Kai Sheng Tai

About

Kai Sheng Tai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Kai Sheng Tai has authored 5 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Kai Sheng Tai’s work include Machine Learning and Data Classification (2 papers), Seismology and Earthquake Studies (1 paper) and Advanced Graph Neural Networks (1 paper). Kai Sheng Tai is often cited by papers focused on Machine Learning and Data Classification (2 papers), Seismology and Earthquake Studies (1 paper) and Advanced Graph Neural Networks (1 paper). Kai Sheng Tai collaborates with scholars based in United States and France. Kai Sheng Tai's co-authors include Richard Socher, Christopher D. Manning, Peter Bailis, Gregory Valiant, Gregory C. Beroza, Weiqiang Zhu, S. Mostafa Mousavi, Jialin Ding and Edward Gan and has published in prestigious journals such as Proceedings of the VLDB Endowment, Journal of Geophysical Research Solid Earth and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Kai Sheng Tai i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Kai Sheng Tai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Sheng Tai

Since Specialization

Citations

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

Explore authors with similar magnitude of impact