Luyan Chen
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Obstetrics and Gynecology top 10%
- COVID-19 Impact on Reproduction
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 6
- COVID-19 diagnosis using AI 4
- Oncology 8
- Co-authors
- Shuixing Zhang (14 shared papers)Shuyi Liu (10 shared papers)Qiuying Chen (12 shared papers)Bin Zhang (11 shared papers)Lu Zhang (4 shared papers)Yuhao Dong (3 shared papers)Tan Tan (1 shared paper)Wenhui Huang (1 shared paper)
- Journals
- Frontiers in Medicine (3 papers)BMC Microbiology (2 papers)Journal of Magnetic Resonance Imaging (2 papers)Frontiers in Microbiology (1 paper)Infection and Drug Resistance (1 paper)
- 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-authors
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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 290 | |
| 2 | 2022 | 63 | |
| 3 | 2021 | 58 | |
| 4 | 2013 | 38 | |
| 5 | 2020 | 34 | |
| 6 | 2020 | 27 | |
| 7 | 2020 | 25 | |
| 8 | 2018 | 23 | |
| 9 | 2011 | 22 | |
| 10 | 2020 | 21 | |
| 11 | 2011 | 18 | |
| 12 | 2023 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2023 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 6 |
About Luyan Chen
Luyan Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology, Infectious Diseases and Surgery, 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), Long-Term Effects of COVID-19 (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (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, Tan Tan, Wenhui Huang, Yujian Zou and Xiaoping Zhang. 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.