Xiaohua Ding

754 total citations
52 papers, 604 citations indexed

About

Xiaohua Ding is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Control and Systems Engineering. According to data from OpenAlex, Xiaohua Ding has authored 52 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Networks and Communications, 13 papers in Statistical and Nonlinear Physics and 11 papers in Control and Systems Engineering. Recurrent topics in Xiaohua Ding's work include Neural Networks Stability and Synchronization (31 papers), Nonlinear Dynamics and Pattern Formation (17 papers) and stochastic dynamics and bifurcation (10 papers). Xiaohua Ding is often cited by papers focused on Neural Networks Stability and Synchronization (31 papers), Nonlinear Dynamics and Pattern Formation (17 papers) and stochastic dynamics and bifurcation (10 papers). Xiaohua Ding collaborates with scholars based in China and United States. Xiaohua Ding's co-authors include Sen Li, Ying Guo, Huan Su, Kai‐Ning Wu, Yingjian Li, Wei Zhao, Mingzhu Liu, Lei Zhang, Wenxue Li and Fengying Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Solar Energy and Pattern Recognition.

In The Last Decade

Xiaohua Ding

47 papers receiving 584 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 16 400 199 137 130 67 52 604
Jiafu Wang China 12 265 0.7× 188 0.9× 143 1.0× 51 0.4× 69 1.0× 27 566
Lian Duan China 16 438 1.1× 225 1.1× 145 1.1× 74 0.6× 97 1.4× 39 754
Liguo Yuan China 12 249 0.6× 332 1.7× 135 1.0× 122 0.9× 168 2.5× 22 743
Xiang Wu China 11 204 0.5× 185 0.9× 61 0.4× 74 0.6× 100 1.5× 32 444
Yu Huang China 14 121 0.3× 337 1.7× 165 1.2× 188 1.4× 60 0.9× 69 732
Xueyan Yang China 11 637 1.6× 315 1.6× 96 0.7× 491 3.8× 70 1.0× 23 1.0k
Tiejun Zhou China 11 174 0.4× 100 0.5× 59 0.4× 41 0.3× 45 0.7× 57 386
Shouming Zhong China 17 421 1.1× 138 0.7× 85 0.6× 528 4.1× 61 0.9× 61 799
S. Mohamad Australia 7 531 1.3× 301 1.5× 78 0.6× 82 0.6× 33 0.5× 13 632
Mohammed-Salah Abdelouahab Algeria 10 180 0.5× 241 1.2× 106 0.8× 45 0.3× 176 2.6× 28 488

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.
Chen, Bao, Yuchao Tang, & Xiaohua Ding. (2024). A novel adaptive non-convex TV<inline-formula><tex-math id="M1">$ ^{p,q} $</tex-math></inline-formula> model in image restoration. Inverse Problems and Imaging. 19(4). 734–763.
3.
Ding, Xiaohua, et al.. (2023). Slide deep reinforcement learning networks: Application for left ventricle segmentation. Pattern Recognition. 141. 109667–109667. 5 indexed citations
4.
Chen, Bao, et al.. (2023). A novel variable exponent non-convex TVp,q(x) model in image restoration. Applied Mathematics Letters. 145. 108791–108791.
6.
Chen, Bao, et al.. (2022). A novel low-light enhancement via fractional-order and low-rank regularized retinex model. Computational and Applied Mathematics. 42(1). 5 indexed citations
7.
Liu, Xiaozhen, Kai‐Ning Wu, Xiaohua Ding, & Weihai Zhang. (2021). Boundary Stabilization of Stochastic Delayed Cohen–Grossberg Neural Networks With Diffusion Terms. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 3227–3237. 24 indexed citations
8.
Li, Sen, Jiankun Sun, & Xiaohua Ding. (2021). Improved almost sure stability criteria of stochastic complex-valued dynamical networks with hybrid impulses. Neurocomputing. 465. 525–539. 4 indexed citations
9.
Li, Sen, et al.. (2019). Stabilization of stochastic Markovian switching systems on networks with multilinks based on aperiodically intermittent control: A new differential inequality technique. International Journal of Robust and Nonlinear Control. 30(1). 373–396. 3 indexed citations
10.
Ding, Xiaohua, et al.. (2018). The projected explicit Itô–Taylor methods for stochastic differential equations under locally Lipschitz conditions and polynomial growth conditions. Journal of Computational and Applied Mathematics. 348. 161–180. 5 indexed citations
11.
Li, Sen, Huan Su, & Xiaohua Ding. (2018). Synchronized stationary distribution of hybrid stochastic coupled systems with applications to coupled oscillators and a Chua’s circuits network. Journal of the Franklin Institute. 355(17). 8743–8765. 34 indexed citations
12.
Guo, Ying, Wei Zhao, & Xiaohua Ding. (2018). Input-to-state stability for stochastic multi-group models with multi-dispersal and time-varying delay. Applied Mathematics and Computation. 343. 114–127. 40 indexed citations
13.
Guo, Ying, Xiaohua Ding, & Yingjian Li. (2016). Stochastic stability for pantograph multi-group models with dispersal and stochastic perturbation. Journal of the Franklin Institute. 353(13). 2980–2998. 32 indexed citations
14.
Ding, Xiaohua, et al.. (2015). Persistence and extinction for stochastic logistic model with Levy noise and impulsive perturbation. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Li, Wenxue, et al.. (2013). Preservation of Hopf bifurcation for neutral delay-differential equations byθ-methods. Journal of Computational and Applied Mathematics. 248. 76–87. 4 indexed citations
16.
Ding, Xiaohua, et al.. (2013). Dynamic consistent non-standard numerical scheme for a dengue disease transmission model. The Journal of Difference Equations and Applications. 20(3). 492–505. 15 indexed citations
17.
Ding, Xiaohua. (2011). Design scheme for monitoring system of distributed power generation. Dianli zidonghua shebei. 1 indexed citations
18.
Ding, Xiaohua, et al.. (2010). Numerical simulation of periodic solutions for a class of numerical discretization neural networks. Mathematical and Computer Modelling. 52(1-2). 386–396. 3 indexed citations
19.
Su, Huan & Xiaohua Ding. (2008). Dynamics of a nonstandard finite-difference scheme for Mackey–Glass system. Journal of Mathematical Analysis and Applications. 344(2). 932–941. 19 indexed citations
20.
Ding, Xiaohua, Tao Duan, Marina Siirin, et al.. (2005). NUCLEOTIDE AND AMINO ACID CHANGES IN WEST NILE VIRUS STRAINS EXHIBITING RENAL TROPISM IN HAMSTERS. American Journal of Tropical Medicine and Hygiene. 73(4). 803–807. 27 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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