Didi Wen
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Cardiac Imaging and Diagnostics
- Polymers and Plastics top 10%
- Polymer composites and self-healing
Papers in
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- Cardiac Imaging and Diagnostics 11
- Radiomics and Machine Learning in Medical Imaging 8
- MRI in cancer diagnosis 5
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- Cardiovascular Disease and Adiposity 6
- Cardiac Valve Diseases and Treatments 5
- Co-authors
- Yongkang Bai (7 shared papers)Peiwei Gong (3 shared papers)Xin Chen (3 shared papers)Minwen Zheng (22 shared papers)Jiamei Liu (2 shared papers)Jiwen Zhang (2 shared papers)Hong Yin (3 shared papers)Jun Shu (3 shared papers)
- Journals
- European Radiology (5 papers)European Journal of Radiology (5 papers)Clinical Radiology (3 papers)Circulation Cardiovascular Imaging (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Didi Wen
36 papers receiving 657 citations
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 302
- Polymers and Plastics 169
- Pulmonary and Respiratory Medicine 205
- Health Informatics 7
- Cardiology and Cardiovascular Medicine 110
Countries citing papers authored by Didi Wen
This map shows the geographic impact of Didi Wen'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 Didi Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didi Wen more than expected).
Fields of papers citing papers by Didi Wen
This network shows the impact of papers produced by Didi Wen. 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 Didi Wen. The network helps show where Didi Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Didi Wen, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 109 | |
| 2 | 2019 | 101 | |
| 3 | 2019 | 65 | |
| 4 | 2018 | 51 | |
| 5 | 2019 | 50 | |
| 6 | 2018 | 25 | |
| 7 | 2021 | 25 | |
| 8 | 2018 | 21 | |
| 9 | 2018 | 19 | |
| 10 | 2016 | 19 | |
| 11 | 2021 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2014 | 15 | |
| 14 | 2019 | 15 | |
| 15 | 2023 | 14 | |
| 16 | 2024 | 11 | |
| 17 | 2014 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 7 | |
| 20 | 2025 | 7 |
About Didi Wen
Didi Wen is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Biomedical Engineering and Surgery, having authored 42 papers that have together received 668 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Cardiovascular Disease and Adiposity (6 papers), Advanced X-ray and CT Imaging (5 papers), MRI in cancer diagnosis (5 papers), Aortic aneurysm repair treatments (5 papers), Cardiac Valve Diseases and Treatments (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (302 citations), Polymers and Plastics (169 citations), Pulmonary and Respiratory Medicine (205 citations), Health Informatics (7 citations) and Cardiology and Cardiovascular Medicine (110 citations). Didi Wen has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Yongkang Bai, Peiwei Gong, Xin Chen, Minwen Zheng, Jiamei Liu, Jiwen Zhang, Hong Yin, Jun Shu, Xiaoli Meng and Junping Ju. Their work appears in journals such as European Radiology, European Journal of Radiology, Clinical Radiology, Circulation Cardiovascular Imaging and Scientific Reports.
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.