Lipeng Song
- Public Health, Environmental and Occupational Health top 10%
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Modeling and Simulation top 2%
- Genetics
- Co-authors
- Zhen JinGui‐Quan SunLiping FengQingshan ZhaoHongbin WangJuan ZhangBai-Lian LiJuping Zhang
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (11 papers)Network Security and Intrusion Detection (10 papers)Complex Network Analysis Techniques (7 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lipeng Song
26 papers receiving 523 citations
Peers
Comparison fields: 5 of 101
- Public Health, Environmental and Occupational Health 248
- Computer Networks and Communications 208
- Statistical and Nonlinear Physics 138
- Modeling and Simulation 123
- Genetics 102
Countries citing papers authored by Lipeng Song
This map shows the geographic impact of Lipeng Song'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 Lipeng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lipeng Song more than expected).
Fields of papers citing papers by Lipeng Song
This network shows the impact of papers produced by Lipeng Song. 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 Lipeng Song. The network helps show where Lipeng Song may publish in the future.
Co-authorship network of co-authors of Lipeng Song
This figure shows the co-authorship network connecting the top 25 collaborators of Lipeng Song. A scholar is included among the top collaborators of Lipeng Song 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 Lipeng Song. Lipeng Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 29 | |
| 3 | 53 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 82 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 100 | |
| 16 | 9 | |
| 17 | 58 | |
| 18 | 36 | |
| 19 | 14 | |
| 20 | 31 |
About Lipeng Song
Lipeng Song is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 26 papers that have together received 537 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Network Security and Intrusion Detection (10 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Statistical and Nonlinear Physics (138 citations) and Computer Networks and Communications (208 citations). Lipeng Song has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhen Jin, Gui‐Quan Sun, Liping Feng, Qingshan Zhao, Hongbin Wang, Juan Zhang, Bai-Lian Li, Juan Zhang, Juping Zhang and Huaiping Zhu. Their work appears in journals such as PLoS ONE, Monthly Notices of the Royal Astronomical Society and Sensors.
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.