Lianmei Jin

19.3k citations
11 papers · 101 indexed · h-index 5

Lianmei Jin

11 papers receiving 97 citations

Peers

Lianmei Jin
Comparison fields: 5 of 50
  • Modeling and Simulation 29
  • Infectious Diseases 45
  • Agronomy and Crop Science 18
  • Epidemiology 48
  • Obstetrics and Gynecology 7
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Citations per year

Countries citing papers authored by Lianmei Jin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Lianmei Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lianmei Jin Line = papers co-authored together Lianmei Jin links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20214
2
[Information obtained through Internet-based media surveillance regarding domestic public health emergencies in 2013].
20152
3
[Risk assessment of public health emergency and concerned infectious diseases in China, January 2014]
20141
4 20135
5 201359
6 20122
7
[Preliminary application on China Infectious Diseases Automated-alert and Response System (CIDARS), between 2008 and 2010].
20114
8
A nationwide web-based automated system for early outbreak detection and rapid response in China
20119
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)].
20112
10
[Comparison on the different thresholds on the 'moving percentile method' for outbreak detection].
20112
11 201011

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), Respiratory viral infections research (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Viral Infections and Outbreaks Research (2 papers), Streptococcal Infections and Treatments (2 papers), Plant Pathogenic Bacteria Studies (1 paper) and Viral Infections and Vectors (1 paper). 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.

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