Dengbin Wang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Health Informatics top 10%
Papers in
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- MRI in cancer diagnosis 9
- Advanced MRI Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 4
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- Hepatocellular Carcinoma Treatment and Prognosis 3
- Co-authors
- Caiyuan Zhang (13 shared papers)Ran Luo (8 shared papers)Yanfen Cui (9 shared papers)Huanhuan Liu (12 shared papers)Hui Wen Zheng (7 shared papers)Jinning Li (9 shared papers)Huanhuan Liu (4 shared papers)Chenqing Wu (6 shared papers)
- Journals
- European Radiology (10 papers)World Journal of Gastroenterology (3 papers)World Journal of Surgical Oncology (3 papers)Scientific Reports (3 papers)Oncotarget (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dengbin Wang
49 papers receiving 957 citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 313
- Health Informatics 17
- Hepatology 75
- Oncology 153
- Genetics 42
Countries citing papers authored by Dengbin Wang
This map shows the geographic impact of Dengbin 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 Dengbin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dengbin Wang more than expected).
Fields of papers citing papers by Dengbin Wang
This network shows the impact of papers produced by Dengbin 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 Dengbin Wang. The network helps show where Dengbin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dengbin 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2018 | 74 | |
| 3 | 2021 | 67 | |
| 4 | 2020 | 39 | |
| 5 | 2013 | 33 | |
| 6 | 2019 | 33 | |
| 7 | 2016 | 32 | |
| 8 | 2010 | 31 | |
| 9 | 2010 | 29 | |
| 10 | 2009 | 28 | |
| 11 | 2021 | 28 | |
| 12 | 2016 | 27 | |
| 13 | 2015 | 26 | |
| 14 | 2018 | 26 | |
| 15 | 2008 | 25 | |
| 16 | 2018 | 25 | |
| 17 | 2022 | 25 | |
| 18 | 2017 | 23 | |
| 19 | 2020 | 21 | |
| 20 | 2014 | 20 |
About Dengbin Wang
Dengbin Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Pathology and Forensic Medicine, Oncology and Reproductive Medicine, having authored 49 papers that have together received 976 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Advanced MRI Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Breast Lesions and Carcinomas (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (313 citations), Health Informatics (17 citations), Hepatology (75 citations), Oncology (153 citations) and Genetics (42 citations). Dengbin Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Caiyuan Zhang, Ran Luo, Yanfen Cui, Huanhuan Liu, Hui Wen Zheng, Jinning Li, Huanhuan Liu, Chenqing Wu, Lijun Wang and Shaofeng Duan. Their work appears in journals such as European Radiology, World Journal of Gastroenterology, World Journal of Surgical Oncology, Scientific Reports and Oncotarget.
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.