Li-Rong Dai

214 papers and 4.0k indexed citations i.

About

Li-Rong Dai is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Li-Rong Dai has authored 214 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Artificial Intelligence, 149 papers in Signal Processing and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Li-Rong Dai’s work include Speech Recognition and Synthesis (141 papers), Speech and Audio Processing (137 papers) and Music and Audio Processing (97 papers). Li-Rong Dai is often cited by papers focused on Speech Recognition and Synthesis (141 papers), Speech and Audio Processing (137 papers) and Music and Audio Processing (97 papers). Li-Rong Dai collaborates with scholars based in China, United States and United Kingdom. Li-Rong Dai's co-authors include Jun Du, Chin‐Hui Lee, Yong Xu, Zhen-Hua Ling, Yan Song, Ian McLoughlin, Jianshu Zhang, Lijuan Liu, Ling-Hui Chen and Wu Guo and has published in prestigious journals such as PLoS ONE, British Journal Of Nutrition and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Li-Rong Dai i

Fields of papers citing papers by Li-Rong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Li-Rong Dai

Since Specialization
Citations

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