Sicong Wang
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 12
- Co-authors
- Chao Sun (7 shared papers)Xiangming Fang (2 shared papers)Meng Liang (10 shared papers)Jinchao Hou (2 shared papers)Qiang Shu (2 shared papers)Can Liu (1 shared paper)Xinming Zhao (10 shared papers)Qixing Chen (1 shared paper)
- Journals
- Frontiers in Oncology (10 papers)Abdominal Radiology (6 papers)Academic Radiology (5 papers)Cancer Imaging (4 papers)Insights into Imaging (3 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Sicong Wang
77 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Hepatology 91
- Radiology, Nuclear Medicine and Imaging 251
- Immunology 126
- Neurology 47
- Anesthesiology and Pain Medicine 28
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 168 | |
| 2 | 2017 | 78 | |
| 3 | 2021 | 52 | |
| 4 | 2019 | 47 | |
| 5 | 2019 | 42 | |
| 6 | 2019 | 40 | |
| 7 | 2019 | 37 | |
| 8 | 2023 | 32 | |
| 9 | 2016 | 28 | |
| 10 | 2019 | 27 | |
| 11 | 2019 | 26 | |
| 12 | 2022 | 25 | |
| 13 | 2021 | 25 | |
| 14 | 2021 | 21 | |
| 15 | 2023 | 21 | |
| 16 | 2020 | 21 | |
| 17 | 2022 | 19 | |
| 18 | 2022 | 19 | |
| 19 | 2021 | 17 | |
| 20 | 2023 | 17 |
About Sicong Wang
Sicong Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology, Molecular Biology and Surgery, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Sepsis Diagnosis and Treatment (3 papers) and Acute Kidney Injury Research (3 papers). The work is most often cited by research in Hepatology (91 citations), Radiology, Nuclear Medicine and Imaging (251 citations), Immunology (126 citations), Neurology (47 citations) and Anesthesiology and Pain Medicine (28 citations). Sicong Wang has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Chao Sun, Xiangming Fang, Meng Liang, Jinchao Hou, Qiang Shu, Can Liu, Xinming Zhao, Qixing Chen, Xu Liu and Ping Yin. Their work appears in journals such as Frontiers in Oncology, Abdominal Radiology, Academic Radiology, Cancer 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.