Wantao Jia

540 total citations
39 papers, 435 citations indexed

About

Wantao Jia is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Modeling and Simulation. According to data from OpenAlex, Wantao Jia has authored 39 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistical and Nonlinear Physics, 20 papers in Statistics, Probability and Uncertainty and 7 papers in Modeling and Simulation. Recurrent topics in Wantao Jia's work include Probabilistic and Robust Engineering Design (20 papers), stochastic dynamics and bifurcation (14 papers) and Model Reduction and Neural Networks (8 papers). Wantao Jia is often cited by papers focused on Probabilistic and Robust Engineering Design (20 papers), stochastic dynamics and bifurcation (14 papers) and Model Reduction and Neural Networks (8 papers). Wantao Jia collaborates with scholars based in China, Germany and Algeria. Wantao Jia's co-authors include Yong Xu, Jürgen Kurths, Xiaole Yue, Wei Xu, Wei Xu, Hui Huang, Yongge Li, Di Liu, Meijuan He and Haiyan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Wantao Jia

36 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wantao Jia China 12 252 172 118 75 74 39 435
Z.L. Huang China 8 221 0.9× 166 1.0× 117 1.0× 85 1.1× 104 1.4× 13 427
Haiwu Rong China 12 190 0.8× 159 0.9× 57 0.5× 88 1.2× 116 1.6× 28 424
Pengfei Xu China 12 293 1.2× 151 0.9× 29 0.2× 83 1.1× 68 0.9× 28 456
Z.L. Huang China 12 337 1.3× 321 1.9× 83 0.7× 206 2.7× 204 2.8× 20 733
Ruilan Tian China 11 263 1.0× 35 0.2× 40 0.3× 109 1.5× 90 1.2× 22 418
Youhua Qian China 11 152 0.6× 74 0.4× 92 0.8× 80 1.1× 99 1.3× 60 431
Zhongjin Guo China 14 158 0.6× 43 0.3× 281 2.4× 131 1.7× 128 1.7× 34 455
A. Hernández Spain 16 309 1.2× 36 0.2× 505 4.3× 49 0.7× 95 1.3× 29 736
Liangqiang Zhou China 11 169 0.7× 13 0.1× 31 0.3× 87 1.2× 54 0.7× 48 328
Haiyang Hu China 17 162 0.6× 21 0.1× 346 2.9× 73 1.0× 88 1.2× 32 516

Countries citing papers authored by Wantao Jia

Since Specialization
Citations

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

Fields of papers citing papers by Wantao Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wantao Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Wantao Jia. A scholar is included among the top collaborators of Wantao Jia 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 Wantao Jia. Wantao Jia 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.
Jia, Wantao, et al.. (2025). Physics-Informed Neural Networks with hybrid sampling for stationary Fokker–Planck–Kolmogorov Equation. Physica A Statistical Mechanics and its Applications. 663. 130434–130434. 3 indexed citations
2.
Fan, Lin, et al.. (2025). Probabilistic density evolution of maglev train levitation systems using residual-augmented physics-informed neural networks. Reliability Engineering & System Safety. 269. 112053–112053.
3.
4.
Jia, Wantao, et al.. (2025). Neural controller for targeting a desired stationary distribution in stochastic systems. International Journal of Non-Linear Mechanics. 174. 105058–105058. 1 indexed citations
5.
Asjad, Muhammad Imran, et al.. (2025). AI-powered prediction of hybrid nanofluid dynamics over a cylinder via LM optimized neural network approach. Scientific Reports. 15(1). 37217–37217.
6.
7.
Imran, Muhammad, et al.. (2025). Machine learning-based Bayesian regularization algorithm for thermal analysis of tri-hybrid nanofluid flow over a stretched sheet. International Communications in Heat and Mass Transfer. 169. 109761–109761. 2 indexed citations
8.
Zhang, Hao, et al.. (2025). Radial-basis-function neural network for solving the transient probability density function under composite stochastic noise. Physical review. E. 112(1). 15306–15306. 1 indexed citations
9.
Jia, Wantao, et al.. (2024). Data-driven methods for the inverse problem of suspension system excited by jump and diffusion stochastic track excitation. International Journal of Non-Linear Mechanics. 166. 104819–104819. 7 indexed citations
10.
He, Meijuan, Lingyun Li, Wantao Jia, & Jiangang Zhang. (2024). Stochastic resonance in time-delayed bistable coupled network systems driven by Gaussian white noise. Chinese Journal of Physics. 95. 1004–1017. 1 indexed citations
11.
Jia, Wantao, et al.. (2024). Stochastic dynamics analysis of quasi-partially integrable Hamiltonian system based on NN-SAM. International Journal of Non-Linear Mechanics. 170. 104993–104993. 1 indexed citations
12.
Ning, Xin, et al.. (2023). A novel method for solving response of stochastic vibro-impact systems with two stoppers. Journal of Sound and Vibration. 558. 117778–117778. 7 indexed citations
13.
Jia, Wantao, et al.. (2022). Synchronization in phase-coupled oscillator with attractive–repulsive frequencies. Journal of Statistical Mechanics Theory and Experiment. 2022(8). 83401–83401. 1 indexed citations
14.
Li, Yongge, et al.. (2022). Synchronization in the network-frustrated coupled oscillator with attractive-repulsive frequencies. Physical review. E. 106(5). 54212–54212. 2 indexed citations
15.
Jia, Wantao, Yong Xu, & Dongxi Li. (2018). Stochastic Dynamics of a Time-Delayed Ecosystem Driven by Poisson White Noise Excitation. Entropy. 20(2). 143–143. 11 indexed citations
16.
He, Meijuan, Wei Xu, Zhongkui Sun, & Wantao Jia. (2017). Characterizing stochastic resonance in coupled bistable system with Poisson white noises via statistical complexity measures. Nonlinear Dynamics. 88(2). 1163–1171. 30 indexed citations
17.
Jia, Wantao, Yong Xu, Zhonghua Liu, & Weiqiu Zhu. (2017). An asymptotic method for quasi-integrable Hamiltonian system with multi-time-delayed feedback controls under combined Gaussian and Poisson white noises. Nonlinear Dynamics. 90(4). 2711–2727. 12 indexed citations
18.
Xu, Wei, et al.. (2015). Random vibrations of Rayleigh vibroimpact oscillator under Parametric Poisson white noise. Communications in Nonlinear Science and Numerical Simulation. 33. 19–29. 14 indexed citations
19.
Yang, Yong-Ge, et al.. (2014). Stationary response of nonlinear system with Caputo-type fractional derivative damping under Gaussian white noise excitation. Nonlinear Dynamics. 79(1). 139–146. 29 indexed citations
20.
Liu, Weiyan, Weiqiu Zhu, & Wantao Jia. (2013). Stochastic stability of quasi-integrable and non-resonant Hamiltonian systems under parametric excitations of combined Gaussian and Poisson white noises. International Journal of Non-Linear Mechanics. 58. 191–198. 15 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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