Luyan Chen
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Health Informatics top 10%
Papers in
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- COVID-19 Clinical Research Studies 8
-
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Co-authors
- Bin Zhang (16 shared papers)Shuixing Zhang (13 shared papers)Shuyi Liu (10 shared papers)Qiuying Chen (11 shared papers)Yuhao Dong (4 shared papers)Jingjing You (13 shared papers)Yujian Zou (3 shared papers)Prof. Xiao-Ping Zhang (1 shared paper)
In The Last Decade
Luyan Chen
39 papers receiving 969 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 379
- Health Informatics 23
- Radiology, Nuclear Medicine and Imaging 176
- Neurology 84
- Hepatology 50
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 337 | |
| 2 | 2020 | 104 | |
| 3 | 2022 | 77 | |
| 4 | 2021 | 64 | |
| 5 | 2013 | 40 | |
| 6 | 2020 | 39 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 29 | |
| 9 | 2011 | 24 | |
| 10 | 2018 | 23 | |
| 11 | 2020 | 23 | |
| 12 | 2022 | 23 | |
| 13 | 2023 | 22 | |
| 14 | 2011 | 19 | |
| 15 | 2022 | 17 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2023 | 12 |
About Luyan Chen
Luyan Chen is a scholar working on Infectious Diseases, Hepatology, Endocrinology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 39 papers that have together received 997 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Escherichia coli research studies (3 papers), Microbial Inactivation Methods (2 papers), Head and Neck Cancer Studies (2 papers), AI in cancer detection (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Infectious Diseases (379 citations), Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (176 citations), Neurology (84 citations) and Hepatology (50 citations). Luyan Chen has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Bin Zhang, Shuixing Zhang, Shuyi Liu, Qiuying Chen, Yuhao Dong, Jingjing You, Yujian Zou, Prof. Xiao-Ping Zhang, Wenhui Huang and Qingyang Zhong. Their work appears in journals such as Frontiers in Medicine, Journal of Magnetic Resonance Imaging, BMC Microbiology, Journal of Infection and Cancer Management and 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.