Sicong Wang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 35
- MRI in cancer diagnosis 10
-
- Gastric Cancer Management and Outcomes 6
- Sarcoma Diagnosis and Treatment 6
- Co-authors
- Xiangming Fang (3 shared papers)Chao Sun (7 shared papers)Meng Liang (10 shared papers)Xu Liu (1 shared paper)Qiang Shu (2 shared papers)Can Liu (1 shared paper)Qixing Chen (1 shared paper)Jinchao Hou (2 shared papers)
- Journals
- Frontiers in Oncology (10 papers)Abdominal Radiology (6 papers)Academic Radiology (5 papers)Cancer Imaging (4 papers)European Radiology (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Sicong Wang
76 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 427
- Hepatology 112
- Health Informatics 14
- Pulmonary and Respiratory Medicine 276
- Critical Care and Intensive Care Medicine 43
Countries citing papers authored by Sicong Wang
This map shows the geographic impact of Sicong Wang'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 Sicong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sicong Wang more than expected).
Fields of papers citing papers by Sicong Wang
This network shows the impact of papers produced by Sicong Wang. 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 Sicong Wang. The network helps show where Sicong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sicong Wang, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 159 | |
| 2 | 2017 | 77 | |
| 3 | 2021 | 51 | |
| 4 | 2019 | 45 | |
| 5 | 2019 | 39 | |
| 6 | 2019 | 38 | |
| 7 | 2019 | 36 | |
| 8 | 2023 | 30 | |
| 9 | 2024 | 28 | |
| 10 | 2016 | 27 | |
| 11 | 2019 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2019 | 25 | |
| 14 | 2022 | 23 | |
| 15 | 2021 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2022 | 19 | |
| 18 | 2023 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2021 | 17 |
About Sicong Wang
Sicong Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Oncology and Epidemiology, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (35 papers), MRI in cancer diagnosis (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Advanced X-ray and CT Imaging (9 papers), Gastric Cancer Management and Outcomes (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Sarcoma Diagnosis and Treatment (6 papers) and Colorectal Cancer Surgical Treatments (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (427 citations), Hepatology (112 citations), Health Informatics (14 citations), Pulmonary and Respiratory Medicine (276 citations) and Critical Care and Intensive Care Medicine (43 citations). Sicong Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiangming Fang, Chao Sun, Meng Liang, Xu Liu, Qiang Shu, Can Liu, Qixing Chen, Jinchao Hou, Ping Yin and Xinming Zhao. Their work appears in journals such as Frontiers in Oncology, Abdominal Radiology, Academic Radiology, Cancer Imaging and European Radiology.
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.