Yingwei Guo
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 16
- COVID-19 diagnosis using AI 3
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- Lung Cancer Diagnosis and Treatment 8
- Chronic Obstructive Pulmonary Disease (COPD) Research 4
- Co-authors
- Yingjian Yang (32 shared papers)Yan Kang (26 shared papers)Wei Li (14 shared papers)Rongchang Chen (10 shared papers)Huai Chen (10 shared papers)Shicong Wang (8 shared papers)Ziran Chen (12 shared papers)Xian Li (5 shared papers)
- Journals
- Mathematical Biosciences & Engineering (4 papers)Frontiers in Neurology (4 papers)Frontiers in Medicine (3 papers)Life (2 papers)Frontiers in Physiology (2 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Yingwei Guo
37 papers receiving 263 citations
Peers
Comparison fields: 5 of 49
- Radiology, Nuclear Medicine and Imaging 97
- Health Informatics 5
- Neurology 18
- Pulmonary and Respiratory Medicine 65
- Rehabilitation 10
Countries citing papers authored by Yingwei Guo
This map shows the geographic impact of Yingwei Guo'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 Yingwei Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingwei Guo more than expected).
Fields of papers citing papers by Yingwei Guo
This network shows the impact of papers produced by Yingwei Guo. 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 Yingwei Guo. The network helps show where Yingwei Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingwei Guo, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 20 | |
| 2 | 2022 | 18 | |
| 3 | 2022 | 17 | |
| 4 | 2022 | 17 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 14 | |
| 7 | 2024 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2022 | 4 |
About Yingwei Guo
Yingwei Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 267 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), Acute Ischemic Stroke Management (9 papers), Lung Cancer Diagnosis and Treatment (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Advanced X-ray and CT Imaging (3 papers), COVID-19 diagnosis using AI (3 papers), Advanced Neural Network Applications (3 papers) and Surgical Simulation and Training (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (97 citations), Health Informatics (5 citations), Neurology (18 citations), Pulmonary and Respiratory Medicine (65 citations) and Rehabilitation (10 citations). Yingwei Guo has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Yingjian Yang, Yan Kang, Wei Li, Rongchang Chen, Huai Chen, Shicong Wang, Ziran Chen, Xian Li, Yu Luo and Yan Kang. Their work appears in journals such as Mathematical Biosciences & Engineering, Frontiers in Neurology, Frontiers in Medicine, Life and Frontiers in Physiology.
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.