Yuwei Xia
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 14
- MRI in cancer diagnosis 4
- Oncology 8
- Colorectal Cancer Surgical Treatments 4
- Co-authors
- Fu Shen (11 shared papers)Xiaolu Ma (10 shared papers)Jianping Lu (9 shared papers)Liling Long (6 shared papers)Yan Jia (3 shared papers)Feng Shi (11 shared papers)Lianzhong Zhang (1 shared paper)Xiaoli Meng (2 shared papers)
- Journals
- Frontiers in Oncology (6 papers)Abdominal Radiology (5 papers)BioMed Research International (4 papers)Life Sciences (3 papers)European Journal of Radiology (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Yuwei Xia
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Radiology, Nuclear Medicine and Imaging 418
- Hepatology 91
- Health Informatics 18
- Pulmonary and Respiratory Medicine 198
- Oncology 151
Countries citing papers authored by Yuwei Xia
This map shows the geographic impact of Yuwei Xia'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 Yuwei Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuwei Xia more than expected).
Fields of papers citing papers by Yuwei Xia
This network shows the impact of papers produced by Yuwei Xia. 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 Yuwei Xia. The network helps show where Yuwei Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuwei Xia, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 103 | |
| 2 | 2023 | 95 | |
| 3 | 2021 | 85 | |
| 4 | 2019 | 82 | |
| 5 | 2019 | 70 | |
| 6 | 2019 | 52 | |
| 7 | 2019 | 45 | |
| 8 | 2020 | 39 | |
| 9 | 2020 | 30 | |
| 10 | 2021 | 29 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2021 | 24 | |
| 14 | 2020 | 24 | |
| 15 | 2021 | 23 | |
| 16 | 2021 | 21 | |
| 17 | 2022 | 20 | |
| 18 | 2023 | 19 | |
| 19 | 2020 | 18 | |
| 20 | 2022 | 17 |
About Yuwei Xia
Yuwei Xia is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Hepatology, Pulmonary and Respiratory Medicine and Genetics, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Colorectal Cancer Surgical Treatments (4 papers), MRI in cancer diagnosis (4 papers), Advanced X-ray and CT Imaging (4 papers), Renal cell carcinoma treatment (3 papers), Endometrial and Cervical Cancer Treatments (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (418 citations), Hepatology (91 citations), Health Informatics (18 citations), Pulmonary and Respiratory Medicine (198 citations) and Oncology (151 citations). Yuwei Xia has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Fu Shen, Xiaolu Ma, Jianping Lu, Liling Long, Yan Jia, Feng Shi, Lianzhong Zhang, Xiaoli Meng, Jun Shu and Shaobo Duan. Their work appears in journals such as Frontiers in Oncology, Abdominal Radiology, BioMed Research International, Life Sciences and European Journal of Radiology.
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.