Cui‐Qin Ma

1.4k total citations · 1 hit paper
25 papers, 1.1k citations indexed

About

Cui‐Qin Ma is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Numerical Analysis. According to data from OpenAlex, Cui‐Qin Ma has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 10 papers in Control and Systems Engineering and 3 papers in Numerical Analysis. Recurrent topics in Cui‐Qin Ma's work include Distributed Control Multi-Agent Systems (19 papers), Neural Networks Stability and Synchronization (15 papers) and Stability and Control of Uncertain Systems (5 papers). Cui‐Qin Ma is often cited by papers focused on Distributed Control Multi-Agent Systems (19 papers), Neural Networks Stability and Synchronization (15 papers) and Stability and Control of Uncertain Systems (5 papers). Cui‐Qin Ma collaborates with scholars based in China, Australia and Singapore. Cui‐Qin Ma's co-authors include Ji‐Feng Zhang, Tao Li, Lihua Xie, Zhengyan Qin, Yun‐Bo Zhao, Weiwei Zhao, Haidong Liu, Yu Kang, Guoqing Qi and Andong Sheng and has published in prestigious journals such as IEEE Transactions on Automatic Control, Applied Mathematics and Computation and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Cui‐Qin Ma

22 papers receiving 1.1k citations

Hit Papers

Necessary and Sufficient Conditions for Consensusability ... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cui‐Qin Ma China 11 1.0k 472 178 98 55 25 1.1k
Kaien Liu China 14 875 0.9× 404 0.9× 161 0.9× 123 1.3× 42 0.8× 30 956
Jingying Ma China 9 791 0.8× 307 0.7× 177 1.0× 113 1.2× 50 0.9× 14 882
Yunru Zhu China 13 778 0.8× 308 0.7× 149 0.8× 99 1.0× 48 0.9× 19 840
Ziyang Meng Sweden 14 903 0.9× 439 0.9× 130 0.7× 95 1.0× 117 2.1× 26 1.1k
Fenglan Sun China 16 618 0.6× 396 0.8× 77 0.4× 88 0.9× 37 0.7× 51 724
Jianxiang Xi China 17 816 0.8× 384 0.8× 196 1.1× 79 0.8× 85 1.5× 68 932
Fuyong Wang China 16 684 0.7× 399 0.8× 108 0.6× 84 0.9× 50 0.9× 80 804
Georg S. Seyboth Germany 9 1.2k 1.2× 629 1.3× 90 0.5× 232 2.4× 84 1.5× 15 1.3k
Hongyong Yang China 14 529 0.5× 290 0.6× 114 0.6× 117 1.2× 40 0.7× 61 669
Lipo Mo China 14 544 0.5× 248 0.5× 179 1.0× 39 0.4× 80 1.5× 73 703

