Bin Song
Impact in
- Infectious Diseases top 0.02%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 0.1%
- Long-Term Effects of COVID-19
Papers in
-
- MRI in cancer diagnosis 42
- Radiomics and Machine Learning in Medical Imaging 35
- Advanced MRI Techniques and Applications 16
- Hepatology 69
- Hepatocellular Carcinoma Treatment and Prognosis 60
- Co-authors
- Yeming Wang (3 shared papers)Fei Zhou (1 shared paper)Zhibo Liu (1 shared paper)Shengjin Tu (1 shared paper)Hui Li (1 shared paper)Guohui Fan (1 shared paper)Xudong Wu (1 shared paper)Jie Xiang (1 shared paper)
- Journals
- European Radiology (23 papers)Insights into Imaging (17 papers)Medicine (13 papers)Abdominal Radiology (13 papers)Annals of Translational Medicine (13 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Bin Song
466 papers receiving 27.9k citations
Bin Song's Hit Papers
Peers
Comparison fields: 5 of 218
- Infectious Diseases 10.9k
- Neurology 4.6k
- Modeling and Simulation 1.0k
- Critical Care and Intensive Care Medicine 852
- Applied Microbiology and Biotechnology 294
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-authors
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
Showing the 20 most-cited of 495 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study Hit paper breakdown → | 2020 | 18482 |
| 2 | Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review Hit paper breakdown → | 2020 | 925 |
| 3 | 2009 | 311 | |
| 4 | 2020 | 287 | |
| 5 | 2020 | 177 | |
| 6 | Wearable multifunctional organohydrogel-based electronic skin for sign language recognition under complex environments Hit paper breakdown → | 2023 | 138 |
| 7 | 2023 | 131 | |
| 8 | 2010 | 129 | |
| 9 | 2019 | 129 | |
| 10 | 2022 | 119 | |
| 11 | 2018 | 115 | |
| 12 | 2013 | 110 | |
| 13 | 1999 | 110 | |
| 14 | 2019 | 104 | |
| 15 | 2020 | 99 | |
| 16 | 2022 | 98 | |
| 17 | 2011 | 95 | |
| 18 | 2020 | 89 | |
| 19 | 2012 | 86 | |
| 20 | 2002 | 85 |
About Bin Song
Bin Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 495 papers that have together received 28.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (60 papers), MRI in cancer diagnosis (42 papers), Radiomics and Machine Learning in Medical Imaging (35 papers), Metal complexes synthesis and properties (28 papers), Lanthanide and Transition Metal Complexes (24 papers), Nanoparticle-Based Drug Delivery (22 papers), Liver Disease Diagnosis and Treatment (21 papers) and Advanced MRI Techniques and Applications (16 papers). The work is most often cited by research in Infectious Diseases (10.9k citations), Neurology (4.6k citations), Modeling and Simulation (1.0k citations), Critical Care and Intensive Care Medicine (852 citations) and Applied Microbiology and Biotechnology (294 citations). Bin Song has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Yeming Wang, Fei Zhou, Zhibo Liu, Shengjin Tu, Hui Li, Guohui Fan, Xudong Wu, Jie Xiang, Jiuyang Xu and Ting Yu. Their work appears in journals such as European Radiology, Insights into Imaging, Medicine, Abdominal Radiology 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.