Po-Sen Huang

31 papers and 531 indexed citations i.

About

Po-Sen Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Po-Sen Huang has authored 31 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Po-Sen Huang’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (7 papers). Po-Sen Huang is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (7 papers). Po-Sen Huang collaborates with scholars based in United States, United Kingdom and China. Po-Sen Huang's co-authors include Pushmeet Kohli, Li Deng, Jianfeng Gao, Robert Stanforth, Johannes Welbl, Xiaodong He, Yelong Shen, Sven Gowal, Dani Yogatama and Weizhu Chen and has published in prestigious journals such as Personal and Ubiquitous Computing, Frontiers in Bioscience-Landmark and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Po-Sen Huang i

Fields of papers citing papers by Po-Sen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po-Sen Huang. 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 Po-Sen Huang. The network helps show where Po-Sen Huang may publish in the future.

Countries citing papers authored by Po-Sen Huang

Since Specialization
Citations

This map shows the geographic impact of Po-Sen Huang'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 Po-Sen Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po-Sen Huang 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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2025