Guanchao Ye
Impact in
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- Radiomics and Machine Learning in Medical Imaging
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- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
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- Ferroptosis and cancer prognosis 4
- Lung Cancer Diagnosis and Treatment 4
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- Radiomics and Machine Learning in Medical Imaging 7
- Co-authors
- Yafei Liu (6 shared papers)Chun‐yang Zhang (7 shared papers)Lan Huang (6 shared papers)Chunli Wu (7 shared papers)Yongde Liao (10 shared papers)Bo Dong (6 shared papers)Bin Wu (6 shared papers)Yu Qi (6 shared papers)
- Journals
- Annals of Translational Medicine (3 papers)Aging (2 papers)International Journal of Gynecological Cancer (1 paper)Translational Oncology (1 paper)International Journal of Surgery (1 paper)
- Partner nations
- ChinaNetherlandsTaiwan
In The Last Decade
Guanchao Ye
22 papers receiving 243 citations
Peers
Comparison fields: 5 of 51
- Radiology, Nuclear Medicine and Imaging 44
- Cancer Research 28
- Pulmonary and Respiratory Medicine 54
- Immunology 22
- Oncology 27
Countries citing papers authored by Guanchao Ye
This map shows the geographic impact of Guanchao Ye'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 Guanchao Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanchao Ye more than expected).
Fields of papers citing papers by Guanchao Ye
This network shows the impact of papers produced by Guanchao Ye. 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 Guanchao Ye. The network helps show where Guanchao Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Guanchao Ye, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 37 | |
| 2 | 2022 | 29 | |
| 3 | 2024 | 25 | |
| 4 | 2020 | 25 | |
| 5 | 2024 | 20 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2025 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2022 | 2 |
About Guanchao Ye
Guanchao Ye is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cancer Research and Artificial Intelligence, having authored 24 papers that have together received 245 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Ferroptosis and cancer prognosis (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), RNA modifications and cancer (3 papers), AI in cancer detection (3 papers), Cancer-related molecular mechanisms research (3 papers), Brain Tumor Detection and Classification (2 papers) and Endometrial and Cervical Cancer Treatments (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (44 citations), Cancer Research (28 citations), Pulmonary and Respiratory Medicine (54 citations), Immunology (22 citations) and Oncology (27 citations). Guanchao Ye has collaborated with scholars based in China, Netherlands and Taiwan. Frequent co-authors include Yafei Liu, Chun‐yang Zhang, Lan Huang, Chunli Wu, Yongde Liao, Bo Dong, Bin Wu, Yu Qi, Enmin Song and Yi Zhang. Their work appears in journals such as Annals of Translational Medicine, Aging, International Journal of Gynecological Cancer, Translational Oncology and International Journal of Surgery.
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.