Aize Cao
Impact in
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- Intensive Care Unit Cognitive Disorders
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
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- Medical Image Segmentation Techniques 11
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- Advanced Clustering Algorithms Research 6
- AI in cancer detection 3
- Co-authors
- Michael I. Miga (6 shared papers)Prashanth Dumpuri (6 shared papers)Ronald L. Cowan (5 shared papers)Reid C. Thompson (5 shared papers)Benoît M. Dawant (5 shared papers)Theodore Speroff (3 shared papers)Siyi Ding (4 shared papers)Xulei Yang (10 shared papers)
- Journals
- IEEE Transactions on Biomedical Engineering (2 papers)Medical Physics (1 paper)Psychopharmacology (1 paper)Pain Research and Management (1 paper)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- United StatesSingaporeUnited Arab Emirates
In The Last Decade
Aize Cao
34 papers receiving 812 citations
Peers
Comparison fields: 5 of 84
- Critical Care and Intensive Care Medicine 111
- Cognitive Neuroscience 167
- Computer Vision and Pattern Recognition 184
- Health Information Management 41
- Emergency Medicine 28
Countries citing papers authored by Aize Cao
This map shows the geographic impact of Aize 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 Aize Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aize Cao more than expected).
Fields of papers citing papers by Aize Cao
This network shows the impact of papers produced by Aize 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 Aize Cao. The network helps show where Aize Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Aize 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 133 | |
| 2 | 2013 | 80 | |
| 3 | 2013 | 65 | |
| 4 | 2012 | 63 | |
| 5 | 2008 | 53 | |
| 6 | 2012 | 50 | |
| 7 | 2019 | 48 | |
| 8 | 2014 | 39 | |
| 9 | 2010 | 37 | |
| 10 | 2017 | 37 | |
| 11 | 2019 | 32 | |
| 12 | 2008 | 29 | |
| 13 | 2007 | 27 | |
| 14 | 2007 | 25 | |
| 15 | 2019 | 19 | |
| 16 | 2011 | 18 | |
| 17 | 2005 | 13 | |
| 18 | 2004 | 11 | |
| 19 | 2012 | 11 | |
| 20 | 2006 | 9 |
About Aize Cao
Aize Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Hepatology, Cognitive Neuroscience and Clinical Psychology, having authored 36 papers that have together received 857 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Advanced Clustering Algorithms Research (6 papers), AI in cancer detection (3 papers), Liver Disease and Transplantation (2 papers), Psychedelics and Drug Studies (2 papers), Autism Spectrum Disorder Research (2 papers), Reading and Literacy Development (1 paper) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (111 citations), Cognitive Neuroscience (167 citations), Computer Vision and Pattern Recognition (184 citations), Health Information Management (41 citations) and Emergency Medicine (28 citations). Aize Cao has collaborated with scholars based in United States, Singapore and United Arab Emirates. Frequent co-authors include Michael I. Miga, Prashanth Dumpuri, Ronald L. Cowan, Reid C. Thompson, Benoît M. Dawant, Theodore Speroff, Siyi Ding, Xulei Yang, Margaret M. Benningfield and Qing Song. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Medical Physics, Psychopharmacology, Pain Research and Management and Artificial Intelligence in Medicine.
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.