Lin Yang
- Modeling and Simulation top 0.05%
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Economics and Econometrics top 1%
- Health, Toxicology and Mutagenesis top 1%
- Co-authors
- Daihai HeShi ZhaoMaggie Haitian WangYijun LouDaozhou GaoWeiming WangSalihu S. MusaJinjun Ran
- Topics
- COVID-19 epidemiological studies (52 papers)Influenza Virus Research Studies (40 papers)Climate Change and Health Impacts (29 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Lin Yang
167 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Modeling and Simulation 2.6k
- Infectious Diseases 2.0k
- Epidemiology 1.3k
- Economics and Econometrics 1.0k
- Health, Toxicology and Mutagenesis 972
Countries citing papers authored by Lin Yang
This map shows the geographic impact of Lin Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Yang more than expected).
Fields of papers citing papers by Lin Yang
This network shows the impact of papers produced by Lin Yang. 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 Yang. The network helps show where Lin Yang may publish in the future.
Co-authorship network of co-authors of Lin Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Lin Yang. A scholar is included among the top collaborators of Lin Yang 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 Lin Yang. Lin Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | Maternal and Neonatal Outcomes of Pregnant Women With Coronavirus Disease 2019 (COVID-19) Pneumonia: A Case-Control Studybreakdown → | 263 |
| 8 | 2 | |
| 9 | 107 | |
| 10 | 302 | |
| 11 | 66 | |
| 12 | 47 | |
| 13 | 58 | |
| 14 | 21 | |
| 15 | 152 | |
| 16 | 31 | |
| 17 | 24 | |
| 18 | 12 | |
| 19 | [Study on clustering of Yunnan unexplained sudden death in household and village]. | 1 |
| 20 | 212 |
About Lin Yang
Lin Yang is a scholar working on Modeling and Simulation, Health, Toxicology and Mutagenesis and Health, having authored 176 papers that have together received 7.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (52 papers), Influenza Virus Research Studies (40 papers) and Climate Change and Health Impacts (29 papers). The work is most often cited by research in Modeling and Simulation (2.6k citations), Infectious Diseases (2.0k citations) and Health, Toxicology and Mutagenesis (972 citations). Lin Yang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Daihai He, Shi Zhao, Maggie Haitian Wang, Yijun Lou, Daozhou Gao, Weiming Wang, Salihu S. Musa, Jinjun Ran, Qianying Lin and Guangpu Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.
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.