Kun Cao
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Geriatrics and Gerontology top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 18
- MRI in cancer diagnosis 16
- Medical Imaging Techniques and Applications 5
- Co-authors
- Ying‐Shi Sun (15 shared papers)Lei Tang (4 shared papers)Yang‐Ting Dong (6 shared papers)Xin Zhang (1 shared paper)Xiao-Ting Li (11 shared papers)Zhi-Zhong Guan (4 shared papers)Haitao Zhu (3 shared papers)Yanling Li (5 shared papers)
- Journals
- BMC Cancer (2 papers)Frontiers in Oncology (2 papers)European Journal of Radiology (2 papers)Frontiers in Microbiology (1 paper)International Journal of Surgery (1 paper)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Kun Cao
56 papers receiving 868 citations
Peers
Comparison fields: 5 of 112
- Radiology, Nuclear Medicine and Imaging 297
- Geriatrics and Gerontology 38
- Health Informatics 12
- Metals and Alloys 20
- Biological Psychiatry 19
Countries citing papers authored by Kun Cao
This map shows the geographic impact of Kun Cao'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 Kun Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Cao more than expected).
Fields of papers citing papers by Kun Cao
This network shows the impact of papers produced by Kun Cao. 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 Kun Cao. The network helps show where Kun Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Cao, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 81 | |
| 2 | 2014 | 66 | |
| 3 | 2020 | 60 | |
| 4 | 2016 | 57 | |
| 5 | 2011 | 54 | |
| 6 | 2018 | 42 | |
| 7 | 2018 | 38 | |
| 8 | 2011 | 37 | |
| 9 | 2011 | 36 | |
| 10 | 2019 | 29 | |
| 11 | 2020 | 23 | |
| 12 | 2019 | 22 | |
| 13 | 2018 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2022 | 18 | |
| 17 | 2016 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2012 | 14 | |
| 20 | 2018 | 14 |
About Kun Cao
Kun Cao is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology, Surgery and Cancer Research, having authored 59 papers that have together received 883 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), MRI in cancer diagnosis (16 papers), Endometrial and Cervical Cancer Treatments (5 papers), Medical Imaging Techniques and Applications (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), AI in cancer detection (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (297 citations), Geriatrics and Gerontology (38 citations), Health Informatics (12 citations), Metals and Alloys (20 citations) and Biological Psychiatry (19 citations). Kun Cao has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Ying‐Shi Sun, Lei Tang, Yang‐Ting Dong, Xin Zhang, Xiao-Ting Li, Zhi-Zhong Guan, Haitao Zhu, Yanling Li, Wei Hong and Jie Xiang. Their work appears in journals such as BMC Cancer, Frontiers in Oncology, European Journal of Radiology, Frontiers in Microbiology 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.