Bing Tian Dai

33 papers and 824 indexed citations i.

About

Bing Tian Dai is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Bing Tian Dai has authored 33 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Molecular Biology. Recurrent topics in Bing Tian Dai’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Advanced Clustering Algorithms Research (3 papers). Bing Tian Dai is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Advanced Clustering Algorithms Research (3 papers). Bing Tian Dai collaborates with scholars based in Singapore, China and United States. Bing Tian Dai's co-authors include Margaret‐Anne Storey, Nigam H. Shah, Natasha Noy, Niall Griffith, Daniel L. Rubin, Patricia L. Whetzel, Clément Jonquet, Christopher G. Chute, Michael C. Dorf and Mark A. Musen and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Bing Tian Dai i

Fields of papers citing papers by Bing Tian Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bing Tian Dai

Since Specialization
Citations

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