Gao Si
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 14
- MRI in cancer diagnosis 12
- Medical Imaging Techniques and Applications 6
- Advanced MRI Techniques and Applications 3
- Surgery 9
- Esophageal Cancer Research and Treatment 4
- Spinal Fractures and Fixation Techniques 3
- Scoliosis diagnosis and treatment 3
- Co-authors
- Siyao Du (16 shared papers)Lina Zhang (10 shared papers)Hongzan Sun (3 shared papers)Zaiming Lu (2 shared papers)Jun Xin (2 shared papers)Yuee Teng (2 shared papers)Shu Li (2 shared papers)Song Gao (1 shared paper)
- Journals
- European Spine Journal (3 papers)Insights into Imaging (2 papers)Medicine (2 papers)Breast Cancer Research (2 papers)Journal of Magnetic Resonance Imaging (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Gao Si
32 papers receiving 385 citations
Peers
Comparison fields: 5 of 67
- Radiology, Nuclear Medicine and Imaging 228
- Health Informatics 7
- Obstetrics and Gynecology 27
- Cancer Research 49
- Oncology 60
Countries citing papers authored by Gao Si
This map shows the geographic impact of Gao Si'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 Gao Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gao Si more than expected).
Fields of papers citing papers by Gao Si
This network shows the impact of papers produced by Gao Si. 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 Gao Si. The network helps show where Gao Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Gao Si, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 36 | |
| 2 | 2019 | 33 | |
| 3 | 2022 | 32 | |
| 4 | 2023 | 30 | |
| 5 | 2020 | 26 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 20 | |
| 8 | 2018 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 14 | |
| 13 | 2015 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2024 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2024 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2024 | 6 | |
| 20 | 2018 | 6 |
About Gao Si
Gao Si is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Cancer Research, Oncology and Molecular Biology, having authored 36 papers that have together received 391 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (12 papers), Medical Imaging Techniques and Applications (6 papers), Breast Cancer Treatment Studies (4 papers), Esophageal Cancer Research and Treatment (4 papers), Advanced MRI Techniques and Applications (3 papers), Spinal Fractures and Fixation Techniques (3 papers) and Scoliosis diagnosis and treatment (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (228 citations), Health Informatics (7 citations), Obstetrics and Gynecology (27 citations), Cancer Research (49 citations) and Oncology (60 citations). Gao Si has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Siyao Du, Lina Zhang, Hongzan Sun, Zaiming Lu, Jun Xin, Yuee Teng, Shu Li, Song Gao, Miao Sun and Can Peng. Their work appears in journals such as European Spine Journal, Insights into Imaging, Medicine, Breast Cancer Research 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.