Ke Lin
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 4
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- Sepsis Diagnosis and Treatment 4
- Co-authors
- Guilan Kong (8 shared papers)Yonghua Hu (4 shared papers)Philip J. de Groot (2 shared papers)Harrie J. Kools (2 shared papers)Arjen Lommen (2 shared papers)Ram Kumar Basnet (2 shared papers)Guido Hooiveld (2 shared papers)Anand Gavai (2 shared papers)
- Journals
- Emerging Microbes & Infections (3 papers)Frontiers in Immunology (2 papers)Nature Communications (1 paper)Wireless Networks (1 paper)International Journal of Medical Informatics (1 paper)
- Partner nations
- ChinaNetherlandsHong Kong
In The Last Decade
Ke Lin
22 papers receiving 586 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 23
- Health Information Management 38
- Family Practice 12
- Nephrology 42
- Epidemiology 129
Countries citing papers authored by Ke Lin
This map shows the geographic impact of Ke Lin'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 Ke Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Lin more than expected).
Fields of papers citing papers by Ke Lin
This network shows the impact of papers produced by Ke Lin. 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 Ke Lin. The network helps show where Ke Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 127 | |
| 2 | 2019 | 113 | |
| 3 | 2020 | 106 | |
| 4 | 2011 | 56 | |
| 5 | 2023 | 42 | |
| 6 | 2023 | 28 | |
| 7 | 2019 | 19 | |
| 8 | 2021 | 13 | |
| 9 | 2017 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2023 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2022 | 7 | |
| 16 | [Application of support vector machine in predicting in-hospital mortality risk of patients with acute kidney injury in ICU]. | 2018 | 4 |
| 17 | 2016 | 3 | |
| 18 | Comparison of immunogenicity of simultaneous and nonsimultaneous vaccination with MMR and JE vaccine among 15-month-old children. | 1999 | 3 |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Ke Lin
Ke Lin is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Neurology and Artificial Intelligence, having authored 24 papers that have together received 591 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Sepsis Diagnosis and Treatment (4 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers), Machine Learning in Healthcare (2 papers), Gene expression and cancer classification (1 paper), Inflammation biomarkers and pathways (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Health Informatics (23 citations), Health Information Management (38 citations), Family Practice (12 citations), Nephrology (42 citations) and Epidemiology (129 citations). Ke Lin has collaborated with scholars based in China, Netherlands and Hong Kong. Frequent co-authors include Guilan Kong, Yonghua Hu, Philip J. de Groot, Harrie J. Kools, Arjen Lommen, Ram Kumar Basnet, Guido Hooiveld, Anand Gavai, Xiaowu Wang and Richard G. F. Visser. Their work appears in journals such as Emerging Microbes & Infections, Frontiers in Immunology, Nature Communications, Wireless Networks and International Journal of Medical Informatics.
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.