Yidi Chen
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
- Hepatology 16
- Hepatocellular Carcinoma Treatment and Prognosis 14
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- Radiomics and Machine Learning in Medical Imaging 11
- MRI in cancer diagnosis 8
- Advanced MRI Techniques and Applications 6
- Co-authors
- Jianhui Wu (1 shared paper)Yiqun Gan (2 shared papers)Brian James Hall (1 shared paper)Liling Long (17 shared papers)Bin Song (28 shared papers)Hanyu Jiang (16 shared papers)Yuwei Xia (4 shared papers)Xu Shen (4 shared papers)
- Journals
- Insights into Imaging (5 papers)European Radiology (4 papers)Abdominal Radiology (2 papers)Metabolism (2 papers)Journal of Magnetic Resonance Imaging (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yidi Chen
53 papers receiving 568 citations
Peers
Comparison fields: 5 of 88
- Hepatology 85
- Health Informatics 22
- Radiology, Nuclear Medicine and Imaging 182
- Clinical Psychology 92
- Oncology 39
Countries citing papers authored by Yidi Chen
This map shows the geographic impact of Yidi 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 Yidi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yidi Chen more than expected).
Fields of papers citing papers by Yidi Chen
This network shows the impact of papers produced by Yidi 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 Yidi Chen. The network helps show where Yidi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yidi 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 142 | |
| 2 | 2021 | 34 | |
| 3 | 2021 | 30 | |
| 4 | 2018 | 28 | |
| 5 | 2019 | 28 | |
| 6 | 2023 | 24 | |
| 7 | 2021 | 23 | |
| 8 | 2022 | 21 | |
| 9 | 2023 | 18 | |
| 10 | 2024 | 16 | |
| 11 | 2019 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2022 | 15 | |
| 14 | 2022 | 13 | |
| 15 | 2024 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2024 | 11 | |
| 18 | 2025 | 11 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 8 |
About Yidi Chen
Yidi Chen is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Oncology and Health, Toxicology and Mutagenesis, having authored 64 papers that have together received 575 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), MRI in cancer diagnosis (8 papers), Advanced MRI Techniques and Applications (6 papers), Medical Image Segmentation Techniques (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Multimodal Machine Learning Applications (3 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Hepatology (85 citations), Health Informatics (22 citations), Radiology, Nuclear Medicine and Imaging (182 citations), Clinical Psychology (92 citations) and Oncology (39 citations). Yidi Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jianhui Wu, Yiqun Gan, Brian James Hall, Liling Long, Bin Song, Hanyu Jiang, Yuwei Xia, Xu Shen, Chongtu Yang and Jiaying Wang. Their work appears in journals such as Insights into Imaging, European Radiology, Abdominal Radiology, Metabolism and Journal of Magnetic Resonance 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.