Xiaoli Chen

790 total citations
37 papers, 519 citations indexed

About

Xiaoli Chen is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis and Modeling and Simulation. According to data from OpenAlex, Xiaoli Chen has authored 37 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 9 papers in Numerical Analysis and 8 papers in Modeling and Simulation. Recurrent topics in Xiaoli Chen's work include Differential Equations and Numerical Methods (7 papers), Probabilistic and Robust Engineering Design (7 papers) and Model Reduction and Neural Networks (7 papers). Xiaoli Chen is often cited by papers focused on Differential Equations and Numerical Methods (7 papers), Probabilistic and Robust Engineering Design (7 papers) and Model Reduction and Neural Networks (7 papers). Xiaoli Chen collaborates with scholars based in China, United States and Singapore. Xiaoli Chen's co-authors include Jinqiao Duan, Dongfang Li, George Em Karniadakis, Ralph Riedel, Boya Zhou, Liu Yang, Yana Di, Xiaofan Li, Jürgen Kurths and Lili Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Xiaoli Chen

31 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Chen China 11 195 146 130 73 69 37 519
Bülent Karasözen Türkiye 16 195 1.0× 57 0.4× 335 2.6× 32 0.4× 30 0.4× 89 871
Tayfun Çimen Türkiye 10 86 0.4× 64 0.4× 67 0.5× 36 0.5× 9 0.1× 17 1.2k
Reiichiro Kawai Japan 15 60 0.3× 66 0.5× 63 0.5× 44 0.6× 152 2.2× 76 730
Kazem Nouri Iran 14 48 0.2× 281 1.9× 206 1.6× 11 0.2× 27 0.4× 52 551
Dante Kalise United Kingdom 13 96 0.5× 63 0.4× 50 0.4× 20 0.3× 17 0.2× 40 526
Hasnaa Zidani France 18 57 0.3× 84 0.6× 206 1.6× 8 0.1× 30 0.4× 69 1.0k
A. Yu. Aleksandrov Russia 17 87 0.4× 30 0.2× 42 0.3× 24 0.3× 4 0.1× 146 1.1k
Ömür Uğur Türkiye 12 31 0.2× 33 0.2× 35 0.3× 45 0.6× 12 0.2× 38 298
A. García Spain 13 66 0.3× 129 0.9× 98 0.8× 17 0.2× 3 0.0× 49 552
Dennis G. Zill United States 9 35 0.2× 60 0.4× 76 0.6× 12 0.2× 9 0.1× 17 512

Countries citing papers authored by Xiaoli Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Chen. A scholar is included among the top collaborators of Xiaoli Chen 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 Xiaoli Chen. Xiaoli Chen 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.
Yi, Ming, et al.. (2025). Data driven discovery of escape phenomena in stochastic systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(5).
2.
Chen, Xiaoli, et al.. (2025). Investigation into the reduction of aerodynamic drag via external windshields on high-speed trains. Journal of Engineering and Applied Science. 72(1).
3.
Zhao, Yusheng, et al.. (2024). Early identification of scientific breakthroughs through outlier analysis based on research entities. Journal of Data and Information Science. 9(4). 90–109.
4.
5.
Chen, Xiaoli, et al.. (2024). Research on aerodynamic characteristics of high-velocity train bogies. SHILAP Revista de lepidopterología. 71(1). 1 indexed citations
6.
Chen, Xiaoli, et al.. (2023). Detecting stochastic governing laws with observation on stationary distributions. Physica D Nonlinear Phenomena. 448. 133691–133691. 3 indexed citations
7.
Chen, Xiaoli, et al.. (2023). Identifying stochastic governing equations from data of the most probable transition trajectories. Stochastics and Dynamics. 23(8).
8.
Chen, Xiaoli, et al.. (2023). Solving nonconvex energy minimization problems in martensitic phase transitions with a mesh-free deep learning approach. Computer Methods in Applied Mechanics and Engineering. 416. 116384–116384. 3 indexed citations
9.
Chen, Xiaoli, Beatrice W. Soh, Zi‐En Ooi, et al.. (2023). Constructing custom thermodynamics using deep learning. Nature Computational Science. 4(1). 66–85. 8 indexed citations
10.
Gao, Ting, et al.. (2022). An optimal control method to compute the most likely transition path for stochastic dynamical systems with jumps. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(5). 51102–51102. 9 indexed citations
11.
Chen, Xiaoli, et al.. (2022). An Onsager–Machlup approach to the most probable transition pathway for a genetic regulatory network. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(4). 41103–41103. 2 indexed citations
12.
Li, Lili, et al.. (2022). On high order numerical schemes for fractional differential equations by block-by-block approach. Applied Mathematics and Computation. 425. 127098–127098. 4 indexed citations
13.
Chen, Xiaoli, Liu Yang, Jinqiao Duan, & George Em Karniadakis. (2021). Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker--Planck Equation and Physics-Informed Neural Networks. SIAM Journal on Scientific Computing. 43(3). B811–B830. 75 indexed citations
14.
Chen, Xiaoli, Jinqiao Duan, & George Em Karniadakis. (2020). Learning and meta-learning of stochastic advection–diffusion–reaction systems from sparse measurements. European Journal of Applied Mathematics. 32(3). 397–420. 33 indexed citations
15.
Wu, Fengyan, Xiaoli Chen, Yayun Zheng, et al.. (2018). Lévy noise induced transition and enhanced stability in a gene regulatory network. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(7). 75510–75510. 28 indexed citations
16.
Chen, Xiaoli, Yana Di, Jinqiao Duan, & Dongfang Li. (2018). Linearized compact ADI schemes for nonlinear time-fractional Schrödinger equations. Applied Mathematics Letters. 84. 160–167. 61 indexed citations
17.
Chen, Xiaoli, Hesheng Luo, Xiaoyi Li, et al.. (2018). miR-331-3p functions as an oncogene by targeting ST7L in pancreatic cancer. Carcinogenesis. 39(8). 1006–1015. 38 indexed citations
18.
Chen, Xiaoli, Jinqiao Duan, & Dongfang Li. (2018). A Newton linearized compact finite difference scheme for one class of Sobolev equations. Numerical Methods for Partial Differential Equations. 34(3). 1093–1112. 9 indexed citations
19.
Chen, Xiaoli, et al.. (2017). Challenges and Requirements for the Application of Industry 4.0: A Special Insight with the Usage of Cyber-Physical System. Chinese Journal of Mechanical Engineering. 30(5). 1050–1057. 73 indexed citations
20.
Chen, Xiaoli, et al.. (2010). Design of Embedded Wireless Video Surveillance System Based on Internet. 31. 1–4. 2 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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