Weijun Tan
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Ultrasound in Clinical Applications
Papers in
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- Error Correcting Code Techniques 9
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- Face recognition and analysis 4
- Co-authors
- Yi Hu (5 shared papers)Zhaowu Tao (4 shared papers)Wen Yin (4 shared papers)Mingli Yuan (4 shared papers)J.R. Cruz (11 shared papers)Jingfeng Liu (5 shared papers)Cheng Song (2 shared papers)Hongwei Guo (2 shared papers)
- Journals
- IEEE Transactions on Magnetics (9 papers)Shock (2 papers)Scientific Reports (1 paper)American Journal of Roentgenology (1 paper)Respiratory Research (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Weijun Tan
31 papers receiving 668 citations
Weijun Tan's Hit Papers
Peers
Comparison fields: 5 of 80
- Infectious Diseases 397
- Critical Care and Intensive Care Medicine 70
- Neurology 203
- Radiology, Nuclear Medicine and Imaging 231
- Health Informatics 10
Countries citing papers authored by Weijun Tan
This map shows the geographic impact of Weijun 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 Weijun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijun Tan more than expected).
Fields of papers citing papers by Weijun Tan
This network shows the impact of papers produced by Weijun 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 Weijun Tan. The network helps show where Weijun Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijun 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
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China Hit paper breakdown → | 2020 | 355 |
| 2 | 2020 | 49 | |
| 3 | 2020 | 40 | |
| 4 | 2020 | 30 | |
| 5 | 2020 | 24 | |
| 6 | 2024 | 18 | |
| 7 | 2020 | 18 | |
| 8 | 2004 | 16 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2005 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2004 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2007 | 9 | |
| 16 | 2003 | 9 | |
| 17 | 2004 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2022 | 6 | |
| 20 | 2004 | 5 |
About Weijun Tan
Weijun Tan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 32 papers that have together received 691 indexed citations. Recurring topics across this work include Cellular Automata and Applications (10 papers), Error Correcting Code Techniques (9 papers), Advanced Wireless Communication Techniques (6 papers), COVID-19 diagnosis using AI (5 papers), COVID-19 Clinical Research Studies (5 papers), Face recognition and analysis (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Infectious Diseases (397 citations), Critical Care and Intensive Care Medicine (70 citations), Neurology (203 citations), Radiology, Nuclear Medicine and Imaging (231 citations) and Health Informatics (10 citations). Weijun Tan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yi Hu, Zhaowu Tao, Wen Yin, Mingli Yuan, J.R. Cruz, Jingfeng Liu, Cheng Song, Hongwei Guo, Shuang Geng and Haitao Xia. Their work appears in journals such as IEEE Transactions on Magnetics, Shock, Scientific Reports, American Journal of Roentgenology and Respiratory Research.
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.