Chaofan Tao
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Health Informatics top 5%
- Computer Networks and Communications
- Co-authors
- Joseph Y. LoChaofan ChenCynthia RudinFides R. SchwartzAlina Jade BarnettNgai WongLifeng ShangWei Zhang
- Topics
- Domain Adaptation and Few-Shot Learning (5 papers)Topic Modeling (4 papers)Advanced Neural Network Applications (3 papers)
In The Last Decade
Chaofan Tao
10 papers receiving 161 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 122
- Computer Vision and Pattern Recognition 64
- Radiology, Nuclear Medicine and Imaging 30
- Health Informatics 24
- Computer Networks and Communications 7
Countries citing papers authored by Chaofan Tao
This map shows the geographic impact of Chaofan Tao'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 Chaofan Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaofan Tao more than expected).
Fields of papers citing papers by Chaofan Tao
This network shows the impact of papers produced by Chaofan Tao. 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 Chaofan Tao. The network helps show where Chaofan Tao may publish in the future.
Co-authorship network of co-authors of Chaofan Tao
This figure shows the co-authorship network connecting the top 25 collaborators of Chaofan Tao. A scholar is included among the top collaborators of Chaofan Tao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chaofan Tao. Chaofan Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 31 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 82 | |
| 11 | 5 | |
| 12 | 17 |
About Chaofan Tao
Chaofan Tao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Emergency Medicine, having authored 12 papers that have together received 169 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Health Informatics (24 citations), Artificial Intelligence (122 citations) and Computer Vision and Pattern Recognition (64 citations). Chaofan Tao has collaborated with scholars based in Hong Kong, China and Sweden. Frequent co-authors include Joseph Y. Lo, Chaofan Chen, Cynthia Rudin, Fides R. Schwartz, Alina Jade Barnett, Ngai Wong, Lifeng Shang, Wei Zhang, Xin Jiang and Qun Liu. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
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.