Qingyu Yuan
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- Radiomics and Machine Learning in Medical Imaging 20
- Medical Imaging Techniques and Applications 6
- Health Informatics top 5%
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies 3
- Gastroenterology top 5%
- Gastrointestinal Tumor Research and Treatment 5
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- Gastric Cancer Management and Outcomes 12
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- Colorectal and Anal Carcinomas 5
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- Pancreatic and Hepatic Oncology Research 3
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- Advanced X-ray and CT Imaging 3
- Journals
- Molecular Imaging and Biology (3 papers)Radiotherapy and Oncology (2 papers)International Journal of Surgery (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qingyu Yuan
22 papers receiving 859 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 669
- Health Informatics 32
- Otorhinolaryngology 88
- Gastroenterology 82
- Pulmonary and Respiratory Medicine 397
Countries citing papers authored by Qingyu Yuan
This map shows the geographic impact of Qingyu Yuan'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 Qingyu Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingyu Yuan more than expected).
Fields of papers citing papers by Qingyu Yuan
This network shows the impact of papers produced by Qingyu Yuan. 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 Qingyu Yuan. The network helps show where Qingyu Yuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qingyu Yuan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 13 | |
| 3 | 2023 | 62 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 54 | |
| 7 | 2023 | 29 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 37 | |
| 12 | 2021 | 30 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 83 | |
| 15 | 2020 | 24 | |
| 16 | 2019 | 61 | |
| 17 | 2019 | 74 | |
| 18 | 2018 | 103 | |
| 19 | 2018 | 2 | |
| 20 | 2018 | 61 |
About Qingyu Yuan
Qingyu Yuan is a scholar working on Gastroenterology, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 23 papers that have together received 878 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), Gastric Cancer Management and Outcomes (12 papers), Medical Imaging Techniques and Applications (6 papers), Colorectal and Anal Carcinomas (5 papers), Gastrointestinal Tumor Research and Treatment (5 papers), Pancreatic and Hepatic Oncology Research (3 papers), Head and Neck Cancer Studies (3 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (669 citations), Health Informatics (32 citations) and Otorhinolaryngology (88 citations). Qingyu Yuan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Quanshi Wang, Lijun Lu, Yuming Jiang, Guoxin Li, Wenbing Lv, Chuanli Chen, Jianhua Ma, Qianjin Feng, Wufan Chen and Zepang Sun. Their work appears in journals such as Molecular Imaging and Biology, Radiotherapy and Oncology, International Journal of Surgery, The Lancet Digital Health 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.