Kunlin Cao
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Medical Imaging Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 6
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- Lung Cancer Diagnosis and Treatment 9
- Co-authors
- Youbing Yin (15 shared papers)Gary E. Christensen (18 shared papers)Junjie Bai (8 shared papers)Joseph M. Reinhardt (18 shared papers)Xin Wang (6 shared papers)Kai Ding (14 shared papers)Jun Xia (4 shared papers)Bin Kong (5 shared papers)
- Journals
- Medical Physics (7 papers)Medical Image Analysis (2 papers)IEEE Transactions on Multimedia (2 papers)Annals of Biomedical Engineering (2 papers)IEEE Access (2 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Kunlin Cao
46 papers receiving 2.4k citations
Kunlin Cao's Hit Papers
Peers
Comparison fields: 5 of 118
- Health Informatics 265
- Radiology, Nuclear Medicine and Imaging 1.5k
- Artificial Intelligence 654
- Radiation 157
- Critical Care and Intensive Care Medicine 69
Countries citing papers authored by Kunlin Cao
This map shows the geographic impact of Kunlin 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 Kunlin Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunlin Cao more than expected).
Fields of papers citing papers by Kunlin Cao
This network shows the impact of papers produced by Kunlin 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 Kunlin Cao. The network helps show where Kunlin Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunlin 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy Hit paper breakdown → | 2020 | 1316 |
| 2 | 2008 | 244 | |
| 3 | 2019 | 174 | |
| 4 | 2011 | 67 | |
| 5 | 2010 | 65 | |
| 6 | 2019 | 62 | |
| 7 | 2012 | 58 | |
| 8 | 2012 | 52 | |
| 9 | 2020 | 39 | |
| 10 | 2019 | 34 | |
| 11 | 2018 | 32 | |
| 12 | 2009 | 32 | |
| 13 | 2007 | 28 | |
| 14 | 2012 | 24 | |
| 15 | 2013 | 23 | |
| 16 | 2019 | 22 | |
| 17 | 2021 | 20 | |
| 18 | 2013 | 20 | |
| 19 | 2013 | 19 | |
| 20 | 2010 | 17 |
About Kunlin Cao
Kunlin Cao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Radiation and Atomic and Molecular Physics, and Optics, having authored 46 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (9 papers), Advanced Radiotherapy Techniques (8 papers), Medical Imaging Techniques and Applications (7 papers), Medical Image Segmentation Techniques (6 papers), Atomic and Subatomic Physics Research (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Neural Network Applications (4 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Health Informatics (265 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Artificial Intelligence (654 citations), Radiation (157 citations) and Critical Care and Intensive Care Medicine (69 citations). Kunlin Cao has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Youbing Yin, Gary E. Christensen, Junjie Bai, Joseph M. Reinhardt, Xin Wang, Kai Ding, Jun Xia, Bin Kong, Yi Lu and Zhenghan Fang. Their work appears in journals such as Medical Physics, Medical Image Analysis, IEEE Transactions on Multimedia, Annals of Biomedical Engineering and IEEE Access.
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.