Kunpeng Mu
- Modeling and Simulation top 0.1%
- Economics and Econometrics top 1%
- Infectious Diseases top 5%
- Epidemiology top 10%
- Sociology and Political Science top 5%
- Co-authors
- Marco AjelliAlessandro VespignaniMatteo ChinazziJessica T. DavisAna Pastore y PionttiLuca RossiKaiyuan SunMaria Litvinova
- Topics
- COVID-19 epidemiological studies (5 papers)Advanced Image Fusion Techniques (3 papers)SARS-CoV-2 and COVID-19 Research (3 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Kunpeng Mu
8 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Modeling and Simulation 1.6k
- Economics and Econometrics 886
- Infectious Diseases 495
- Epidemiology 431
- Sociology and Political Science 317
Countries citing papers authored by Kunpeng Mu
This map shows the geographic impact of Kunpeng Mu'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 Kunpeng Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunpeng Mu more than expected).
Fields of papers citing papers by Kunpeng Mu
This network shows the impact of papers produced by Kunpeng Mu. 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 Kunpeng Mu. The network helps show where Kunpeng Mu may publish in the future.
Co-authorship network of co-authors of Kunpeng Mu
This figure shows the co-authorship network connecting the top 25 collaborators of Kunpeng Mu. A scholar is included among the top collaborators of Kunpeng Mu 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 Kunpeng Mu. Kunpeng Mu 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 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 70 | |
| 9 | The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreakbreakdown → | 2411 |
About Kunpeng Mu
Kunpeng Mu is a scholar working on Modeling and Simulation, Media Technology and Infectious Diseases, having authored 9 papers that have together received 2.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Advanced Image Fusion Techniques (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Modeling and Simulation (1.6k citations), Transportation (278 citations) and Economics and Econometrics (886 citations). Kunpeng Mu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Marco Ajelli, Alessandro Vespignani, Matteo Chinazzi, Jessica T. Davis, Ana Pastore y Piontti, Luca Rossi, Kaiyuan Sun, Maria Litvinova, Stefano Merler and Cécile Viboud. Their work appears in journals such as Nature, Science and PLoS Computational Biology.
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.