Lianmei Jin
- Epidemiology
- Infectious Diseases
- Modeling and Simulation top 10%
- Agronomy and Crop Science
- Public Health, Environmental and Occupational Health
- Co-authors
- Shengjie LaiQun LiYing SongYanping ZhangLing MengLei ZhouZijian FengWenxiao Tu
- Topics
- Data-Driven Disease Surveillance (6 papers)Influenza Virus Research Studies (5 papers)Respiratory viral infections research (3 papers)
- Partner nations
- ChinaTaiwanPhilippines
In The Last Decade
Lianmei Jin
11 papers receiving 97 citations
Peers
Comparison fields: 5 of 50
- Epidemiology 48
- Infectious Diseases 45
- Modeling and Simulation 29
- Agronomy and Crop Science 18
- Public Health, Environmental and Occupational Health 14
Countries citing papers authored by Lianmei Jin
This map shows the geographic impact of Lianmei Jin'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 Lianmei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lianmei Jin more than expected).
Fields of papers citing papers by Lianmei Jin
This network shows the impact of papers produced by Lianmei Jin. 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 Lianmei Jin. The network helps show where Lianmei Jin may publish in the future.
Co-authorship network of co-authors of Lianmei Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Lianmei Jin. A scholar is included among the top collaborators of Lianmei Jin 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 Lianmei Jin. Lianmei Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | [Information obtained through Internet-based media surveillance regarding domestic public health emergencies in 2013]. | 2 |
| 3 | [Risk assessment of public health emergency and concerned infectious diseases in China, January 2014] | 1 |
| 4 | 5 | |
| 5 | 59 | |
| 6 | 2 | |
| 7 | [Preliminary application on China Infectious Diseases Automated-alert and Response System (CIDARS), between 2008 and 2010]. | 4 |
| 8 | A nationwide web-based automated system for early outbreak detection and rapid response in China | 9 |
| 9 | [Comparison on the performance of both temporal and temporal-spatial models for outbreak detection through China Infectious Diseases Automated-alert and Response System (CIDARS)]. | 2 |
| 10 | [Comparison on the different thresholds on the 'moving percentile method' for outbreak detection]. | 2 |
| 11 | 11 |
About Lianmei Jin
Lianmei Jin is a scholar working on Clinical Biochemistry, Epidemiology and Infectious Diseases, having authored 11 papers that have together received 101 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (6 papers), Influenza Virus Research Studies (5 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Modeling and Simulation (29 citations), Infectious Diseases (45 citations) and Agronomy and Crop Science (18 citations). Lianmei Jin has collaborated with scholars based in China, Taiwan and Philippines. Frequent co-authors include Shengjie Lai, Qun Li, Ying Song, Yanping Zhang, Ling Meng, Lei Zhou, Zijian Feng, Wenxiao Tu, Yang Cao and Jiaqi Ma. Their work appears in journals such as Journal of Bacteriology, Emerging infectious diseases and Infection Genetics and Evolution.
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.