Qingchu Wu
- Statistical and Nonlinear Physics top 1%
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health top 10%
- Sociology and Political Science
- Computer Networks and Communications top 10%
- Co-authors
- Xinchu FuMichael SmallXin‐Jian XuShufang ChenTarik HadzibeganovicHuaxiang LiuHaifeng ZhangFei Zhang
- Topics
- Complex Network Analysis Techniques (40 papers)Opinion Dynamics and Social Influence (33 papers)Mathematical and Theoretical Epidemiology and Ecology Models (23 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsPublic Health, Environmental and Occupational Health
In The Last Decade
Qingchu Wu
41 papers receiving 619 citations
Peers
Comparison fields: 5 of 45
- Statistical and Nonlinear Physics 506
- Modeling and Simulation 293
- Public Health, Environmental and Occupational Health 239
- Sociology and Political Science 87
- Computer Networks and Communications 66
Countries citing papers authored by Qingchu Wu
This map shows the geographic impact of Qingchu Wu'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 Qingchu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingchu Wu more than expected).
Fields of papers citing papers by Qingchu Wu
This network shows the impact of papers produced by Qingchu Wu. 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 Qingchu Wu. The network helps show where Qingchu Wu may publish in the future.
Co-authorship network of co-authors of Qingchu Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Qingchu Wu. A scholar is included among the top collaborators of Qingchu Wu 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 Qingchu Wu. Qingchu Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 16 | |
| 9 | 14 | |
| 10 | 21 | |
| 11 | 23 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 19 | |
| 15 | 17 | |
| 16 | 2 | |
| 17 | 32 | |
| 18 | 8 | |
| 19 | 27 | |
| 20 | Global stability of SIS epidemic model with infective medium on complex networks | 3 |
About Qingchu Wu
Qingchu Wu is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health, having authored 43 papers that have together received 644 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (40 papers), Opinion Dynamics and Social Influence (33 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (23 papers). The work is most often cited by research in Modeling and Simulation (293 citations), Statistical and Nonlinear Physics (506 citations) and Public Health, Environmental and Occupational Health (239 citations). Qingchu Wu has collaborated with scholars based in China, Australia and Austria. Frequent co-authors include Xinchu Fu, Michael Small, Xin‐Jian Xu, Shufang Chen, Tarik Hadzibeganovic, Huaxiang Liu, Haifeng Zhang, Fei Zhang, Zhaoyan Wu and Yijun Lou. Their work appears in journals such as Scientific Reports, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.
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.