Ailong Wu

3.3k total citations · 1 hit paper
77 papers, 2.8k citations indexed

About

Ailong Wu is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Ailong Wu has authored 77 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Networks and Communications, 51 papers in Statistical and Nonlinear Physics and 30 papers in Electrical and Electronic Engineering. Recurrent topics in Ailong Wu's work include Neural Networks Stability and Synchronization (67 papers), stochastic dynamics and bifurcation (41 papers) and Advanced Memory and Neural Computing (30 papers). Ailong Wu is often cited by papers focused on Neural Networks Stability and Synchronization (67 papers), stochastic dynamics and bifurcation (41 papers) and Advanced Memory and Neural Computing (30 papers). Ailong Wu collaborates with scholars based in China, Australia and United States. Ailong Wu's co-authors include Zhigang Zeng, Shiping Wen, Jin‐E Zhang, Jian Xiao, Tingwen Huang, Ling Liu, Leon O. Chua, Yiran Chen, Xiaoxuan Yang and Leimin Wang and has published in prestigious journals such as IEEE Access, Information Sciences and Physics Letters A.

In The Last Decade

Ailong Wu

74 papers receiving 2.7k citations

Hit Papers

Synchronization control of a class of memristor-based rec... 2011 2026 2016 2021 2011 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Synchronization control of a class of memristor-based recurrent neural networks
    2011 336 citations Ailong Wu, Shiping Wen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ailong Wu China 24 2.3k 1.6k 1.5k 540 278 77 2.8k
Juebang Yu China 20 998 0.4× 855 0.5× 396 0.3× 389 0.7× 167 0.6× 106 1.6k
Ioannis Stouboulos Greece 23 835 0.4× 1.4k 0.9× 281 0.2× 224 0.4× 144 0.5× 118 1.9k
Chunlai Li China 27 547 0.2× 1.1k 0.7× 465 0.3× 299 0.6× 116 0.4× 92 1.8k
Guangyi Wang China 28 754 0.3× 1.5k 1.0× 1.3k 0.9× 321 0.6× 121 0.4× 113 2.3k
Sabri Arik Türkiye 39 4.3k 1.9× 1.6k 1.0× 1.5k 1.0× 2.3k 4.2× 913 3.3× 102 4.7k
C. Sánchez‐López Mexico 22 409 0.2× 708 0.4× 978 0.6× 287 0.5× 115 0.4× 105 1.7k
Hairong Lin China 38 1.3k 0.5× 2.5k 1.5× 2.0k 1.3× 1.0k 1.9× 77 0.3× 72 4.0k
Sichun Du China 23 385 0.2× 748 0.5× 710 0.5× 357 0.7× 82 0.3× 73 1.6k
I. Μ. Kyprianidis Greece 19 781 0.3× 1.2k 0.8× 211 0.1× 164 0.3× 100 0.4× 85 1.6k
Mauro Di Marco Italy 21 687 0.3× 457 0.3× 556 0.4× 312 0.6× 184 0.7× 90 1.2k

Countries citing papers authored by Ailong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ailong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ailong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ailong Wu. A scholar is included among the top collaborators of Ailong Wu 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 Ailong Wu. Ailong Wu 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.
Ruan, Xiaoli, et al.. (2024). Dynamic event-triggered consensus for stochastic delay multi-agent systems under directed topology. Journal of the Franklin Institute. 361(18). 107314–107314. 2 indexed citations
2.
Zhang, Fanghai, Tingwen Huang, Ailong Wu, & Zhigang Zeng. (2024). Mittag-Leffler stability and application of delayed fractional-order competitive neural networks. Neural Networks. 179. 106501–106501. 12 indexed citations
3.
Xiao, Jian, et al.. (2023). Fixed/predefined-time synchronization of memristive neural networks based on state variable index coefficient. Neurocomputing. 560. 126849–126849. 10 indexed citations
4.
Wu, Ailong, et al.. (2023). Asymptotical Stability and Exponential Stability in Mean Square of Impulsive Stochastic Time-Varying Neural Network. IEEE Access. 11. 39394–39404. 2 indexed citations
5.
Wu, Ailong, et al.. (2023). Stabilization of hybrid stochastic differential equations with multiple delays via intermittent control. Mathematical Methods in the Applied Sciences. 47(4). 2941–2951. 1 indexed citations
6.
Wu, Ailong, Yue Chen, & Zhigang Zeng. (2021). Quantization synchronization of chaotic neural networks with time delay under event-triggered strategy. Cognitive Neurodynamics. 15(5). 897–914. 9 indexed citations
7.
Xiao, Jian, Zhigang Zeng, Ailong Wu, & Shiping Wen. (2020). Fixed-time synchronization of delayed Cohen–Grossberg neural networks based on a novel sliding mode. Neural Networks. 128. 1–12. 50 indexed citations
8.
9.
Wu, Ailong, Ling Liu, Tingwen Huang, & Zhigang Zeng. (2016). Mittag-Leffler stability of fractional-order neural networks in the presence of generalized piecewise constant arguments. Neural Networks. 85. 118–127. 88 indexed citations
10.
Liu, Ling, et al.. (2016). Global $$O(t^{-\alpha })$$ O ( t - α ) stabilization of fractional-order memristive neural networks with time delays. SpringerPlus. 5(1). 1034–1034. 6 indexed citations
11.
Wu, Ailong & Zhigang Zeng. (2016). Output Convergence of Fuzzy Neurodynamic System With Piecewise Constant Argument of Generalized Type and Time-Varying Input. IEEE Transactions on Systems Man and Cybernetics Systems. 46(12). 1689–1702. 39 indexed citations
12.
Wu, Ailong, et al.. (2015). Boundedness, Mittag-Leffler stability and asymptotical ω-periodicity of fractional-order fuzzy neural networks. Neural Networks. 74. 73–84. 66 indexed citations
13.
Wu, Ailong & Zhigang Zeng. (2015). Global Mittag–Leffler Stabilization of Fractional-Order Memristive Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 28(1). 206–217. 223 indexed citations
14.
Wu, Ailong, et al.. (2015). Global Mittag–Leffler stabilization of fractional-order bidirectional associative memory neural networks. Neurocomputing. 177. 489–496. 85 indexed citations
15.
Wu, Ailong & Zhigang Zeng. (2014). An improved criterion for stability and attractability of memristive neural networks with time-varying delays. Neurocomputing. 145. 316–323. 15 indexed citations
16.
Wu, Ailong & Zhigang Zeng. (2013). Exponential passivity of memristive neural networks with time delays. Neural Networks. 49. 11–18. 85 indexed citations
17.
Wu, Ailong, Zhigang Zeng, & Jian Xiao. (2013). Dynamic evolution evoked by external inputs in memristor-based wavelet neural networks with different memductance functions. Advances in Difference Equations. 2013(1). 9 indexed citations
18.
Wu, Ailong & Zhigang Zeng. (2012). Dynamic behaviors of memristor-based recurrent neural networks with time-varying delays. Neural Networks. 36. 1–10. 165 indexed citations
19.
Wu, Ailong, et al.. (2010). Global Asymptotical Stability of Delayed Impulsive Neural Networks without Lipschitz Neuron Activations. European Journal of Pure and Applied Mathematics. 3(5). 806–818. 4 indexed citations
20.
Wu, Ailong, et al.. (2010). Global exponential stability in Lagrange sense for periodic neural networks with various activation functions. Neurocomputing. 74(5). 831–837. 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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