Bo Dai

About

Bo Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Bo Dai has authored 42 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Bo Dai’s work include Domain Adaptation and Few-Shot Learning (8 papers), Human Pose and Action Recognition (8 papers) and Advanced Neural Network Applications (7 papers). Bo Dai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Human Pose and Action Recognition (8 papers) and Advanced Neural Network Applications (7 papers). Bo Dai collaborates with scholars based in United States, China and Hong Kong. Bo Dai's co-authors include Dahua Lin, Yue Zhao, Haodong Duan, Kai Chen, Dongxiang Zhang, Loo Hay Lee, Wang Yuan, Ying Liu, Le Song and Hanjun Dai and has published in prestigious journals such as Analytical Biochemistry, Chemical Engineering Science and Transportation Research Part C Emerging Technologies.

In The Last Decade

Co-authorship network of co-authors of Bo Dai i

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Fields of papers citing papers by Bo Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo Dai. 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 Bo Dai. The network helps show where Bo Dai may publish in the future.

Countries citing papers authored by Bo Dai

Since Specialization

Citations

This map shows the geographic impact of Bo Dai'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 Bo Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Dai more than expected).

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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