Amei Chen
Impact in
-
- Ultrasound in Clinical Applications
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Advanced Neuroimaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 2
-
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Xinhua Wei (9 shared papers)Ruimeng Yang (2 shared papers)Yuting Liao (1 shared paper)Chongzhe Yang (1 shared paper)Lijia Dong (1 shared paper)Zhuan Zhou (1 shared paper)Qimin Zhan (1 shared paper)Chunling Zhao (1 shared paper)
- Journals
- Academic Radiology (2 papers)PLoS ONE (2 papers)CrystEngComm (1 paper)Neuroscience (1 paper)Radiology Cardiothoracic Imaging (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Amei Chen
17 papers receiving 356 citations
Peers
Comparison fields: 5 of 77
- Critical Care and Intensive Care Medicine 35
- Radiology, Nuclear Medicine and Imaging 100
- Oncology 72
- Infectious Diseases 42
- Hepatology 18
Countries citing papers authored by Amei Chen
This map shows the geographic impact of Amei 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 Amei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amei Chen more than expected).
Fields of papers citing papers by Amei Chen
This network shows the impact of papers produced by Amei 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 Amei Chen. The network helps show where Amei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Amei 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 | 2020 | 84 | |
| 2 | 2007 | 83 | |
| 3 | 2013 | 37 | |
| 4 | 2018 | 27 | |
| 5 | 2021 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 20 | |
| 8 | 2023 | 14 | |
| 9 | 2017 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2013 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2022 | 4 | |
| 16 | [Polymorphism of killer cell immunoglobulin-like receptor gene and its correlation with leukemia]. | 2007 | 3 |
| 17 | 2022 | 2 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Amei Chen
Amei Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Neurology, Immunology and Cognitive Neuroscience, having authored 20 papers that have together received 366 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Functional Brain Connectivity Studies (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (35 citations), Radiology, Nuclear Medicine and Imaging (100 citations), Oncology (72 citations), Infectious Diseases (42 citations) and Hepatology (18 citations). Amei Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xinhua Wei, Ruimeng Yang, Yuting Liao, Chongzhe Yang, Lijia Dong, Zhuan Zhou, Qimin Zhan, Chunling Zhao, Zhihua Yang and Tong Tong. Their work appears in journals such as Academic Radiology, PLoS ONE, CrystEngComm, Neuroscience and Radiology Cardiothoracic Imaging.
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.