Da‐Yan Liu

1.7k total citations
68 papers, 1.0k citations indexed

About

Da‐Yan Liu is a scholar working on Control and Systems Engineering, Modeling and Simulation and Numerical Analysis. According to data from OpenAlex, Da‐Yan Liu has authored 68 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Control and Systems Engineering, 32 papers in Modeling and Simulation and 10 papers in Numerical Analysis. Recurrent topics in Da‐Yan Liu's work include Advanced Control Systems Design (32 papers), Fractional Differential Equations Solutions (31 papers) and Control Systems and Identification (24 papers). Da‐Yan Liu is often cited by papers focused on Advanced Control Systems Design (32 papers), Fractional Differential Equations Solutions (31 papers) and Control Systems and Identification (24 papers). Da‐Yan Liu collaborates with scholars based in France, China and Saudi Arabia. Da‐Yan Liu's co-authors include Driss Boutat, Taous‐Meriem Laleg‐Kirati, Yan-Qiao Wei, Olivier Gibaru, Yiming Chen, Wilfrid Perruquetti, Xing Wei, Haoran Liu, Ze‐Hao Wu and Yanmin Zhao and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Computational Physics and Automatica.

In The Last Decade

Da‐Yan Liu

60 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da‐Yan Liu France 19 611 538 249 118 92 68 1.0k
Piotr Ostalczyk Poland 14 464 0.8× 435 0.8× 161 0.6× 128 1.1× 78 0.8× 53 818
Ramiro S. Barbosa Portugal 18 849 1.4× 595 1.1× 160 0.6× 177 1.5× 130 1.4× 60 1.3k
Nezha Maamri France 13 785 1.3× 630 1.2× 197 0.8× 159 1.3× 59 0.6× 51 1.0k
Driss Boutat France 21 966 1.6× 320 0.6× 112 0.4× 217 1.8× 89 1.0× 120 1.4k
G. Dongola Italy 11 692 1.1× 586 1.1× 188 0.8× 237 2.0× 50 0.5× 19 1.2k
Rachid Malti France 20 1.3k 2.2× 678 1.3× 144 0.6× 112 0.9× 76 0.8× 89 1.6k
Christophe Farges France 15 1.0k 1.7× 709 1.3× 145 0.6× 180 1.5× 58 0.6× 53 1.3k
Ľ. Dorčák Slovakia 11 928 1.5× 431 0.8× 123 0.5× 82 0.7× 79 0.9× 27 1.1k
Milan R. Rapaić Serbia 18 728 1.2× 275 0.5× 75 0.3× 93 0.8× 94 1.0× 88 1.0k
Abdellatif Ben Makhlouf Tunisia 20 569 0.9× 763 1.4× 212 0.9× 194 1.6× 73 0.8× 94 1.1k

Countries citing papers authored by Da‐Yan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Da‐Yan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da‐Yan Liu. 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 Da‐Yan Liu. The network helps show where Da‐Yan Liu may publish in the future.

