Yao‐Lin Jiang

3.8k total citations · 1 hit paper
283 papers, 3.0k citations indexed

About

Yao‐Lin Jiang is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Yao‐Lin Jiang has authored 283 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Numerical Analysis, 142 papers in Statistical and Nonlinear Physics and 75 papers in Electrical and Electronic Engineering. Recurrent topics in Yao‐Lin Jiang's work include Numerical methods for differential equations (134 papers), Model Reduction and Neural Networks (108 papers) and Electromagnetic Simulation and Numerical Methods (49 papers). Yao‐Lin Jiang is often cited by papers focused on Numerical methods for differential equations (134 papers), Model Reduction and Neural Networks (108 papers) and Electromagnetic Simulation and Numerical Methods (49 papers). Yao‐Lin Jiang collaborates with scholars based in China, Hong Kong and United States. Yao‐Lin Jiang's co-authors include Hongli Li, Zhidong Teng, Cheng Hu, Long Zhang, Kang Xu, Xiaoli Ding, Guojun Peng, Zuolei Wang, Hai‐Bao Chen and Fang Chen and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Computational Physics and IEEE Access.

In The Last Decade

Yao‐Lin Jiang

254 papers receiving 2.9k citations

Hit Papers

Dynamical analysis of a fractional-order predator-prey mo... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yao‐Lin Jiang China 26 1.4k 1.0k 833 544 482 283 3.0k
Guo–Cheng Wu China 40 2.3k 1.6× 1.6k 1.6× 3.6k 4.3× 833 1.5× 306 0.6× 173 5.9k
Chris Budd United Kingdom 30 1.5k 1.1× 537 0.5× 163 0.2× 755 1.4× 323 0.7× 138 4.4k
Z. Avazzadeh Iran 34 908 0.6× 1.4k 1.4× 2.6k 3.1× 135 0.2× 201 0.4× 176 3.7k
Nabil Shawagfeh Jordan 26 818 0.6× 1.2k 1.2× 2.3k 2.8× 207 0.4× 119 0.2× 67 3.2k
Subir Das India 29 1.3k 0.9× 797 0.8× 1.4k 1.7× 920 1.7× 119 0.2× 202 3.3k
Shui-Nee Chow United States 31 1.8k 1.2× 784 0.8× 304 0.4× 1.4k 2.5× 107 0.2× 91 4.9k
R.C. Mittal India 32 1.2k 0.8× 1.8k 1.7× 1.7k 2.0× 254 0.5× 119 0.2× 125 3.2k
Ivo Petráš Slovakia 32 1.7k 1.2× 890 0.9× 3.3k 4.0× 915 1.7× 1.0k 2.1× 99 7.1k
Fahd Jarad Türkiye 48 1000 0.7× 2.1k 2.1× 5.9k 7.1× 173 0.3× 113 0.2× 348 8.6k
Mauro Fabrizio Italy 26 665 0.5× 1.0k 1.0× 2.7k 3.2× 112 0.2× 74 0.2× 122 5.0k

Countries citing papers authored by Yao‐Lin Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yao‐Lin Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao‐Lin Jiang. 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 Yao‐Lin Jiang. The network helps show where Yao‐Lin Jiang may publish in the future.

