Luyan Chen
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 2
- Obstetrics and Gynecology top 10%
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- Radiomics and Machine Learning in Medical Imaging 6
- COVID-19 diagnosis using AI 4
- Neurology top 10%
- Long-Term Effects of COVID-19 3
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
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- RNA modifications and cancer 3
- Journals
- Frontiers in Medicine (3 papers)BMC Microbiology (2 papers)Journal of Magnetic Resonance Imaging (2 papers)
- Partner nations
- ChinaMadagascarAustralia
In The Last Decade
Luyan Chen
31 papers receiving 709 citations
Peers
Comparison fields: 5 of 99
- Infectious Diseases 288
- Obstetrics and Gynecology 82
- Health Informatics 11
- Radiology, Nuclear Medicine and Imaging 187
- Neurology 110
Countries citing papers authored by Luyan Chen
This map shows the geographic impact of Luyan Chen'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 Luyan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luyan Chen more than expected).
Fields of papers citing papers by Luyan Chen
This network shows the impact of papers produced by Luyan Chen. 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 Luyan Chen. The network helps show where Luyan Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luyan Chen, 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 | 2024 | 1 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 63 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 58 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 27 | |
| 14 | 2020 | 34 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 9 | |
| 17 | 2019 | 1 | |
| 18 | 2017 | 4 | |
| 19 | 2013 | 38 | |
| 20 | 2011 | 18 |
About Luyan Chen
Luyan Chen is a scholar working on Health Informatics, Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Molecular Medicine and Endocrinology, having authored 34 papers that have together received 726 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 Clinical Research Studies (5 papers), COVID-19 diagnosis using AI (4 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Long-Term Effects of COVID-19 (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Infectious Diseases (288 citations), Obstetrics and Gynecology (82 citations), Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (187 citations) and Neurology (110 citations). Luyan Chen has collaborated with scholars based in China, Madagascar and Australia. Frequent co-authors include Shuixing Zhang, Shuyi Liu, Qiuying Chen, Bin Zhang, Lu Zhang, Yuhao Dong, Xiaoping Zhang, Wenhui Huang, Yujian Zou and Qingyang Zhong. Their work appears in journals such as Frontiers in Medicine, BMC Microbiology, Journal of Magnetic Resonance Imaging, Frontiers in Microbiology and Infection and Drug Resistance.
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.