Xiaohua Ding

687 total citations
67 papers, 528 citations indexed

About

Xiaohua Ding is a scholar working on Numerical Analysis, Modeling and Simulation and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Xiaohua Ding has authored 67 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Numerical Analysis, 33 papers in Modeling and Simulation and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Xiaohua Ding's work include Numerical methods for differential equations (33 papers), Fractional Differential Equations Solutions (30 papers) and Differential Equations and Numerical Methods (28 papers). Xiaohua Ding is often cited by papers focused on Numerical methods for differential equations (33 papers), Fractional Differential Equations Solutions (30 papers) and Differential Equations and Numerical Methods (28 papers). Xiaohua Ding collaborates with scholars based in China, Australia and United Kingdom. Xiaohua Ding's co-authors include Kai‐Ning Wu, Lisha Wang, Lei Zhang, Ming-Zhu Liu, Zhong Chen, Lei Zhang, Chiping Zhang, Xiuyan Li, Shu‐Yuan Xiao and Mingzhu Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Tropical Medicine and Hygiene and Neurocomputing.

In The Last Decade

Xiaohua Ding

64 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohua Ding China 13 284 237 130 119 87 67 528
Zhanwen Yang China 15 430 1.5× 343 1.4× 104 0.8× 50 0.4× 46 0.5× 68 668
Sotirios Sabanis United Kingdom 12 107 0.4× 153 0.6× 195 1.5× 428 3.6× 46 0.5× 29 764
Minghui Song China 14 283 1.0× 143 0.6× 90 0.7× 165 1.4× 60 0.7× 63 591
Pablo Amster Argentina 14 173 0.6× 121 0.5× 90 0.7× 45 0.4× 75 0.9× 96 632
Guangying Lv China 13 66 0.2× 169 0.7× 288 2.2× 68 0.6× 153 1.8× 79 565
Zaitang Huang China 16 66 0.2× 144 0.6× 92 0.7× 34 0.3× 104 1.2× 42 534
Siqing Gan China 19 506 1.8× 229 1.0× 43 0.3× 571 4.8× 47 0.5× 70 958
James Nolen United States 16 85 0.3× 151 0.6× 343 2.6× 26 0.2× 67 0.8× 36 704
Afshin Babaei Iran 17 345 1.2× 600 2.5× 111 0.9× 47 0.4× 113 1.3× 52 724
Leila Torkzadeh Iran 10 110 0.4× 172 0.7× 42 0.3× 56 0.5× 55 0.6× 37 319

Countries citing papers authored by Xiaohua Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohua Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Ding. A scholar is included among the top collaborators of Xiaohua Ding 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 Xiaohua Ding. Xiaohua Ding 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, Feng, et al.. (2024). A novel explicit fully-discrete momentum-preserving scheme of damped nonlinear stochastic wave equation influenced by multiplicative space-time noise. Applied Mathematics Letters. 160. 109325–109325. 2 indexed citations
3.
Ding, Xiaohua, et al.. (2021). Existence results for coupled nonlinear fractional differential equations with coupled strip and infinite point boundary conditions. Fixed Point Theory. 22(2). 913–932. 2 indexed citations
4.
Ding, Xiaohua, et al.. (2021). Continuous stage stochastic Runge–Kutta methods. Advances in Difference Equations. 2021(1). 2 indexed citations
5.
Ding, Xiaohua, et al.. (2021). Convergence analysis of the hp-version spectral collocation method for a class of nonlinear variable-order fractional differential equations. Applied Numerical Mathematics. 170. 269–297. 1 indexed citations
6.
Li, Xiuyan, et al.. (2019). STOCHASTIC PARTITIONED AVERAGED VECTOR FIELD METHODS FOR STOCHASTIC DIFFERENTIAL EQUATIONS WITH A CONSERVED QUANTITY. Journal of Applied Analysis & Computation. 9(5). 1663–1685.
7.
Ding, Xiaohua, et al.. (2018). High-order stochastic symplectic partitioned Runge-Kutta methods for stochastic Hamiltonian systems with additive noise. Applied Mathematics and Computation. 346. 575–593. 9 indexed citations
8.
Ding, Xiaohua, et al.. (2017). An objective algorithm for reconstructing the three-dimensional ocean temperature field based on Argo profiles and SST data. Ocean Dynamics. 67(12). 1523–1533. 5 indexed citations
9.
Ding, Xiaohua, et al.. (2017). A compact ADI Crank–Nicolson difference scheme for the two-dimensional time fractional subdiffusion equation. International Journal of Computer Mathematics. 95(12). 2525–2538. 1 indexed citations
10.
Ding, Xiaohua, et al.. (2016). Multi-symplectic variational integrators for the Gross–Pitaevskii equations in BEC. Applied Mathematics Letters. 60. 120–125. 2 indexed citations
11.
Liang, Jiuzhen, et al.. (2016). Multi-symplectic variational integrators for nonlinear Schrödinger equations with variable coefficients. Chinese Physics B. 25(1). 10205–10205. 1 indexed citations
12.
Li, Wenxue, et al.. (2012). Numerical dynamics of a nonstandard finite difference method for a class of delay differential equations. Journal of Mathematical Analysis and Applications. 400(1). 25–34. 6 indexed citations
13.
Ding, Xiaohua, et al.. (2012). Nonstandard Finite Difference Variational Integrators for Multisymplectic PDEs. SHILAP Revista de lepidopterología. 2012(1). 5 indexed citations
14.
Wu, Kai‐Ning & Xiaohua Ding. (2012). Impulsive stabilization of delay difference equations and its application in Nicholson's blowflies model. Advances in Difference Equations. 2012(1). 7 indexed citations
15.
Ding, Xiaohua, et al.. (2011). A non-standard finite difference scheme for an epidemic model with vaccination. The Journal of Difference Equations and Applications. 19(2). 179–190. 24 indexed citations
16.
Ding, Xiaohua, et al.. (2010). Convergence and stability of the split-step θ-method for stochastic differential equations. Computers & Mathematics with Applications. 60(5). 1310–1321. 49 indexed citations
17.
Ding, Xiaohua, et al.. (2009). Solution of the Prey-predator Problem by He's Parameterized Perturbation Methods. International Journal of Nonlinear Sciences and Numerical Simulation. 10(9). 4 indexed citations
18.
Ding, Xiaohua, et al.. (2009). The numerical simulation of periodic solutions for a predator–prey system. Computers & Mathematics with Applications. 59(2). 868–879. 1 indexed citations
19.
Ding, Xiaohua, et al.. (2008). Existence of positive periodic solution for ratio-dependent N-species difference system. Applied Mathematical Modelling. 33(6). 2748–2756. 16 indexed citations
20.
Ding, Xiaohua, Kai‐Ning Wu, & Ming-Zhu Liu. (2006). Convergence and stability of the semi-implicit Euler method for linear stochastic delay integro-differential equations. International Journal of Computer Mathematics. 83(10). 753–761. 24 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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