Bi-Ru Dai

11 papers and 132 indexed citations i.

About

Bi-Ru Dai is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Bi-Ru Dai has authored 11 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Signal Processing and 5 papers in Information Systems. Recurrent topics in Bi-Ru Dai’s work include Data Mining Algorithms and Applications (4 papers), Time Series Analysis and Forecasting (3 papers) and Advanced Clustering Algorithms Research (3 papers). Bi-Ru Dai is often cited by papers focused on Data Mining Algorithms and Applications (4 papers), Time Series Analysis and Forecasting (3 papers) and Advanced Clustering Algorithms Research (3 papers). Bi-Ru Dai collaborates with scholars based in Taiwan and India. Bi-Ru Dai's co-authors include Ming-Syan Chen⋆, Mi-Yen Yeh, Jen-Wei Huang, Vishal Sharma, Kai‐Lung Hua, Kathiravan Srinivasan, Kuo‐Liang Chung, Yong-Huai Huang and Cheng-Ru Lin and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and Knowledge and Information Systems.

In The Last Decade

Co-authorship network of co-authors of Bi-Ru Dai i

Fields of papers citing papers by Bi-Ru Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bi-Ru Dai

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025