Dinh Phung

205 papers and 4.6k indexed citations i.

About

Dinh Phung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Dinh Phung has authored 205 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Artificial Intelligence, 76 papers in Computer Vision and Pattern Recognition and 34 papers in Signal Processing. Recurrent topics in Dinh Phung’s work include Domain Adaptation and Few-Shot Learning (27 papers), Topic Modeling (26 papers) and Anomaly Detection Techniques and Applications (19 papers). Dinh Phung is often cited by papers focused on Domain Adaptation and Few-Shot Learning (27 papers), Topic Modeling (26 papers) and Anomaly Detection Techniques and Applications (19 papers). Dinh Phung collaborates with scholars based in Australia, United States and Vietnam. Dinh Phung's co-authors include Svetha Venkatesh, Truyen Tran, Ba‐Ngu Vo, Ba-Tuong Vo, Tu Dinh Nguyen, Hung Bui, Wei Luo, Sunil Gupta, Michael Berk and Thin Nguyen and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of Dinh Phung i

Fields of papers citing papers by Dinh Phung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dinh Phung

Since Specialization
Citations

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