korea. Jing An's co-authors include Jie Shen, Yuqiang Gou, Chunxia Yang, Jiayu Chen, Wenxia Chen, Zhendong Luo, Yu-Jiang Wu, Ai‐Li Yang, Hong Li and Ping Sun and has published in prestigious journals such as Carbohydrate Polymers, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

In The Last Decade

Jing An

29 papers receiving 333 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jing An China 9 116 95 86 84 80 33 342
Zewen Wang China 13 41 0.4× 110 1.2× 56 0.7× 74 0.9× 55 0.7× 53 418
Kui Du China 13 137 1.2× 53 0.6× 70 0.8× 211 2.5× 109 1.4× 43 636
Saber Trabelsi Saudi Arabia 9 72 0.6× 17 0.2× 9 0.1× 10 0.1× 57 0.7× 28 247
Lihong Zhang China 24 14 0.1× 43 0.5× 698 8.1× 57 0.7× 75 0.9× 102 1.7k
Han Zhou China 7 15 0.1× 161 1.7× 567 6.6× 26 0.3× 46 0.6× 15 758
J. Peetre Sweden 9 83 0.7× 31 0.3× 99 1.2× 9 0.1× 174 2.2× 20 1.1k
Manuel Alfaro Spain 17 6 0.1× 27 0.3× 135 1.6× 334 4.0× 100 1.3× 46 875
A. Markus Israel 10 12 0.1× 11 0.1× 44 0.5× 70 0.8× 209 2.6× 32 461
Stefano Panizzi Italy 8 42 0.4× 92 1.0× 40 0.5× 7 0.1× 285 3.6× 18 544

Countries citing papers authored by Jing An

Since Specialization
Citations

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

Fields of papers citing papers by Jing An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing An

This figure shows the co-authorship network connecting the top 25 collaborators of Jing An. A scholar is included among the top collaborators of Jing An 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 Jing An. Jing An 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.
2.
Wang, Hao, Jing An, Jun Yang, et al.. (2024). Remaining useful life prediction method of bearings based on the interactive learning strategy. Computers & Electrical Engineering. 121. 109853–109853. 3 indexed citations
3.
An, Jing, Ting Tan, & Zhimin Zhang. (2023). A Novel Spectral Approximation and Error Estimation for Transmission Eigenvalues in Spherical Domains. Journal of Scientific Computing. 96(2). 2 indexed citations
4.
An, Jing, et al.. (2023). Numerical approximation based on a decoupled dimensionality reduction scheme for Maxwell eigenvalue problem. Mathematical Methods in the Applied Sciences. 46(16). 17367–17387. 1 indexed citations
5.
An, Jing, et al.. (2022). A novel numerical method based on a high order polynomial approximation of the fourth order Steklov equation and its eigenvalue problems. Discrete and Continuous Dynamical Systems - B. 28(1). 50–50. 3 indexed citations
6.
An, Jing, et al.. (2022). An efficient finite element method and error analysis for fourth order problems in a spherical domain. Discrete and Continuous Dynamical Systems - B. 27(11). 6807–6807.
7.
Tan, Ting, Lan Li, & Jing An. (2022). A novel spectral method and error analysis for fourth-order equations in a spherical region. Mathematics and Computers in Simulation. 200. 148–161. 3 indexed citations
8.
Tan, Ting, et al.. (2020). An efficient spectral-Galerkin approximation based on dimension reduction scheme for transmission eigenvalues in polar geometries. Computers & Mathematics with Applications. 80(5). 940–955. 2 indexed citations
9.
Li, Lan & Jing An. (2020). An efficient spectral method and rigorous error analysis based on dimension reduction scheme for fourth order problems. Numerical Methods for Partial Differential Equations. 37(1). 152–171. 4 indexed citations
10.
Tan, Ting & Jing An. (2018). Spectral Galerkin approximation and rigorous error analysis for the Steklov eigenvalue problem in circular domain. Mathematical Methods in the Applied Sciences. 41(10). 3764–3778. 2 indexed citations
11.
An, Jing & Zhimin Zhang. (2017). An Efficient Spectral-Galerkin Approximation and Error Analysis for Maxwell Transmission Eigenvalue Problems in Spherical Geometries. Journal of Scientific Computing. 75(1). 157–181. 7 indexed citations
12.
An, Jing & Zhendong Luo. (2016). A high accuracy spectral method based on min/max principle for biharmonic eigenvalue problems on a spherical domain. Journal of Mathematical Analysis and Applications. 439(1). 385–395. 3 indexed citations
13.
Chen, Lizhen, et al.. (2016). Direct Solvers for the Biharmonic Eigenvalue Problems Using Legendre Polynomials. Journal of Scientific Computing. 70(3). 1030–1041. 4 indexed citations
14.
An, Jing, et al.. (2016). A highly efficient spectral-Galerkin method based on tensor product for fourth-order Steklov equation with boundary eigenvalue. Journal of Inequalities and Applications. 2016(1). 3 indexed citations
15.
An, Jing, Zhendong Luo, Hong Li, & Ping Sun. (2015). Reduced-order extrapolation spectral-finite difference scheme based on POD method and error estimation for three-dimensional parabolic equation. Frontiers of Mathematics in China. 10(5). 1025–1040. 25 indexed citations
16.
An, Jing & Jie Shen. (2015). Spectral approximation to a transmission eigenvalue problem and its applications to an inverse problem. Computers & Mathematics with Applications. 69(10). 1132–1143. 20 indexed citations
17.
18.
Yang, Chunxia, et al.. (2013). Structural characterization and antitumor activity of a pectic polysaccharide from Codonopsis pilosula. Carbohydrate Polymers. 98(1). 886–895. 106 indexed citations
19.
Li, Hong, Zhendong Luo, Ping Sun, & Jing An. (2012). A finite volume element formulation and error analysis for the non-stationary conduction–convection problem. Journal of Mathematical Analysis and Applications. 396(2). 864–879. 8 indexed citations
20.
Yang, Ai‐Li, Jing An, & Yu-Jiang Wu. (2009). A generalized preconditioned HSS method for non-Hermitian positive definite linear systems. Applied Mathematics and Computation. 216(6). 1715–1722. 42 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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