Wei Xing
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Neurology top 10%
- Intracranial Aneurysms: Treatment and Complications
Papers in
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- MRI in cancer diagnosis 17
- Radiomics and Machine Learning in Medical Imaging 9
- Advanced MRI Techniques and Applications 6
-
- Renal cell carcinoma treatment 4
- Co-authors
- Jie Chen (30 shared papers)Jiule Ding (23 shared papers)Zhaoyu Xing (10 shared papers)Zhenxing Jiang (11 shared papers)Ya Peng (10 shared papers)Meiwan Chen (1 shared paper)Kejun Cheng (1 shared paper)Zhi Shi (1 shared paper)
- Journals
- Academic Radiology (8 papers)Acta Radiologica (6 papers)Magnetic Resonance Imaging (5 papers)Magnetic Resonance in Medicine (4 papers)European Radiology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wei Xing
123 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Radiology, Nuclear Medicine and Imaging 276
- Neurology 146
- Hepatology 70
- Pulmonary and Respiratory Medicine 234
- Nephrology 41
Countries citing papers authored by Wei Xing
This map shows the geographic impact of Wei Xing'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 Wei Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Xing more than expected).
Fields of papers citing papers by Wei Xing
This network shows the impact of papers produced by Wei Xing. 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 Wei Xing. The network helps show where Wei Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Xing, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2015 | 101 | |
| 3 | 2013 | 52 | |
| 4 | 2021 | 44 | |
| 5 | 2018 | 35 | |
| 6 | 2021 | 34 | |
| 7 | 2017 | 31 | |
| 8 | 2018 | 29 | |
| 9 | 2008 | 29 | |
| 10 | 2023 | 27 | |
| 11 | 2022 | 26 | |
| 12 | 2015 | 24 | |
| 13 | 2013 | 23 | |
| 14 | 2012 | 22 | |
| 15 | 2022 | 22 | |
| 16 | 2011 | 22 | |
| 17 | 2019 | 22 | |
| 18 | 2024 | 21 | |
| 19 | 2020 | 18 | |
| 20 | 2008 | 18 |
About Wei Xing
Wei Xing is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Neurology and Hepatology, having authored 125 papers that have together received 1.3k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (17 papers), Intracranial Aneurysms: Treatment and Complications (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Advanced MRI Techniques and Applications (6 papers), Acute Kidney Injury Research (5 papers), Functional Brain Connectivity Studies (5 papers) and Renal cell carcinoma treatment (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (276 citations), Neurology (146 citations), Hepatology (70 citations), Pulmonary and Respiratory Medicine (234 citations) and Nephrology (41 citations). Wei Xing has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jie Chen, Jiule Ding, Zhaoyu Xing, Zhenxing Jiang, Ya Peng, Meiwan Chen, Kejun Cheng, Zhi Shi, Qiwei Jiang and Wenhua Chen. Their work appears in journals such as Academic Radiology, Acta Radiologica, Magnetic Resonance Imaging, Magnetic Resonance in Medicine and European 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.