Bin Song
- Infectious Diseases top 0.01%
- Neurology top 0.05%
- Modeling and Simulation top 0.1%
- Oncology top 0.2%
- Metal complexes synthesis and properties 28
- Pancreatic and Hepatic Oncology Research 27
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- Radiomics and Machine Learning in Medical Imaging 87
- MRI in cancer diagnosis 72
- Advanced MRI Techniques and Applications 26
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- Hepatocellular Carcinoma Treatment and Prognosis 80
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- Liver Disease Diagnosis and Treatment 60
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- Lanthanide and Transition Metal Complexes 25
- Journals
- European Radiology (25 papers)Insights into Imaging (18 papers)Abdominal Radiology (13 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Bin Song
463 papers receiving 27.2k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Infectious Diseases 13.5k
- Neurology 6.7k
- Modeling and Simulation 1.2k
- Critical Care and Intensive Care Medicine 1.3k
- Oncology 5.3k
Countries citing papers authored by Bin Song
This map shows the geographic impact of Bin Song'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 Bin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Song more than expected).
Fields of papers citing papers by Bin Song
This network shows the impact of papers produced by Bin Song. 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 Bin Song. The network helps show where Bin Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin Song, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 9 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 9 | |
| 17 | Wearable multifunctional organohydrogel-based electronic skin for sign language recognition under complex environmentsbreakdown → | 2023 | 121 |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | Effect of atorvastatin on renal fibrosis, oxidative stress and related factors in patients with diabetic nephropathy | 2019 | 1 |
About Bin Song
Bin Song is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 487 papers that have together received 27.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (87 papers), Hepatocellular Carcinoma Treatment and Prognosis (80 papers), MRI in cancer diagnosis (72 papers), Liver Disease Diagnosis and Treatment (60 papers), Metal complexes synthesis and properties (28 papers), Pancreatic and Hepatic Oncology Research (27 papers), Advanced MRI Techniques and Applications (26 papers) and Lanthanide and Transition Metal Complexes (25 papers). The work is most often cited by research in Infectious Diseases (13.5k citations), Neurology (6.7k citations), Modeling and Simulation (1.2k citations), Critical Care and Intensive Care Medicine (1.3k citations) and Oncology (5.3k citations). Bin Song has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Yeming Wang, Bin Cao, Ting Yu, Xiaoying Gu, Jie Xiang, Hua Chen, Jiuyang Xu, Ying Liu, Hui Li and Fei Zhou. Their work appears in journals such as European Radiology, Insights into Imaging, Abdominal Radiology, Medicine and Annals of Translational Medicine.
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.