Yuguo Wei
Impact in
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- 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 25
- MRI in cancer diagnosis 4
- Oncology 15
- Pancreatic and Hepatic Oncology Research 6
- Colorectal Cancer Surgical Treatments 5
- Co-authors
- Cuiyun Wu (4 shared papers)Junfa Chen (3 shared papers)Yanqing Ma (4 shared papers)Jing Liu (2 shared papers)Zhenyu Shu (4 shared papers)Jianfei Fu (1 shared paper)Lixia Wang (1 shared paper)Qinghua Wang (1 shared paper)
In The Last Decade
Yuguo Wei
30 papers receiving 240 citations
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 184
- Hepatology 53
- Health Informatics 5
- Oncology 85
- Pulmonary and Respiratory Medicine 62
Countries citing papers authored by Yuguo Wei
This map shows the geographic impact of Yuguo 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 Yuguo Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuguo Wei more than expected).
Fields of papers citing papers by Yuguo Wei
This network shows the impact of papers produced by Yuguo 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 Yuguo Wei. The network helps show where Yuguo Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuguo 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 36 | |
| 2 | 2023 | 26 | |
| 3 | 2022 | 24 | |
| 4 | 2022 | 22 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2023 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2025 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 3 |
About Yuguo Wei
Yuguo Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Hepatology, having authored 34 papers that have together received 242 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (25 papers), Advanced X-ray and CT Imaging (8 papers), Pancreatic and Hepatic Oncology Research (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Colorectal Cancer Surgical Treatments (5 papers), Renal cell carcinoma treatment (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and MRI in cancer diagnosis (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (184 citations), Hepatology (53 citations), Health Informatics (5 citations), Oncology (85 citations) and Pulmonary and Respiratory Medicine (62 citations). Yuguo Wei has collaborated with scholars based in China, Spain and Sweden. Frequent co-authors include Cuiyun Wu, Junfa Chen, Yanqing Ma, Jing Liu, Zhenyu Shu, Jianfei Fu, Lixia Wang, Qinghua Wang, Junkang Shen and Bin Hu. Their work appears in journals such as Frontiers in Oncology, Academic Radiology, Magnetic Resonance Imaging, BMC Gastroenterology and PeerJ.
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.