Shewei Dou
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
Papers in
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- MRI in cancer diagnosis 4
- Advanced MRI Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 1
-
- Prostate Cancer Diagnosis and Treatment 2
- Gastric Cancer Management and Outcomes 2
- Co-authors
- Dapeng Shi (4 shared papers)Dapeng Shi (7 shared papers)Shaocheng Zhu (4 shared papers)Meiyun Wang (5 shared papers)Peigang Ning (2 shared papers)Hongna Tan (1 shared paper)Minghui Wu (1 shared paper)Jian Chen (1 shared paper)
- Journals
- PLoS ONE (2 papers)Neuroradiology (2 papers)World Journal of Gastroenterology (1 paper)Journal of Computer Assisted Tomography (1 paper)Asian Journal of Andrology (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Shewei Dou
15 papers receiving 441 citations
Peers
Comparison fields: 5 of 44
- Hepatology 102
- Radiology, Nuclear Medicine and Imaging 199
- Obstetrics and Gynecology 44
- Genetics 58
- Health Informatics 4
Countries citing papers authored by Shewei Dou
This map shows the geographic impact of Shewei Dou'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 Shewei Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shewei Dou more than expected).
Fields of papers citing papers by Shewei Dou
This network shows the impact of papers produced by Shewei Dou. 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 Shewei Dou. The network helps show where Shewei Dou may publish in the future.
Co-authors
The 25 scholars most cited alongside Shewei Dou, 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 | 2018 | 152 | |
| 2 | 2010 | 78 | |
| 3 | 2018 | 59 | |
| 4 | 2013 | 36 | |
| 5 | 2018 | 35 | |
| 6 | 2015 | 26 | |
| 7 | 2011 | 15 | |
| 8 | 2021 | 11 | |
| 9 | 2016 | 10 | |
| 10 | 2010 | 8 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2012 | 2 | |
| 15 | 2016 | 1 |
About Shewei Dou
Shewei Dou is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Genetics and Obstetrics and Gynecology, having authored 15 papers that have together received 446 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (4 papers), Advanced MRI Techniques and Applications (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Gastric Cancer Management and Outcomes (2 papers), Glioma Diagnosis and Treatment (2 papers), Esophageal Cancer Research and Treatment (2 papers), Endometrial and Cervical Cancer Treatments (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Hepatology (102 citations), Radiology, Nuclear Medicine and Imaging (199 citations), Obstetrics and Gynecology (44 citations), Genetics (58 citations) and Health Informatics (4 citations). Shewei Dou has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Dapeng Shi, Dapeng Shi, Shaocheng Zhu, Meiyun Wang, Peigang Ning, Hongna Tan, Minghui Wu, Jian Chen, Jinjin Hai and Yongli Li. Their work appears in journals such as PLoS ONE, Neuroradiology, World Journal of Gastroenterology, Journal of Computer Assisted Tomography and Asian Journal of Andrology.
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.