Co-authorship network of co-authors of Da‐Yan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Da‐Yan Liu. A scholar is included among the top collaborators of Da‐Yan Liu 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 Da‐Yan Liu. Da‐Yan Liu 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.
Guo, Yue, Yuanbin Zhang, Yuanyuan Li, et al.. (2025). BKK1/BAK7 and TCP21 form a positive feedback loop to facilitate submergence tolerance in plants. Cell Reports. 44(6). 115788–115788.
2.
Zhang, Jin‐Xi, Xuefeng Zhang, Driss Boutat, & Da‐Yan Liu. (2025). Fractional-Order Complex Systems: Advanced Control, Intelligent Estimation and Reinforcement Learning Image-Processing Algorithms. Fractal and Fractional. 9(2). 67–67. 3 indexed citations
3.
Liu, Da‐Yan, Xing Wei, Yan-Qiao Wei, Driss Boutat, & Haoran Liu. (2024). Modulating functions based state estimator for Caputo fractional systems. IFAC-PapersOnLine. 58(12). 197–202.
4.
Wei, Yan-Qiao, Da‐Yan Liu, Changchun Hua, & Cong Zhang. (2024). Online algebraic disturbance estimation method for linear systems with noisy state measurements. Journal of the Franklin Institute. 362(1). 107442–107442.
5.
Wu, Xiang, Xujun Yang, Da‐Yan Liu, & Chuandong Li. (2024). Wirtinger-based fractional summation inequality for stability analysis of nabla discrete fractional-order time-delay systems. Nonlinear Dynamics. 112(19). 17055–17068. 2 indexed citations
6.
Wang, Meiqing, Ximing J. Yang, Da‐Yan Liu, et al.. (2023). Altered brain iron deposition in patients with minimal hepatic encephalopathy: an MRI quantitative susceptibility mapping study. Clinical Radiology. 79(3). e369–e375.
7.
Liu, Jie, et al.. (2023). Observer normal form design for the nonlinear MIMO systems using coupled auxiliary dynamics. Communications in Nonlinear Science and Numerical Simulation. 126. 107492–107492. 2 indexed citations
8.
Wang, Zhibo, Da‐Yan Liu, Driss Boutat, Xuefeng Zhang, & Peng Shi. (2023). Nonasymptotic Fractional Derivative Estimation of the Pseudo-State for a Class of Fractional-Order Partial Unknown Nonlinear Systems. IEEE Transactions on Cybernetics. 53(11). 7392–7405. 19 indexed citations
9.
Xing, Shuangyun, et al.. (2023). An improved iterative algorithm for solving optimal tracking control problems of stochastic systems. Mathematics and Computers in Simulation. 213. 515–526. 1 indexed citations
10.
Wang, Lei, Da‐Yan Liu, & Olivier Gibaru. (2023). Estimators for Fractional Derivative and Integral of the State of Linear Systems Based on Modulating Functions Method. 215–220. 1 indexed citations
11.
Wu, Huaiqin, et al.. (2023). Output-feedback consensus control for fractional nonlinear multi-agent systems via a distributed dynamic event-triggered observer strategy. Information Sciences. 646. 119380–119380. 8 indexed citations
12.
13.
Wei, Yan-Qiao, Da‐Yan Liu, Changchun Hua, YangQuan Chen, & Driss Boutat. (2023). Algebraic Estimation Method of Multiple Disturbances for a Class of Fractional Order Linear Systems*. 1 indexed citations
14.
Liu, Jie, Da‐Yan Liu, Driss Boutat, et al.. (2023). Non-asymptotic modulating functions based state and derivative estimation for singular systems. IFAC-PapersOnLine. 56(2). 9849–9854. 1 indexed citations
15.
Wang, Jiachang, Da‐Yan Liu, Driss Boutat, & Yong Wang. (2022). An innovative modulating functions method for pseudo-state estimation of fractional order systems. ISA Transactions. 136. 334–344. 6 indexed citations
16.
Wei, Xing, Da‐Yan Liu, Driss Boutat, & Yiming Chen. (2019). Algebraic Fractional Order Differentiator Based on the Pseudo-State Space Representation. Fractional Calculus and Applied Analysis. 22(5). 1395–1413. 1 indexed citations
17.
Chen, Yiming, et al.. (2015). Numerical solution for a class of nonlinear variable order fractional differential equations with Legendre wavelets. Applied Mathematics Letters. 46. 83–88. 106 indexed citations
18.
Boutat, Driss, et al.. (2015). Observer design for a class of nonlinear piecewise systems. Application to an epidemic model with treatment. Mathematical Biosciences. 271. 128–135. 3 indexed citations
19.
Liu, Da‐Yan & Taous‐Meriem Laleg‐Kirati. (2014). Robust fractional order differentiators using generalized modulating functions method. Signal Processing. 107. 395–406. 39 indexed citations
20.
Liu, Da‐Yan, Olivier Gibaru, & Wilfrid Perruquetti. (2010). Differentiation by integration with Jacobi polynomials. Journal of Computational and Applied Mathematics. 235(9). 3015–3032. 30 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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