Hai Pham

9 papers and 285 indexed citations i.

About

Hai Pham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Hai Pham has authored 9 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Hai Pham’s work include Multimodal Machine Learning Applications (4 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (3 papers). Hai Pham is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (3 papers). Hai Pham collaborates with scholars based in United States, United Kingdom and Australia. Hai Pham's co-authors include Barnabás Póczos, Paul Pu Liang, Thomas Manzini, Louis‐Philippe Morency, Ricardo Guerrero, Vladimir Pavlović, Jiatong Li, Ruslan Salakhutdinov, Eduard Hovy and Kang Huang and has published in prestigious journals such as IEEE Transactions on Affective Computing, Journal of Visual Communication and Image Representation and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Hai Pham i

Fields of papers citing papers by Hai Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hai Pham

Since Specialization
Citations

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