Countries citing papers authored by Cui‐Qin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Cui‐Qin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cui‐Qin Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Cui‐Qin Ma. A scholar is included among the top collaborators of Cui‐Qin 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 Cui‐Qin Ma. Cui‐Qin 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.
Tan, Hong Z., et al.. (2025). Robust Bipartite Output Regulation with Time Delays: An Internal Model Principle Based Approach. Journal of Systems Science and Complexity. 38(4). 1614–1629.
2.
Liu, Ming, et al.. (2024). Hopf and Bogdanov–Takens Bifurcations of a Delayed Bazykin Model. Qualitative Theory of Dynamical Systems. 23(3).
3.
Hu, Dongpo, et al.. (2023). Multiple bifurcations in a mathematical model of glioma-immune interaction. Communications in Nonlinear Science and Numerical Simulation. 123. 107282–107282. 7 indexed citations
5.
Ma, Cui‐Qin, et al.. (2023). Observer-Based Adaptive Output Consensus for Singular Heterogeneous Multiagent Systems With Input Saturation. IEEE Systems Journal. 17(4). 6033–6044. 2 indexed citations
6.
Sheng, Andong, et al.. (2022). Consensus tracking for singular multi‐agent systems with Lipschitz nonlinear dynamics and external disturbances. International Journal of Robust and Nonlinear Control. 32(8). 4899–4922. 10 indexed citations
7.
Ma, Cui‐Qin, et al.. (2022). Leader-Following Cluster Consensus of Multiagent Systems With Measurement Noise and Weighted Cooperative–Competitive Networks. IEEE Transactions on Systems Man and Cybernetics Systems. 53(2). 1150–1159. 10 indexed citations
8.
Ma, Cui‐Qin, et al.. (2021). Cluster consensus for coupled harmonic oscillators under a weighted cooperative-competitive network. International Journal of Control. 95(12). 3344–3352. 1 indexed citations
9.
Ma, Cui‐Qin, et al.. (2019). Sign‐Consensus of Linear Multiagent Systems under a State Observer Protocol. Complexity. 2019(1). 2 indexed citations
10.
Zhao, Yun‐Bo, Zhihong Man, Jongrae Kim, & Cui‐Qin Ma. (2018). Using Communication Networks in Control Systems: The Theoretical and Practical Challenges. Journal of Control Science and Engineering. 2018. 1–2. 5 indexed citations
11.
Ma, Cui‐Qin, Weiwei Zhao, & Yun‐Bo Zhao. (2018). Bipartite Consensus of Discrete-Time Double-Integrator Multi-Agent Systems with Measurement Noise. Journal of Systems Science and Complexity. 31(6). 1525–1540. 10 indexed citations
12.
Ma, Cui‐Qin & Lihua Xie. (2018). Necessary and Sufficient Conditions for Leader-Following Bipartite Consensus With Measurement Noise. IEEE Transactions on Systems Man and Cybernetics Systems. 50(5). 1976–1981. 84 indexed citations
13.
Ma, Cui‐Qin, et al.. (2018). Event-Triggered Bipartite Consensus of Single-Integrator Multi-Agent Systems with Measurement Noise. Journal of Control Science and Engineering. 2018. 1–9. 3 indexed citations
14.
Ma, Cui‐Qin, Zhengyan Qin, & Yun‐Bo Zhao. (2017). Bipartite consensus of integrator multi‐agent systems with measurement noise. IET Control Theory and Applications. 11(18). 3313–3320. 24 indexed citations
15.
Ma, Cui‐Qin & Zhengyan Qin. (2016). Bipartite consensus on networks of agents with antagonistic interactions and measurement noises. IET Control Theory and Applications. 10(17). 2306–2313. 42 indexed citations
16.
Liu, Haidong & Cui‐Qin Ma. (2013). Oscillation Criteria for Second-Order Neutral Delay Dynamic Equations with Nonlinearities Given by Riemann-Stieltjes Integrals. Abstract and Applied Analysis. 2013. 1–9. 6 indexed citations
17.
Ma, Cui‐Qin & Ji‐Feng Zhang. (2012). On formability of linear continuous-time multi-agent systems. Journal of Systems Science and Complexity. 25(1). 13–29. 113 indexed citations
18.
Ma, Cui‐Qin, Tao Li, & Ji‐Feng Zhang. (2010). Consensus control for leader-following multi-agent systems with measurement noises. Journal of Systems Science and Complexity. 23(1). 35–49. 167 indexed citations
19.
Ma, Cui‐Qin & Ji‐Feng Zhang. (2010). Necessary and Sufficient Conditions for Consensusability of Linear Multi-Agent Systems. IEEE Transactions on Automatic Control. 55(5). 1263–1268. 568 indexed citations breakdown →
20.
Ma, Cui‐Qin, Tao Li, & Ji‐Feng Zhang. (2008). Leader-Following Consensus Control for Multi-Agent Systems Under Measurement Noises. IFAC Proceedings Volumes. 41(2). 1528–1533. 17 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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