Yingpu Cui
Impact in
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- Radiomics and Machine Learning in Medical Imaging
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 2
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- Medical Image Segmentation Techniques 5
- Co-authors
- Xiaodong Zhang (7 shared papers)Xiaoying Wang (7 shared papers)Zhaonan Sun (6 shared papers)Shuai Ma (3 shared papers)Chao Han (5 shared papers)Zhiyong Lin (4 shared papers)Xiaoying Wang (3 shared papers)Xiaodong Zhang (3 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (2 papers)Frontiers in Oncology (2 papers)European Journal of Radiology (2 papers)Insights into Imaging (1 paper)European Radiology (1 paper)
- Partner nations
- China
In The Last Decade
Yingpu Cui
16 papers receiving 325 citations
Peers
Comparison fields: 5 of 15
- Radiology, Nuclear Medicine and Imaging 96
- Health Informatics 7
- Computer Vision and Pattern Recognition 64
- Pulmonary and Respiratory Medicine 53
- Pathology and Forensic Medicine 10
Countries citing papers authored by Yingpu Cui
This map shows the geographic impact of Yingpu Cui'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 Yingpu Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingpu Cui more than expected).
Fields of papers citing papers by Yingpu Cui
This network shows the impact of papers produced by Yingpu Cui. 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 Yingpu Cui. The network helps show where Yingpu Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingpu Cui, 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 | 2019 | 57 | |
| 2 | 2020 | 53 | |
| 3 | 2021 | 48 | |
| 4 | 2023 | 29 | |
| 5 | 2021 | 25 | |
| 6 | 2021 | 24 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 18 | |
| 9 | 2021 | 16 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2018 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2021 | 3 |
About Yingpu Cui
Yingpu Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Nuclear Energy and Engineering, having authored 16 papers that have together received 332 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Image Segmentation Techniques (5 papers), Medical Imaging Techniques and Applications (2 papers), Kidney Stones and Urolithiasis Treatments (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (96 citations), Health Informatics (7 citations), Computer Vision and Pattern Recognition (64 citations), Pulmonary and Respiratory Medicine (53 citations) and Pathology and Forensic Medicine (10 citations). Yingpu Cui has collaborated with scholars based in China. Frequent co-authors include Xiaodong Zhang, Xiaoying Wang, Zhaonan Sun, Shuai Ma, Chao Han, Zhiyong Lin, Xiaoying Wang, Xiaodong Zhang, Weipeng Liu and Jia Liu. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Frontiers in Oncology, European Journal of Radiology, Insights into Imaging 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.