Siyao Du
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
Papers in
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- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 6
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- Endometrial and Cervical Cancer Treatments 4
- Co-authors
- Gao Si (16 shared papers)Lina Zhang (11 shared papers)Hongzan Sun (7 shared papers)Jun Xin (5 shared papers)Huijuan Guo (1 shared paper)Min Wei (1 shared paper)Zaiming Lu (2 shared papers)Yuee Teng (2 shared papers)
- Journals
- European Radiology (3 papers)Breast Cancer Research (3 papers)Journal of Alloys and Compounds (2 papers)Journal of Magnetic Resonance Imaging (2 papers)Insights into Imaging (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Siyao Du
32 papers receiving 422 citations
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 167
- Obstetrics and Gynecology 50
- Health Informatics 6
- Soil Science 25
- Cancer Research 28
Countries citing papers authored by Siyao Du
This map shows the geographic impact of Siyao Du'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 Siyao Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siyao Du more than expected).
Fields of papers citing papers by Siyao Du
This network shows the impact of papers produced by Siyao Du. 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 Siyao Du. The network helps show where Siyao Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Siyao Du, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 39 | |
| 2 | 2022 | 35 | |
| 3 | 2019 | 35 | |
| 4 | 2023 | 32 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 21 | |
| 8 | 2018 | 20 | |
| 9 | 2023 | 19 | |
| 10 | 2020 | 18 | |
| 11 | Theories of fear acquisition: The development of needle phobia in children | 2008 | 16 |
| 12 | 2020 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2024 | 14 | |
| 15 | 2019 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2023 | 7 |
About Siyao Du
Siyao Du is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology, Artificial Intelligence, Aerospace Engineering and Renewable Energy, Sustainability and the Environment, having authored 38 papers that have together received 426 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Endometrial and Cervical Cancer Treatments (4 papers), Advanced Photocatalysis Techniques (3 papers), Advanced SAR Imaging Techniques (3 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers), AI in cancer detection (3 papers) and Soil Moisture and Remote Sensing (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (167 citations), Obstetrics and Gynecology (50 citations), Health Informatics (6 citations), Soil Science (25 citations) and Cancer Research (28 citations). Siyao Du has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Gao Si, Lina Zhang, Hongzan Sun, Jun Xin, Huijuan Guo, Min Wei, Zaiming Lu, Yuee Teng, Shu Li and Xu Chen. Their work appears in journals such as European Radiology, Breast Cancer Research, Journal of Alloys and Compounds, Journal of Magnetic Resonance Imaging and Insights into 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.