Tiedong Ma

2.8k total citations · 2 hit papers
75 papers, 2.4k citations indexed

About

Tiedong Ma is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Control and Systems Engineering. According to data from OpenAlex, Tiedong Ma has authored 75 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Networks and Communications, 40 papers in Statistical and Nonlinear Physics and 16 papers in Control and Systems Engineering. Recurrent topics in Tiedong Ma's work include Neural Networks Stability and Synchronization (54 papers), Distributed Control Multi-Agent Systems (33 papers) and Chaos control and synchronization (32 papers). Tiedong Ma is often cited by papers focused on Neural Networks Stability and Synchronization (54 papers), Distributed Control Multi-Agent Systems (33 papers) and Chaos control and synchronization (32 papers). Tiedong Ma collaborates with scholars based in China, United States and Saudi Arabia. Tiedong Ma's co-authors include Zhiliang Wang, Bing Cui, Huaguang Zhang, Jie Fu, Yongduan Song, Kai Zhao, Guang-Bin Huang, He Liu, Yi Chai and Liping Chen and has published in prestigious journals such as IEEE Transactions on Automatic Control, Annals of Oncology and Expert Systems with Applications.

In The Last Decade

Tiedong Ma

73 papers receiving 2.2k citations

Hit Papers

Robust Global Exponential Synchronization of Uncertain Ch... 2009 2026 2014 2020 2009 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiedong Ma China 27 1.7k 892 784 329 255 75 2.4k
Baotong Cui China 27 1.5k 0.9× 723 0.8× 847 1.1× 645 2.0× 307 1.2× 178 2.2k
Deqiang Zeng China 23 1.3k 0.8× 629 0.7× 606 0.8× 324 1.0× 477 1.9× 49 1.9k
Yongqing Yang China 26 1.6k 0.9× 913 1.0× 280 0.4× 399 1.2× 342 1.3× 98 1.9k
Prakash Mani India 18 927 0.5× 539 0.6× 490 0.6× 329 1.0× 528 2.1× 45 1.5k
Juan Yu China 33 2.9k 1.7× 1.5k 1.7× 468 0.6× 730 2.2× 696 2.7× 80 3.3k
Wenbing Zhang China 32 3.0k 1.8× 986 1.1× 1.6k 2.1× 490 1.5× 482 1.9× 89 3.8k
Zhuzhi Yuan China 25 1.0k 0.6× 1.3k 1.4× 501 0.6× 195 0.6× 136 0.5× 144 2.2k
Jianwen Feng China 32 3.0k 1.8× 1.4k 1.6× 608 0.8× 322 1.0× 478 1.9× 150 3.4k
K. Mathiyalagan India 37 2.4k 1.4× 789 0.9× 2.0k 2.5× 544 1.7× 662 2.6× 114 3.4k
Ahmed Alsaedi Saudi Arabia 22 977 0.6× 414 0.5× 396 0.5× 358 1.1× 232 0.9× 44 1.3k

Countries citing papers authored by Tiedong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Tiedong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiedong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Tiedong Ma. A scholar is included among the top collaborators of Tiedong Ma 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 Tiedong Ma. Tiedong Ma 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.
Ma, Tiedong, et al.. (2025). Disturbance observer-based adaptive fuzzy finite-time cooperative control for high-order multi-agent systems with input saturation. Expert Systems with Applications. 276. 127179–127179. 3 indexed citations
3.
Cui, Bing, et al.. (2023). Fixed-Time Fault-Tolerant Consensus Control for High-Order Nonlinear Multiagent Systems Under Directed Topology. IEEE Transactions on Control of Network Systems. 11(1). 197–209. 14 indexed citations
4.
Zhang, Zhengle, et al.. (2023). Impulsive Consensus of One-Sided Lipschitz Multi-Agent Systems With Deception Attacks and Stochastic Perturbation. IEEE Transactions on Artificial Intelligence. 5(3). 1328–1338. 10 indexed citations
5.
Ma, Tiedong, Zhengle Zhang, & Rui Li. (2023). Discontinuous Adaptive Impulsive Control of Uncertain System With Extension in Stochastic Perturbation and Actuator Saturation. IEEE Transactions on Cybernetics. 54(1). 353–363. 13 indexed citations
6.
Ma, Tiedong, Zhengle Zhang, & Bing Cui. (2021). Distributed asynchronous impulsive consensus of one‐sided Lipschitz nonlinear multi‐agent systems. International Journal of Robust and Nonlinear Control. 31(18). 9094–9108. 7 indexed citations
7.
Ma, Tiedong, et al.. (2020). Impulsive Synchronization of Fractional-Order Chaotic Systems With Actuator Saturation and Control Gain Error. IEEE Access. 8. 36113–36119. 11 indexed citations
8.
Ma, Tiedong, et al.. (2019). Finite-time and fixed-time impulsive synchronization of chaotic systems. Journal of the Franklin Institute. 357(16). 11545–11557. 36 indexed citations
9.
Ma, Tiedong, Zhengle Zhang, & Bing Cui. (2018). Adaptive consensus of multi-agent systems via odd impulsive control. Neurocomputing. 321. 139–145. 25 indexed citations
10.
Wang, Liping, Dawei Gong, Binbin Zhang, & Tiedong Ma. (2016). Novel pinning control strategy for coupled neural networks with communication column graphs. Neurocomputing. 193. 260–267. 8 indexed citations
11.
Cui, Bing, Chunhui Zhao, Tiedong Ma, & Chi Feng. (2016). Leaderless and leader-following consensus of multi-agent chaotic systems with unknown time delays and switching topologies. Nonlinear Analysis Hybrid Systems. 24. 115–131. 41 indexed citations
12.
Ma, Tiedong, et al.. (2015). Robust sliding mode control for fractional-order chaotic economical system with parameter uncertainty and external disturbance. 中国物理B:英文版. 101–106. 1 indexed citations
13.
Ma, Tiedong, et al.. (2015). Impulsive consensus of multi-agent nonlinear systems with control gain error. Neurocomputing. 171. 293–298. 27 indexed citations
14.
Wang, Zhihui, et al.. (2015). Modified sliding mode synchronization of typical three-dimensional fractional-order chaotic systems. Neurocomputing. 166. 53–58. 25 indexed citations
15.
Cui, Bing, Tiedong Ma, Frank L. Lewis, et al.. (2015). Distributed adaptive consensus control of heterogeneous multi‐agent chaotic systems with unknown time delays. IET Control Theory and Applications. 9(16). 2414–2422. 30 indexed citations
16.
Ma, Tiedong, et al.. (2015). Adaptive hybrid projective synchronization of two coupled fractional-order complex networks with different sizes. Neurocomputing. 164. 182–189. 27 indexed citations
17.
Ma, Tiedong, et al.. (2012). Synchronization of hyperchaotic systems via improved impulsive control method. Acta Physica Sinica. 61(10). 100507–100507. 11 indexed citations
18.
Ma, Tiedong, et al.. (2012). Adaptive synchronization of a class of fractional-order chaotic systems. Acta Physica Sinica. 61(16). 160506–160506. 9 indexed citations
19.
Ma, Tiedong, et al.. (2012). Impulsive synchronization of fractional order hyperchaotic systems based on comparison system. Acta Physica Sinica. 61(9). 90503–90503. 12 indexed citations
20.
Zhang, Huaguang, Tiedong Ma, Guang-Bin Huang, & Zhiliang Wang. (2009). Robust Global Exponential Synchronization of Uncertain Chaotic Delayed Neural Networks via Dual-Stage Impulsive Control. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 40(3). 831–844. 337 indexed citations breakdown →

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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