Dawei Yang
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Hepatology 12
- Hepatocellular Carcinoma Treatment and Prognosis 11
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- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Zhenghan Yang (41 shared papers)Jinfeng Liao (2 shared papers)Lang Li (1 shared paper)Xiangli Kong (1 shared paper)Beiyu Wang (1 shared paper)Zhenchang Wang (13 shared papers)Xiaopei Wang (6 shared papers)Ningfei Wang (1 shared paper)
- Journals
- Abdominal Radiology (6 papers)Journal of Magnetic Resonance Imaging (6 papers)BioMed Research International (2 papers)European Radiology (2 papers)Acta Radiologica (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dawei Yang
68 papers receiving 897 citations
Peers
Comparison fields: 5 of 122
- Hepatology 140
- Biomaterials 114
- Radiology, Nuclear Medicine and Imaging 155
- Urology 34
- Automotive Engineering 62
Countries citing papers authored by Dawei Yang
This map shows the geographic impact of Dawei Yang'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 Dawei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Yang more than expected).
Fields of papers citing papers by Dawei Yang
This network shows the impact of papers produced by Dawei Yang. 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 Dawei Yang. The network helps show where Dawei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei Yang, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 158 | |
| 2 | 2021 | 138 | |
| 3 | 2019 | 58 | |
| 4 | 2019 | 53 | |
| 5 | 2012 | 44 | |
| 6 | 2019 | 29 | |
| 7 | 2022 | 29 | |
| 8 | 2011 | 28 | |
| 9 | 2022 | 24 | |
| 10 | 2017 | 23 | |
| 11 | 2018 | 20 | |
| 12 | 2019 | 18 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2021 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2017 | 10 | |
| 19 | 2009 | 9 | |
| 20 | 2021 | 8 |
About Dawei Yang
Dawei Yang is a scholar working on Hepatology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 74 papers that have together received 909 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Liver Disease Diagnosis and Treatment (7 papers), MRI in cancer diagnosis (6 papers), Medical Image Segmentation Techniques (4 papers), Advanced Neural Network Applications (4 papers), Nutrition and Health in Aging (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Hepatology (140 citations), Biomaterials (114 citations), Radiology, Nuclear Medicine and Imaging (155 citations), Urology (34 citations) and Automotive Engineering (62 citations). Dawei Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhenghan Yang, Jinfeng Liao, Lang Li, Xiangli Kong, Beiyu Wang, Zhenchang Wang, Xiaopei Wang, Ningfei Wang, Yulong Cao and Ruigang Yang. Their work appears in journals such as Abdominal Radiology, Journal of Magnetic Resonance Imaging, BioMed Research International, European Radiology and Acta Radiologica.
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.