Linsen Ye
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Hepatology 20
- Hepatocellular Carcinoma Treatment and Prognosis 19
- Oncology 11
- Cancer Immunotherapy and Biomarkers 10
- Cancer Cells and Metastasis 1
- Co-authors
- Guihua Chen (5 shared papers)Yinan Deng (4 shared papers)Qi Zhang (5 shared papers)Guoying Wang (9 shared papers)Xiaolong Chen (4 shared papers)Mengchen Shi (2 shared papers)Yingjiao Cao (5 shared papers)Yusheng Cheng (2 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (4 papers)Journal of Hepatology (2 papers)Annals of Translational Medicine (2 papers)Liver Research (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Linsen Ye
41 papers receiving 1.9k citations
Linsen Ye's Hit Papers
Peers
Comparison fields: 5 of 101
- Health Informatics 108
- Radiology, Nuclear Medicine and Imaging 644
- Hepatology 173
- Genetics 107
- Oncology 183
Countries citing papers authored by Linsen Ye
This map shows the geographic impact of Linsen Ye'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 Linsen Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linsen Ye more than expected).
Fields of papers citing papers by Linsen Ye
This network shows the impact of papers produced by Linsen Ye. 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 Linsen Ye. The network helps show where Linsen Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Linsen Ye, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography Hit paper breakdown → | 2020 | 702 |
| 2 | 2018 | 256 | |
| 3 | 2020 | 154 | |
| 4 | 2021 | 149 | |
| 5 | 2016 | 129 | |
| 6 | 2023 | 63 | |
| 7 | 2022 | 49 | |
| 8 | 2019 | 36 | |
| 9 | 2019 | 34 | |
| 10 | 2021 | 27 | |
| 11 | 2025 | 26 | |
| 12 | 2019 | 24 | |
| 13 | 2022 | 20 | |
| 14 | 2023 | 19 | |
| 15 | Prognostic value of combined preoperative gamma-glutamyl transpeptidase to platelet ratio and fibrinogen in patients with HBV-related hepatocellular carcinoma after hepatectomy. | 2020 | 17 |
| 16 | 2021 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2021 | 13 | |
| 20 | 2021 | 13 |
About Linsen Ye
Linsen Ye is a scholar working on Hepatology, Oncology, Immunology, Surgery and Molecular Biology, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (19 papers), Cancer Immunotherapy and Biomarkers (10 papers), T-cell and B-cell Immunology (4 papers), Extracellular vesicles in disease (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), COVID-19 diagnosis using AI (3 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Health Informatics (108 citations), Radiology, Nuclear Medicine and Imaging (644 citations), Hepatology (173 citations), Genetics (107 citations) and Oncology (183 citations). Linsen Ye has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Guihua Chen, Yinan Deng, Qi Zhang, Guoying Wang, Xiaolong Chen, Mengchen Shi, Yingjiao Cao, Yusheng Cheng, Yang Yang and Yingcai Zhang. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Journal of Hepatology, Annals of Translational Medicine, Liver Research and Nature Communications.
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.