Hà Quang Minh

29 papers and 407 indexed citations i.

About

Hà Quang Minh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Hà Quang Minh has authored 29 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Hà Quang Minh’s work include Statistical Mechanics and Entropy (8 papers), Sparse and Compressive Sensing Techniques (5 papers) and Optimal Transport in Geometry and Analysis (5 papers). Hà Quang Minh is often cited by papers focused on Statistical Mechanics and Entropy (8 papers), Sparse and Compressive Sensing Techniques (5 papers) and Optimal Transport in Geometry and Analysis (5 papers). Hà Quang Minh collaborates with scholars based in Italy, Japan and Germany. Hà Quang Minh's co-authors include Vittorio Murino, Loris Bazzani, Gianluigi Pillonetto, Alessandro Chiuso, Marco Cristani, Triet Le, Sung Ha Kang, Alexandre Bernardino, Laurenz Wiskott and Luca Dodero and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Image Processing and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Hà Quang Minh i

Fields of papers citing papers by Hà Quang Minh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hà Quang Minh. 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 Hà Quang Minh. The network helps show where Hà Quang Minh may publish in the future.

Countries citing papers authored by Hà Quang Minh

Since Specialization
Citations

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