Lei Tai

21 papers and 1.2k indexed citations i.

About

Lei Tai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Lei Tai has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Aerospace Engineering. Recurrent topics in Lei Tai’s work include Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (6 papers) and Reinforcement Learning in Robotics (6 papers). Lei Tai is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (6 papers) and Reinforcement Learning in Robotics (6 papers). Lei Tai collaborates with scholars based in Hong Kong, China and Germany. Lei Tai's co-authors include Ming Liu, Giuseppe Paolo, Shaohua Li, Kai Sun, Yongjian Chen, Mingyang Li, Wolfram Burgard, Jingwei Zhang, Yun Peng and Peide Cai and has published in prestigious journals such as Journal of Materials Chemistry B, The International Journal of Advanced Manufacturing Technology and IEEE Robotics and Automation Letters.

In The Last Decade

Co-authorship network of co-authors of Lei Tai i

Fields of papers citing papers by Lei Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lei Tai

Since Specialization
Citations

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