Co-authorship network of co-authors of Yao‐Lin Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yao‐Lin Jiang. A scholar is included among the top collaborators of Yao‐Lin Jiang 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 Yao‐Lin Jiang. Yao‐Lin Jiang 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.
Mei, Lijie, Xiangqing Liu, & Yao‐Lin Jiang. (2025). Unconditionally stable explicit exponential methods for the Klein–Gordon–Schrödinger equations. Journal of Computational Physics. 533. 113993–113993.
2.
Jiang, Yao‐Lin, et al.. (2024). Numerical analysis of an improved projection method for the evolutionary magnetohydrodynamic equations with modular grad-div stabilization. Computers & Mathematics with Applications. 167. 298–314.
3.
Miao, Zhen, et al.. (2024). Analysis of a fractional-step parareal algorithm for the incompressible Navier-Stokes equations. Computers & Mathematics with Applications. 161. 78–89.
4.
Mei, Lijie, Yunbo Yang, Xiaohua Zhang, & Yao‐Lin Jiang. (2024). Embedded exponential Runge–Kutta–Nyström methods for highly oscillatory Hamiltonian systems. Journal of Computational Physics. 514. 113221–113221. 1 indexed citations
5.
Yang, Yunbo & Yao‐Lin Jiang. (2024). Unconditional optimal first‐order error estimates of a full pressure segregation scheme for the magnetohydrodynamics equations. Numerical Methods for Partial Differential Equations. 40(5).
6.
Jiang, Yao‐Lin, et al.. (2023). Reduced-order state-space models for two-dimensional discrete systems via bivariate discrete orthogonal polynomials. Mathematics and Computers in Simulation. 212. 441–456. 2 indexed citations
7.
Liu, Xia, et al.. (2023). Stability and Hopf bifurcation of a modified Leslie–Gower predator–prey model with Smith growth rate and B–D functional response. Chaos Solitons & Fractals. 174. 113794–113794. 17 indexed citations
8.
Wang, Bin & Yao‐Lin Jiang. (2023). Structure-Preserving Algorithms with Uniform Error Bound and Long-time Energy Conservation for Highly Oscillatory Hamiltonian Systems. Journal of Scientific Computing. 95(3). 2 indexed citations
9.
Wang, Jingyi, et al.. (2023). Analysis of a New Krylov subspace enhanced parareal algorithm for time-periodic problems. Numerical Algorithms. 97(1). 289–310.
10.
Li, Zhen & Yao‐Lin Jiang. (2023). Parallel model order reduction methods based on structured matrix analysis for discrete-time systems with parametric uncertainty. Journal of Computational and Applied Mathematics. 426. 115088–115088. 1 indexed citations
11.
Yang, Ping, et al.. (2023). A mixed model reduction method based on the symmetrizer for two classes of dynamical systems. Applied Mathematical Modelling. 123. 178–196.
12.
Wang, Bin & Yao‐Lin Jiang. (2023). Semi-discretization and full-discretization with improved accuracy for charged-particle dynamics in a strong nonuniform magnetic field. ESAIM. Mathematical modelling and numerical analysis. 57(4). 2427–2450. 1 indexed citations
13.
Yang, Yunbo, et al.. (2022). Error estimates of an operator‐splitting finite element method for the time‐dependent natural convection problem. Numerical Methods for Partial Differential Equations. 39(3). 2202–2226. 3 indexed citations
14.
Li, Jun & Yao‐Lin Jiang. (2021). The study of parareal algorithm for the linear switched systems. Applied Mathematics Letters. 125. 107763–107763. 1 indexed citations
15.
Yang, Yunbo, Yao‐Lin Jiang, & Bohao Yu. (2021). Unconditional Optimal Error Estimates of Linearized, Decoupled and Conservative Galerkin FEMs for the Klein–Gordon–Schrödinger Equation. Journal of Scientific Computing. 87(3). 7 indexed citations
16.
Jiang, Yao‐Lin, et al.. (2019). A parareal approach of semi‐linear parabolic equations based on general waveform relaxation. Numerical Methods for Partial Differential Equations. 35(6). 2017–2043. 5 indexed citations
17.
Jiang, Yao‐Lin, et al.. (2018). Simplest equation method for some time-fractional partial differential equations with conformable derivative. Computers & Mathematics with Applications. 75(8). 2978–2988. 105 indexed citations
18.
Jiang, Yao‐Lin & Xiaoli Ding. (2012). Waveform relaxation methods for fractional differential equations with the Caputo derivatives. Journal of Computational and Applied Mathematics. 238. 51–67. 36 indexed citations
19.
Jiang, Yao‐Lin & Hui Zhang. (2008). Schwarz waveform relaxation methods for parabolic equations in space-frequency domain. Computers & Mathematics with Applications. 55(12). 2924–2939. 6 indexed citations
20.
Jiang, Yao‐Lin, et al.. (2002). Dynamic Equations of Generalized Eigenvalue Problems. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(8). 1974–1978. 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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