Tao Dai

60 papers and 1.4k indexed citations i.

About

Tao Dai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Tao Dai has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 21 papers in Media Technology and 18 papers in Artificial Intelligence. Recurrent topics in Tao Dai’s work include Advanced Image Processing Techniques (18 papers), Image and Signal Denoising Methods (13 papers) and Image Processing Techniques and Applications (13 papers). Tao Dai is often cited by papers focused on Advanced Image Processing Techniques (18 papers), Image and Signal Denoising Methods (13 papers) and Image Processing Techniques and Applications (13 papers). Tao Dai collaborates with scholars based in China, United States and Hong Kong. Tao Dai's co-authors include Shu‐Tao Xia, Jianrui Cai, Lei Zhang, Yongbing Zhang, Bin Chen, Weizhi Lu, Jian Lü, Yong Jiang, Feng Yan and Wei Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Signal Processing.

In The Last Decade

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

Fields of papers citing papers by Tao Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tao Dai

Since Specialization
Citations

This map shows the geographic impact of Tao 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 Tao Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao 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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2025