Shengjie Lai
- Modeling and Simulation top 0.1%
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Public Health, Environmental and Occupational Health top 1%
- Economics and Econometrics top 2%
- Co-authors
- Andrew J. TatemHongjie YuZhongjie LiNick RuktanonchaiGeorge F. GaoJessica FloydOlivia ProsperAmy Wesolowski
- Topics
- COVID-19 epidemiological studies (49 papers)Data-Driven Disease Surveillance (33 papers)Influenza Virus Research Studies (32 papers)
- Journals
- NatureScienceNature Medicine
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shengjie Lai
143 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Modeling and Simulation 1.8k
- Infectious Diseases 1.6k
- Epidemiology 1.3k
- Public Health, Environmental and Occupational Health 1.1k
- Economics and Econometrics 615
Countries citing papers authored by Shengjie Lai
This map shows the geographic impact of Shengjie Lai'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 Shengjie Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengjie Lai more than expected).
Fields of papers citing papers by Shengjie Lai
This network shows the impact of papers produced by Shengjie Lai. 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 Shengjie Lai. The network helps show where Shengjie Lai may publish in the future.
Co-authorship network of co-authors of Shengjie Lai
This figure shows the co-authorship network connecting the top 25 collaborators of Shengjie Lai. A scholar is included among the top collaborators of Shengjie Lai 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 Shengjie Lai. Shengjie Lai 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 | 9 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 23 | |
| 8 | 67 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 89 | |
| 12 | 133 | |
| 13 | 6 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 33 | |
| 18 | 63 | |
| 19 | [Preliminary application on China Infectious Diseases Automated-alert and Response System (CIDARS), between 2008 and 2010]. | 4 |
| 20 | 11 |
About Shengjie Lai
Shengjie Lai is a scholar working on Modeling and Simulation, Infectious Diseases and Transportation, having authored 147 papers that have together received 5.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (49 papers), Data-Driven Disease Surveillance (33 papers) and Influenza Virus Research Studies (32 papers). The work is most often cited by research in Modeling and Simulation (1.8k citations), Infectious Diseases (1.6k citations) and Transportation (415 citations). Shengjie Lai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Andrew J. Tatem, Hongjie Yu, Zhongjie Li, Nick Ruktanonchai, George F. Gao, Jessica Floyd, Olivia Prosper, Amy Wesolowski, Jinfeng Wang and Wei Luo. Their work appears in journals such as Nature, Science and Nature Medicine.
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.