Lin Wang
Impact in
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- COVID-19 epidemiological studies 54
-
- Complex Network Analysis Techniques 36
- Opinion Dynamics and Social Influence 29
- Co-authors
- Zhen WangZhanwei DuBenjamin J. CowlingXiao-Ke XuXiang LiLauren Ancel MeyersMatjaž PercSimon Cauchemez
- Journals
- Viruses (9 papers)Emerging infectious diseases (7 papers)Physica A Statistical Mechanics and its Applications (6 papers)Journal of Travel Medicine (5 papers)Physics of Life Reviews (5 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lin Wang
210 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Modeling and Simulation 2.0k
- Statistical and Nonlinear Physics 1.5k
- Infectious Diseases 1.5k
- Public Health, Environmental and Occupational Health 1.0k
- Health 247
Countries citing papers authored by Lin Wang
This map shows the geographic impact of Lin Wang'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 Lin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Wang more than expected).
Fields of papers citing papers by Lin Wang
This network shows the impact of papers produced by Lin Wang. 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 Lin Wang. The network helps show where Lin Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 0 | |
| 13 | Social physics Hit paper breakdown → | 2022 | 375 |
| 14 | 2022 | 13 | |
| 15 | 2022 | 37 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 22 | |
| 18 | 2021 | 13 | |
| 19 | 2020 | 114 | |
| 20 | 2020 | 217 |
About Lin Wang
Lin Wang is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Infectious Diseases, Epidemiology and Health, having authored 238 papers that have together received 6.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (54 papers), Complex Network Analysis Techniques (36 papers), Opinion Dynamics and Social Influence (29 papers), SARS-CoV-2 and COVID-19 Research (26 papers), Influenza Virus Research Studies (21 papers), Evolutionary Game Theory and Cooperation (16 papers), Respiratory viral infections research (13 papers) and COVID-19 Clinical Research Studies (13 papers). The work is most often cited by research in Modeling and Simulation (2.0k citations), Statistical and Nonlinear Physics (1.5k citations), Infectious Diseases (1.5k citations), Public Health, Environmental and Occupational Health (1.0k citations) and Health (247 citations). Lin Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhen Wang, Zhanwei Du, Benjamin J. Cowling, Xiao-Ke Xu, Xiang Li, Lauren Ancel Meyers, Matjaž Perc, Simon Cauchemez, Chengyi Xia and Zhi-Xi Wu. Their work appears in journals such as Viruses, Emerging infectious diseases, Physica A Statistical Mechanics and its Applications, Journal of Travel Medicine and Physics of Life Reviews.
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.