Mengbin Ye

1.8k total citations
67 papers, 1.0k citations indexed

About

Mengbin Ye is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mengbin Ye has authored 67 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistical and Nonlinear Physics, 17 papers in Computer Networks and Communications and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mengbin Ye's work include Complex Network Analysis Techniques (34 papers), Opinion Dynamics and Social Influence (34 papers) and Distributed Control Multi-Agent Systems (16 papers). Mengbin Ye is often cited by papers focused on Complex Network Analysis Techniques (34 papers), Opinion Dynamics and Social Influence (34 papers) and Distributed Control Multi-Agent Systems (16 papers). Mengbin Ye collaborates with scholars based in Australia, China and Netherlands. Mengbin Ye's co-authors include Brian D. O. Anderson, Ming Cao, Changbin Yu, Lorenzo Zino, Ji Liu, Qingchen Liu, Jiahu Qin, Minh Hoang Trinh, Hyo‐Sung Ahn and Yuzhen Qin and has published in prestigious journals such as Nature Communications, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Mengbin Ye

62 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengbin Ye Australia 19 538 347 179 125 119 67 1.0k
Anton V. Proskurnikov Russia 16 1.0k 1.9× 649 1.9× 305 1.7× 168 1.3× 38 0.3× 109 1.7k
Osman Yağan United States 18 574 1.1× 643 1.9× 91 0.5× 163 1.3× 352 3.0× 85 1.4k
Sergei Parsegov Russia 12 434 0.8× 468 1.3× 150 0.8× 296 2.4× 178 1.5× 32 1.1k
Ye Wu China 19 413 0.8× 441 1.3× 104 0.6× 42 0.3× 159 1.3× 117 1.4k
Zhiyong Yu China 21 410 0.8× 1.1k 3.0× 115 0.6× 364 2.9× 148 1.2× 107 1.5k
Pietro De Lellis Italy 20 761 1.4× 1.7k 4.9× 117 0.7× 283 2.3× 152 1.3× 90 2.4k
Shiwen Sun China 20 758 1.4× 247 0.7× 831 4.6× 54 0.4× 38 0.3× 60 1.7k
Christopher Griffin United States 16 130 0.2× 273 0.8× 171 1.0× 34 0.3× 94 0.8× 120 971
Zhongqian Fu China 13 887 1.6× 463 1.3× 59 0.3× 20 0.2× 127 1.1× 51 1.2k

Countries citing papers authored by Mengbin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Mengbin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengbin Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Mengbin Ye. A scholar is included among the top collaborators of Mengbin Ye 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 Mengbin Ye. Mengbin Ye 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.
Ye, Mengbin, et al.. (2025). Decentralised adaptive-gain control for eliminating epidemic spreading on networks. Automatica. 174. 112143–112143. 1 indexed citations
2.
Ye, Mengbin, et al.. (2024). Towards Understanding the Endemic Behavior of a Competitive Tri-virus SIS Networked Model. SIAM Journal on Applied Dynamical Systems. 23(2). 1372–1410. 1 indexed citations
3.
Zino, Lorenzo, Mengbin Ye, & Brian D. O. Anderson. (2023). On a bi-virus epidemic model with partial and waning immunity. IFAC-PapersOnLine. 56(2). 83–88. 1 indexed citations
4.
Ye, Mengbin, et al.. (2023). Coevolutionary Dynamics of Actions and Opinions in Social Networks. IEEE Transactions on Automatic Control. 68(12). 7708–7723. 14 indexed citations
5.
Zaidi, Zainab, et al.. (2023). Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets. Journal of Medical Internet Research. 25. e45069–e45069. 4 indexed citations
6.
Ye, Mengbin, et al.. (2023). On the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model. 2313–2318. 3 indexed citations
7.
Anderson, Brian D. O. & Mengbin Ye. (2023). Equilibria Analysis of a Networked Bivirus Epidemic Model Using Poincaré–Hopf and Manifold Theory. SIAM Journal on Applied Dynamical Systems. 22(4). 2856–2889. 7 indexed citations
8.
Zino, Lorenzo, Mengbin Ye, & Ming Cao. (2022). Facilitating innovation diffusion in social networks using dynamic norms. PNAS Nexus. 1(5). pgac229–pgac229. 9 indexed citations
9.
Zino, Lorenzo, et al.. (2022). A Mean-Field Analysis of a Network Behavioral–Epidemic Model. IEEE Control Systems Letters. 6. 2533–2538. 16 indexed citations
10.
Ye, Mengbin, Lorenzo Zino, Jan Willem Bolderdijk, et al.. (2021). Collective patterns of social diffusion are shaped by individual inertia and trend-seeking. Nature Communications. 12(1). 5698–5698. 40 indexed citations
11.
Ye, Mengbin, Ji Liu, Brian D. O. Anderson, & Ming Cao. (2021). Applications of the Poincaré–Hopf Theorem: Epidemic Models and Lotka–Volterra Systems. IEEE Transactions on Automatic Control. 67(4). 1609–1624. 20 indexed citations
12.
Ye, Mengbin, Lorenzo Zino, Alessandro Rizzo, & Ming Cao. (2021). Game-theoretic modeling of collective decision making during epidemics. Physical review. E. 104(2). 24314–24314. 40 indexed citations
13.
Zino, Lorenzo, Mengbin Ye, & Ming Cao. (2020). A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(8). 83107–83107. 38 indexed citations
14.
Ahn, Hyo‐Sung, Quoc Van Tran, Minh Hoang Trinh, et al.. (2020). Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis. IEEE Transactions on Computational Social Systems. 7(3). 632–647. 24 indexed citations
15.
Ye, Mengbin, et al.. (2019). Cooperative Localization of a GPS-Denied UAV Using Direction-of-Arrival Measurements. IEEE Transactions on Aerospace and Electronic Systems. 56(3). 1966–1978. 47 indexed citations
16.
Ye, Mengbin, et al.. (2019). Consensus and Disagreement of Heterogeneous Belief Systems in Influence Networks. IEEE Transactions on Automatic Control. 65(11). 4679–4694. 20 indexed citations
17.
Ye, Mengbin & Brian D. O. Anderson. (2019). Modelling of Individual Behaviour in the DeGroot–Friedkin Self-Appraisal Dynamics on Social Networks. University of Groningen research database (University of Groningen / Centre for Information Technology). 2011–2017. 7 indexed citations
18.
Anderson, Brian D. O. & Mengbin Ye. (2019). Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks. International Journal of Automation and Computing. 16(2). 129–149. 98 indexed citations
19.
Ye, Mengbin, Liu Ji, & Brian D. O. Anderson. (2018). On the Effects of Heterogeneous Logical Interdependencies in a Multi-Dimensional Opinion Dynamics Model. eSpace (Curtin University). 4372–4377. 3 indexed citations
20.
Ye, Mengbin, Liu Ji, Brian D. O. Anderson, Changbin Yu, & Tamer Başar. (2017). Modification of social dominance in social networks by selective adjustment of interpersonal weights. arXiv (Cornell University). 2906–2911. 3 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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