Steven Cao
Impact in
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- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
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- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
Papers in
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- Advanced MRI Techniques and Applications 4
- Advanced Neuroimaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 1
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- Visual Attention and Saliency Detection 2
- Co-authors
- Chunlei Liu (7 shared papers)Hongjiang Wei (6 shared papers)Yuyao Zhang (5 shared papers)Xiaojun Guan (3 shared papers)Megan T. deBettencourt (2 shared papers)Fuhua Yan (1 shared paper)Wilma Bainbridge (2 shared papers)Kristen W. Yeom (1 shared paper)
- Journals
- Magnetic Resonance in Medicine (3 papers)Cognition (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Experimental Neurology (1 paper)NeuroImage (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Steven Cao
13 papers receiving 155 citations
Peers
Comparison fields: 5 of 50
- Radiology, Nuclear Medicine and Imaging 63
- Cognitive Neuroscience 38
- Artificial Intelligence 34
- Neurology 13
- Computer Vision and Pattern Recognition 15
Countries citing papers authored by Steven Cao
This map shows the geographic impact of Steven 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 Steven Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Cao more than expected).
Fields of papers citing papers by Steven Cao
This network shows the impact of papers produced by Steven 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 Steven Cao. The network helps show where Steven Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 42 | |
| 2 | 2022 | 26 | |
| 3 | 2018 | 24 | |
| 4 | 2020 | 14 | |
| 5 | 2020 | 13 | |
| 6 | 2021 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2021 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 1 |
About Steven Cao
Steven Cao is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications, having authored 13 papers that have together received 158 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Memory Processes and Influences (2 papers), Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers), Visual Attention and Saliency Detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (63 citations), Cognitive Neuroscience (38 citations), Artificial Intelligence (34 citations), Neurology (13 citations) and Computer Vision and Pattern Recognition (15 citations). Steven Cao has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Chunlei Liu, Hongjiang Wei, Yuyao Zhang, Xiaojun Guan, Megan T. deBettencourt, Fuhua Yan, Wilma Bainbridge, Kristen W. Yeom, Monica D. Rosenberg and Swanand Kadhe. Their work appears in journals such as Magnetic Resonance in Medicine, Cognition, IEEE Journal of Biomedical and Health Informatics, Experimental Neurology and NeuroImage.
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.