Mengbin Ye

1.8k citations
67 papers · 1.0k indexed · h-index 19

Impact in

Papers in

Mengbin Ye

62 papers receiving 1.0k citations

Peers

Mengbin Ye
Comparison fields: 5 of 76
  • Statistical and Nonlinear Physics 538
  • Modeling and Simulation 106
  • Computer Networks and Communications 347
  • Communication 98
  • Control and Systems Engineering 125
Replace Anton V. Proskurnikov with:
Anton V. Proskurnikov Russia
Osman Yağan United States
Sergei Parsegov Russia
Ye Wu China
Shiwen Sun China
Zhiyong Yu China
Pietro De Lellis Italy
Zhongqian Fu China
Christopher Griffin United States
Mengbin Ye relative to Anton V. Proskurnikov Russia Anton V. Proskurnikov's profile →
Citations per field
00.5×1.5×2.4×
Anton V. Proskurnikov · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mengbin Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mengbin Ye Line = papers co-authored together Mengbin Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 201981
3 201778
4 201855
5 201947
6 202044
7 202140
8 202140
9 202038
10 201737
11 202024
12 202024
13 202023
14 201623
15 202222
16 201920
17 202120
18 201619
19 201718
20 201717

About Mengbin Ye

Mengbin Ye is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Public Health, Environmental and Occupational Health, Modeling and Simulation and Sociology and Political Science, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (34 papers), Opinion Dynamics and Social Influence (34 papers), Distributed Control Multi-Agent Systems (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), COVID-19 epidemiological studies (10 papers), Evolution and Genetic Dynamics (8 papers), Neural Networks Stability and Synchronization (6 papers) and Evolutionary Game Theory and Cooperation (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (538 citations), Modeling and Simulation (106 citations), Computer Networks and Communications (347 citations), Communication (98 citations) and Control and Systems Engineering (125 citations). Mengbin Ye has collaborated with scholars based in Australia, China and Netherlands. Frequent co-authors include Brian D. O. Anderson, Ming Cao, Changbin Yu, Lorenzo Zino, Ji Liu, Jiahu Qin, Qingchen Liu, Minh Hoang Trinh, Hyo‐Sung Ahn and Yuzhen Qin. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica, SIAM Journal on Applied Dynamical Systems, IEEE Transactions on Computational Social Systems and IEEE Transactions on Aerospace and Electronic Systems.

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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