Maoxing Liu
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 1%
- Statistical and Nonlinear Physics top 5%
- Genetics
- Computer Networks and Communications top 10%
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (52 papers)COVID-19 epidemiological studies (35 papers)Opinion Dynamics and Social Influence (23 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Maoxing Liu
74 papers receiving 880 citations
Peers
Comparison fields: 5 of 122
- Public Health, Environmental and Occupational Health 376
- Modeling and Simulation 317
- Statistical and Nonlinear Physics 227
- Genetics 175
- Computer Networks and Communications 114
Countries citing papers authored by Maoxing Liu
This map shows the geographic impact of Maoxing Liu'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 Maoxing Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maoxing Liu more than expected).
Fields of papers citing papers by Maoxing Liu
This network shows the impact of papers produced by Maoxing Liu. 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 Maoxing Liu. The network helps show where Maoxing Liu may publish in the future.
Co-authorship network of co-authors of Maoxing Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Maoxing Liu. A scholar is included among the top collaborators of Maoxing Liu 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 Maoxing Liu. Maoxing Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 33 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | Effect of noise on the synchronization of bidirectionally coupled time-delayed systems | 1 |
| 19 | 37 | |
| 20 | An Age-structured Dynamic Model of HIV | 2 |
About Maoxing Liu
Maoxing Liu is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health, having authored 83 papers that have together received 918 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (52 papers), COVID-19 epidemiological studies (35 papers) and Opinion Dynamics and Social Influence (23 papers). The work is most often cited by research in Modeling and Simulation (317 citations), Statistical and Nonlinear Physics (227 citations) and Public Health, Environmental and Occupational Health (376 citations). Maoxing Liu has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Zhen Jin, Jingxuan Pan, Haiyan Wang, Delong Zeng, Yongzheng Sun, Gergely Röst, Hongping Hu, Jiong Ruan, Eduardo Liz and Yuankai Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.