Liyan Pan
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
-
- Radar Systems and Signal Processing 5
- Advanced SAR Imaging Techniques 4
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- Viral Infections and Immunology Research 2
- Co-authors
- Huiying Liang (9 shared papers)Guangjian Liu (4 shared papers)Ran Yang (1 shared paper)Huimin Xia (2 shared papers)Fangqin Lin (2 shared papers)Xin Sun (1 shared paper)Huixian Li (5 shared papers)Xiuzhen Li (1 shared paper)
- Journals
- Scientific Reports (3 papers)IEEE Journal of Biomedical and Health Informatics (1 paper)Journal of Advanced Nursing (1 paper)Frontiers in Pharmacology (1 paper)BMC Nephrology (1 paper)
- Partner nations
- China
In The Last Decade
Liyan Pan
15 papers receiving 272 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 32
- Health Information Management 32
- Radiology, Nuclear Medicine and Imaging 96
- Artificial Intelligence 90
- Transplantation 6
Countries citing papers authored by Liyan Pan
This map shows the geographic impact of Liyan Pan'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 Liyan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyan Pan more than expected).
Fields of papers citing papers by Liyan Pan
This network shows the impact of papers produced by Liyan Pan. 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 Liyan Pan. The network helps show where Liyan Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Liyan Pan, 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 | 2017 | 83 | |
| 2 | 2018 | 65 | |
| 3 | 2019 | 46 | |
| 4 | 2018 | 25 | |
| 5 | 2017 | 15 | |
| 6 | 2021 | 15 | |
| 7 | 2017 | 9 | |
| 8 | 2020 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 2020 | 3 | |
| 11 | 2022 | 1 | |
| 12 | Economic Policy Uncertainty, Bank Credit, External Demand, and Corporate Investment | 2018 | 1 |
| 13 | 2019 | 1 | |
| 14 | 2021 | 1 | |
| 15 | Deubiquitinase USP29 correlates RORγt expression and its association with thymoma myasthenia gravis. | 2022 | 1 |
| 16 | 2023 | 0 | |
| 17 | 2023 | 0 | |
| 18 | 2021 | 0 |
About Liyan Pan
Liyan Pan is a scholar working on Aerospace Engineering, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Molecular Biology and Artificial Intelligence, having authored 18 papers that have together received 279 indexed citations. Recurring topics across this work include Radar Systems and Signal Processing (5 papers), Advanced SAR Imaging Techniques (4 papers), Acute Lymphoblastic Leukemia research (2 papers), Viral Infections and Immunology Research (2 papers), Microwave Imaging and Scattering Analysis (2 papers), Wireless Signal Modulation Classification (1 paper), Genetic and phenotypic traits in livestock (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (32 citations), Health Information Management (32 citations), Radiology, Nuclear Medicine and Imaging (96 citations), Artificial Intelligence (90 citations) and Transplantation (6 citations). Liyan Pan has collaborated with scholars based in China. Frequent co-authors include Huiying Liang, Guangjian Liu, Ran Yang, Huimin Xia, Fangqin Lin, Xin Sun, Huixian Li, Xiuzhen Li, Yilu Chen and Hongwei Li. Their work appears in journals such as Scientific Reports, IEEE Journal of Biomedical and Health Informatics, Journal of Advanced Nursing, Frontiers in Pharmacology and BMC Nephrology.
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.