Yi Wei
Impact in
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 21
- MRI in cancer diagnosis 18
- Hepatology 22
- Hepatocellular Carcinoma Treatment and Prognosis 14
- Liver Disease and Transplantation 7
- Co-authors
- Bin Song (56 shared papers)Hanyu Jiang (14 shared papers)Likun Cao (8 shared papers)Zixing Huang (15 shared papers)Ya Cao (14 shared papers)Hehan Tang (17 shared papers)Xiaocheng Wei (11 shared papers)Ting Duan (10 shared papers)
- Journals
- Frontiers in Oncology (7 papers)Journal of Magnetic Resonance Imaging (7 papers)Academic Radiology (7 papers)Annals of Translational Medicine (7 papers)Medicine (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yi Wei
147 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 111
- Otorhinolaryngology 315
- Hepatology 293
- Radiology, Nuclear Medicine and Imaging 703
- Complementary and Manual Therapy 41
- Oncology 410
Countries citing papers authored by Yi Wei
This map shows the geographic impact of Yi Wei'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 Yi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Wei more than expected).
Fields of papers citing papers by Yi Wei
This network shows the impact of papers produced by Yi Wei. 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 Yi Wei. The network helps show where Yi Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Wei, 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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 116 | |
| 2 | 2019 | 108 | |
| 3 | 2020 | 101 | |
| 4 | 2020 | 95 | |
| 5 | 2016 | 93 | |
| 6 | 2016 | 78 | |
| 7 | 2019 | 76 | |
| 8 | 2019 | 58 | |
| 9 | 2005 | 54 | |
| 10 | 2008 | 54 | |
| 11 | 2007 | 53 | |
| 12 | 2014 | 52 | |
| 13 | 2020 | 48 | |
| 14 | 2018 | 43 | |
| 15 | 2019 | 42 | |
| 16 | 2015 | 40 | |
| 17 | 2019 | 39 | |
| 18 | 2020 | 39 | |
| 19 | 2023 | 38 | |
| 20 | 2016 | 37 |
About Yi Wei
Yi Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Otorhinolaryngology, Oncology and Surgery, having authored 159 papers that have together received 2.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), MRI in cancer diagnosis (18 papers), Head and Neck Cancer Studies (18 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Liver Disease and Transplantation (7 papers), Viral-associated cancers and disorders (6 papers), NF-κB Signaling Pathways (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Otorhinolaryngology (315 citations), Hepatology (293 citations), Radiology, Nuclear Medicine and Imaging (703 citations), Complementary and Manual Therapy (41 citations) and Oncology (410 citations). Yi Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Song, Hanyu Jiang, Likun Cao, Zixing Huang, Ya Cao, Hehan Tang, Xiaocheng Wei, Ting Duan, Zheng Ye and Yun-Fei Xia. Their work appears in journals such as Frontiers in Oncology, Journal of Magnetic Resonance Imaging, Academic Radiology, Annals of Translational Medicine and 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.