Jinlin Tan
Impact in
- Health top 10%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 4
-
- Bacillus and Francisella bacterial research 1
- Co-authors
- Guihai Chen (1 shared paper)Sajal K. Das (1 shared paper)Muhammad Khurram Khan (1 shared paper)Peng Zeng (1 shared paper)Junqin Huang (1 shared paper)Linghe Kong (1 shared paper)Xi Jin (1 shared paper)Lin Gan (3 shared papers)
- Journals
- Ceramics International (1 paper)International Journal of Environmental Research and Public Health (1 paper)Vaccines (1 paper)Pathogens (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- ChinaSaudi ArabiaHong Kong
In The Last Decade
Jinlin Tan
8 papers receiving 234 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Health 54
- Modeling and Simulation 25
- Computer Networks and Communications 87
- Infectious Diseases 54
- Information Systems 40
Countries citing papers authored by Jinlin Tan
This map shows the geographic impact of Jinlin Tan'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 Jinlin Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlin Tan more than expected).
Fields of papers citing papers by Jinlin Tan
This network shows the impact of papers produced by Jinlin Tan. 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 Jinlin Tan. The network helps show where Jinlin Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinlin Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Edge-computing-driven Internet of Things: A Survey Hit paper breakdown → | 2022 | 145 |
| 2 | 2021 | 54 | |
| 3 | 2024 | 16 | |
| 4 | 2022 | 12 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2017 | 1 | |
| 9 | 2023 | 0 |
About Jinlin Tan
Jinlin Tan is a scholar working on Infectious Diseases, Molecular Biology, Health, Modeling and Simulation and Surgery, having authored 9 papers that have together received 241 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 epidemiological studies (2 papers), Vaccine Coverage and Hesitancy (2 papers), IoT Networks and Protocols (1 paper), Discourse Analysis in Language Studies (1 paper), Caching and Content Delivery (1 paper) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Health (54 citations), Modeling and Simulation (25 citations), Computer Networks and Communications (87 citations), Infectious Diseases (54 citations) and Information Systems (40 citations). Jinlin Tan has collaborated with scholars based in China, Saudi Arabia and Hong Kong. Frequent co-authors include Guihai Chen, Sajal K. Das, Muhammad Khurram Khan, Peng Zeng, Junqin Huang, Linghe Kong, Xi Jin, Lin Gan, Dingmei Zhang and Yufen Li. Their work appears in journals such as Ceramics International, International Journal of Environmental Research and Public Health, Vaccines, Pathogens and ACM Computing Surveys.
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.