Xiaoxin Liao

3.4k total citations
96 papers, 2.5k citations indexed

About

Xiaoxin Liao is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Control and Systems Engineering. According to data from OpenAlex, Xiaoxin Liao has authored 96 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Networks and Communications, 40 papers in Statistical and Nonlinear Physics and 25 papers in Control and Systems Engineering. Recurrent topics in Xiaoxin Liao's work include Neural Networks Stability and Synchronization (40 papers), Chaos control and synchronization (26 papers) and Nonlinear Dynamics and Pattern Formation (22 papers). Xiaoxin Liao is often cited by papers focused on Neural Networks Stability and Synchronization (40 papers), Chaos control and synchronization (26 papers) and Nonlinear Dynamics and Pattern Formation (22 papers). Xiaoxin Liao collaborates with scholars based in China, Canada and Hong Kong. Xiaoxin Liao's co-authors include Jun Wang, Zhigang Zeng, Pei Yu, Xuerong Mao, Xinzhi Liu, Guanrong Chen, S. Blythe, Qi Luo, Pei Yu and Yuli Fu and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Geoscience and Remote Sensing and Physics Letters A.

In The Last Decade

Xiaoxin Liao

94 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoxin Liao China 28 1.9k 1.3k 729 515 436 96 2.5k
Chaouki Aouiti Tunisia 31 2.1k 1.1× 957 0.7× 963 1.3× 408 0.8× 529 1.2× 114 2.6k
Yi Shen China 30 2.8k 1.5× 2.0k 1.5× 510 0.7× 591 1.1× 1.3k 3.1× 100 3.6k
Daoyi Xu China 30 1.8k 0.9× 1.0k 0.8× 539 0.7× 812 1.6× 212 0.5× 80 2.5k
Haibo Bao China 27 2.0k 1.0× 1.2k 0.9× 605 0.8× 380 0.7× 764 1.8× 79 2.4k
Juan Yu China 33 2.9k 1.5× 1.5k 1.2× 730 1.0× 468 0.9× 696 1.6× 80 3.3k
Baotong Cui China 27 1.5k 0.8× 723 0.6× 645 0.9× 847 1.6× 307 0.7× 178 2.2k
Ivanka Stamova United States 30 1.6k 0.8× 1.0k 0.8× 623 0.9× 796 1.5× 186 0.4× 176 3.1k
Jianwen Feng China 32 3.0k 1.5× 1.4k 1.1× 322 0.4× 608 1.2× 478 1.1× 150 3.4k
Éva Kaslik Romania 19 781 0.4× 675 0.5× 484 0.7× 233 0.5× 160 0.4× 66 1.5k
Huaiqin Wu China 26 1.5k 0.8× 734 0.6× 368 0.5× 349 0.7× 377 0.9× 95 1.7k

Countries citing papers authored by Xiaoxin Liao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxin Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxin Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxin Liao. A scholar is included among the top collaborators of Xiaoxin Liao 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 Xiaoxin Liao. Xiaoxin Liao 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.
Huang, Jinhua, et al.. (2015). Sufficient and necessary conditions for Lyapunov stability of genetic networks with SUM regulatory logic. Cognitive Neurodynamics. 9(4). 447–458. 2 indexed citations
2.
Liao, Xiaoxin, Qi Luo, & Zhigang Zeng. (2007). Positive invariant and global exponential attractive sets of neural networks with time-varying delays. Neurocomputing. 71(4-6). 513–518. 66 indexed citations
3.
Liao, Xiaoxin. (2006). Lasalle-type theorems for neutral stochastic functional differential equations. Control theory & applications. 1 indexed citations
4.
Liao, Xiaoxin. (2005). Exponential Stability of Differential Systems with Separated Variables and Time Delays. Journal of Central South University of Technology(Natural Science). 3 indexed citations
5.
Liao, Xiaoxin, et al.. (2005). Synchronization and Parameters Identification of Chaotic Systems via Adaptive Control. 2 indexed citations
6.
Liu, Xinzhi, et al.. (2005). Global exponential stability of high order Hopfield type neural networks. Applied Mathematics and Computation. 174(1). 98–116. 44 indexed citations
7.
Liao, Xiaoxin, et al.. (2005). ON GLOBAL EXPONENTIAL SYNCHRONIZATION OF CHUA CIRCUITS. International Journal of Bifurcation and Chaos. 15(7). 2227–2234. 14 indexed citations
8.
Zeng, Zhigang, Jun Wang, & Xiaoxin Liao. (2005). Global asymptotic stability and global exponential stability of neural networks with unbounded time-varying delays. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing. 52(3). 168–173. 98 indexed citations
9.
Liao, Xiaoxin. (2003). Exponential stability for stochastic interval delayed Hopfield neural networks. Control theory & applications. 2 indexed citations
10.
Liu, Bin, et al.. (2003). Robust dissipativity and feedback stabilization for interval linear impulsive systems. Control theory & applications. 2 indexed citations
11.
Liu, Xinzhi, et al.. (2003). Global asymptotic stability of high-order Hopfield type neural networks with time delays. Computers & Mathematics with Applications. 45(10-11). 1729–1737. 95 indexed citations
12.
Liu, Bin, Xinzhi Liu, & Xiaoxin Liao. (2003). Robust stability of uncertain impulsive dynamical systems. Journal of Mathematical Analysis and Applications. 290(2). 519–533. 53 indexed citations
13.
Liu, Bin, Xinzhi Liu, & Xiaoxin Liao. (2003). Stability and robustness of quasi-linear impulsive hybrid systems. Journal of Mathematical Analysis and Applications. 283(2). 416–430. 35 indexed citations
14.
Liao, Xiaoxin & Jun Wang. (2003). Global dissipativity of continuous-time recurrent neural networks with time delay. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(1). 16118–16118. 105 indexed citations
15.
Liao, Xiaoxin. (2002). On asympotic behavior of solutions to several classes of discrete dynamical systems. Science China Mathematics. 45(4). 432–442. 1 indexed citations
16.
Ma, Shiwang, Xiaoxin Liao, & Jian Wu. (2002). Traveling Wave Solutions for Planar Lattice Differential Systems with Applications to Neural Networks. Journal of Differential Equations. 182(2). 269–297. 13 indexed citations
17.
Liao, Xiaoxin, et al.. (2001). Stability of general neural networks with reaction-diffusion. Science in China Series F Information Sciences. 44(5). 389–395. 34 indexed citations
18.
Liao, Xiaoxin, et al.. (1998). Stability of bidirectional associative memory neural networks with delays. Journal of Electronics (China). 15(4). 372–377. 7 indexed citations
19.
Liao, Xiaoxin. (1995). Mathematical theory of cellular neural networks (II). 38(5). 542–551. 14 indexed citations
20.
Liao, Xiaoxin. (1989). NECESSARY AND SUFFICIENT CONDITIONS FOR ABSOLUTE STABILITY OF LURIE INDIRECT CONTROL SYSTEMS. 32(9). 1047–1061. 5 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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