Yifa Tang

3.1k total citations · 1 hit paper
105 papers, 2.4k citations indexed

About

Yifa Tang is a scholar working on Numerical Analysis, Modeling and Simulation and Statistical and Nonlinear Physics. According to data from OpenAlex, Yifa Tang has authored 105 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Numerical Analysis, 52 papers in Modeling and Simulation and 26 papers in Statistical and Nonlinear Physics. Recurrent topics in Yifa Tang's work include Fractional Differential Equations Solutions (50 papers), Differential Equations and Numerical Methods (50 papers) and Numerical methods for differential equations (48 papers). Yifa Tang is often cited by papers focused on Fractional Differential Equations Solutions (50 papers), Differential Equations and Numerical Methods (50 papers) and Numerical methods for differential equations (48 papers). Yifa Tang collaborates with scholars based in China, United States and Pakistan. Yifa Tang's co-authors include Jianfei Huang, Weiping Bu, Jiye Yang, S. L. Kalla, Rudolf Scherer, Yanmin Zhao, Sadia Arshad, Luis Vázquez, Pengzhan Jin and Xiangtao Liu and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Microwave Theory and Techniques and Computer Physics Communications.

In The Last Decade

Yifa Tang

103 papers receiving 2.3k citations

Hit Papers

The Grünwald–Letnikov method for fractional differential ... 2011 2026 2016 2021 2011 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
Yifa Tang China 27 1.4k 1.4k 566 490 281 105 2.4k
Kourosh Parand Iran 30 2.2k 1.6× 1.7k 1.3× 947 1.7× 564 1.2× 339 1.2× 187 3.1k
S. B. Yuste Spain 31 1.9k 1.3× 1.3k 0.9× 883 1.6× 532 1.1× 394 1.4× 114 3.6k
Mehmet Sezer Türkiye 36 3.0k 2.1× 2.8k 2.0× 667 1.2× 475 1.0× 765 2.7× 183 3.8k
Liquan Mei China 26 894 0.6× 707 0.5× 698 1.2× 378 0.8× 218 0.8× 148 2.3k
Ben‐yu Guo China 25 1.1k 0.8× 1.6k 1.2× 405 0.7× 561 1.1× 461 1.6× 90 2.6k
Jafar Biazar Iran 34 3.1k 2.2× 2.3k 1.7× 1000 1.8× 535 1.1× 595 2.1× 184 3.8k
Farshid Mirzaee Iran 34 2.5k 1.8× 1.7k 1.3× 579 1.0× 447 0.9× 974 3.5× 132 3.0k
Abbas Saadatmandi Iran 27 3.1k 2.2× 2.4k 1.8× 1.1k 2.0× 631 1.3× 778 2.8× 71 3.8k
Roberto Garrappa Italy 25 2.0k 1.4× 1.1k 0.8× 490 0.9× 244 0.5× 598 2.1× 66 2.7k
Ram Jiwari India 28 1.2k 0.9× 1.2k 0.9× 962 1.7× 508 1.0× 114 0.4× 67 2.1k

Countries citing papers authored by Yifa Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yifa Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yifa Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yifa Tang. A scholar is included among the top collaborators of Yifa Tang 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 Yifa Tang. Yifa Tang 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.
Zhang, Jingna & Yifa Tang. (2024). A fast Euler–Maruyama scheme and its strong convergence for multi-term Caputo tempered fractional stochastic differential equations. Communications in Nonlinear Science and Numerical Simulation. 138. 108253–108253. 1 indexed citations
3.
Zhang, Jingna, et al.. (2023). A fast Euler–Maruyama method for Riemann–Liouville stochastic fractional nonlinear differential equations. Physica D Nonlinear Phenomena. 446. 133685–133685. 6 indexed citations
4.
Chen, Hu, et al.. (2022). Local error estimate of L1 scheme for linearized time fractional KdV equation with weakly singular solutions. Applied Numerical Mathematics. 179. 183–190. 7 indexed citations
5.
Tang, Yifa, et al.. (2022). Energy-preserving methods for guiding center system based on averaged vector field. Physics of Plasmas. 29(3). 5 indexed citations
6.
Arshad, Sadia, et al.. (2021). Simpson’s method for fractional differential equations with a non-singular kernel applied to a chaotic tumor model. Physica Scripta. 96(12). 124019–124019. 5 indexed citations
7.
Jin, Pengzhan, et al.. (2021). Approximation capabilities of measure-preserving neural networks. Neural Networks. 147. 72–80. 7 indexed citations
8.
Jin, Pengzhan, et al.. (2020). SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems. Neural Networks. 132. 166–179. 93 indexed citations
9.
Tang, Yifa, et al.. (2016). A family of new explicit, revertible, volume-preserving numerical schemes for the system of Lorentz force. Physics of Plasmas. 23(12). 11 indexed citations
10.
Zhao, Yanmin, Yadong Zhang, Fawang Liu, et al.. (2016). Convergence and superconvergence of a fully-discrete scheme for multi-term time fractional diffusion equations. QUT ePrints (Queensland University of Technology). 3 indexed citations
11.
Zhao, Yanmin, Yadong Zhang, Fawang Liu, et al.. (2016). Convergence and superconvergence of a fully-discrete scheme for multi-term time fractional diffusion equations. Computers & Mathematics with Applications. 73(6). 1087–1099. 50 indexed citations
12.
Huang, Jianfei, et al.. (2016). Boundary value problems of fractional Fokker–Planck equations. Computers & Mathematics with Applications. 73(6). 959–969. 11 indexed citations
13.
Zhang, Ruili, Hong Qin, Yifa Tang, et al.. (2016). Explicit symplectic algorithms based on generating functions for charged particle dynamics. Physical review. E. 94(1). 13205–13205. 39 indexed citations
14.
Scherer, Rudolf, S. L. Kalla, Yifa Tang, & Jianfei Huang. (2011). The Grünwald–Letnikov method for fractional differential equations. Computers & Mathematics with Applications. 62(3). 902–917. 341 indexed citations breakdown →
15.
Tang, Yifa, et al.. (2005). A note on symplecticity of step-transition mappings for multi-step methods. Journal of Computational and Applied Mathematics. 196(2). 474–477. 2 indexed citations
16.
Chen, Jing‐Bo, Mengzhao Qin, & Yifa Tang. (2002). Symplectic and multi-symplectic methods for the nonlinear Schrödinger equation. Computers & Mathematics with Applications. 43(8-9). 1095–1106. 61 indexed citations
17.
Xiao, Aiguo & Yifa Tang. (2002). Symplectic Properties of multistep Runge-Kutta methods. Computers & Mathematics with Applications. 44(10-11). 1329–1338. 4 indexed citations
18.
Xiao, Aiguo & Yifa Tang. (2001). Regularity properties of one-leg methods for delay differential equations. Computers & Mathematics with Applications. 41(3-4). 363–372. 1 indexed citations
19.
Tang, Yifa, et al.. (1994). Formal energy of symplectic scheme for Hamiltonian systems and its applications (II). Computers & Mathematics with Applications. 27(12). 31–39. 22 indexed citations
20.
Tang, Yifa. (1993). The symplecticity of multi-step methods. Computers & Mathematics with Applications. 25(3). 83–90. 33 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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