Jie Zhou
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 10%
- Public Health, Environmental and Occupational Health top 10%
- Economics and Econometrics top 10%
- Co-authors
- Zonghua LiuBaowen LiYong ZouMing TangShuguang GuanGaoxi XiaoJames P. GleesonDavide Cellai
- Topics
- Complex Network Analysis Techniques (34 papers)Opinion Dynamics and Social Influence (25 papers)Nonlinear Dynamics and Pattern Formation (14 papers)
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationComputer Networks and Communications
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jie Zhou
111 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 143
- Statistical and Nonlinear Physics 886
- Computer Networks and Communications 329
- Sociology and Political Science 171
- Public Health, Environmental and Occupational Health 153
- Economics and Econometrics 126
Countries citing papers authored by Jie Zhou
This map shows the geographic impact of Jie Zhou'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 Jie Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Zhou more than expected).
Fields of papers citing papers by Jie Zhou
This network shows the impact of papers produced by Jie Zhou. 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 Jie Zhou. The network helps show where Jie Zhou may publish in the future.
Co-authorship network of co-authors of Jie Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Zhou. A scholar is included among the top collaborators of Jie Zhou 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 Jie Zhou. Jie Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 27 | |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 14 | |
| 17 | 10 | |
| 18 | 141 | |
| 19 | 40 | |
| 20 | 34 |
About Jie Zhou
Jie Zhou is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Computer Networks and Communications, having authored 118 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (34 papers), Opinion Dynamics and Social Influence (25 papers) and Nonlinear Dynamics and Pattern Formation (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (886 citations), Modeling and Simulation (99 citations) and Computer Networks and Communications (329 citations). Jie Zhou has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zonghua Liu, Baowen Li, Yong Zou, Ming Tang, Shuguang Guan, Gaoxi Xiao, James P. Gleeson, Davide Cellai, Eduardo López and Ginestra Bianconi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.