Chaofan Tao

46 total papers · 938 total citations
12 papers, 162 citations indexed

About

Chaofan Tao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chaofan Tao has authored 12 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chaofan Tao's work include Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (4 papers) and Advanced Neural Network Applications (3 papers). Chaofan Tao is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (4 papers) and Advanced Neural Network Applications (3 papers). Chaofan Tao collaborates with scholars based in Hong Kong, China and Sweden. Chaofan Tao's co-authors include Joseph Y. Lo, Fides R. Schwartz, Cynthia Rudin, Chaofan Chen, Alina Jade Barnett, Ngai Wong, Lifeng Shang, Ping Luo, Xin Jiang and Wei Zhang and has published in prestigious 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.

In The Last Decade

Chaofan Tao

10 papers receiving 156 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chaofan Tao 117 63 29 23 6 12 162
Maximilian Ilse 92 0.8× 72 1.1× 53 1.8× 17 0.7× 3 0.5× 7 155
Alejandro Mora-Rubio 81 0.7× 93 1.5× 71 2.4× 11 0.5× 5 0.8× 11 249
Anees Kazi 57 0.5× 41 0.7× 34 1.2× 25 1.1× 2 0.3× 12 155
Ayush Shrivastava 97 0.8× 83 1.3× 20 0.7× 3 0.1× 5 0.8× 12 155
Aoxiao Zhong 62 0.5× 60 1.0× 56 1.9× 8 0.3× 15 2.5× 9 158
Minghan Fu 50 0.4× 161 2.6× 40 1.4× 8 0.3× 12 2.0× 12 254
Senan Doyle 43 0.4× 33 0.5× 35 1.2× 11 0.5× 8 1.3× 10 126
Meirui Jiang 155 1.3× 53 0.8× 74 2.6× 25 1.1× 5 0.8× 8 232
Donghun Lee 76 0.6× 16 0.3× 29 1.0× 14 0.6× 7 1.2× 20 126
Bo Liu 141 1.2× 175 2.8× 36 1.2× 11 0.5× 3 0.5× 10 221

Countries citing papers authored by Chaofan Tao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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