Paul Pu Liang

About

Paul Pu Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Paul Pu Liang has authored 43 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Paul Pu Liang’s work include Topic Modeling (19 papers), Multimodal Machine Learning Applications (14 papers) and Natural Language Processing Techniques (9 papers). Paul Pu Liang is often cited by papers focused on Topic Modeling (19 papers), Multimodal Machine Learning Applications (14 papers) and Natural Language Processing Techniques (9 papers). Paul Pu Liang collaborates with scholars based in United States, Singapore and China. Paul Pu Liang's co-authors include Louis‐Philippe Morency, Soujanya Poria, Erik Cambria, AmirAli Bagher Zadeh, Amir Zadeh, Ruslan Salakhutdinov, Zhun Liu, Yao-Hung Hubert Tsai, Shaojie Bai and J. Zico Kolter and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Vehicular Technology and Information Fusion.

In The Last Decade

Co-authorship network of co-authors of Paul Pu Liang i

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Fields of papers citing papers by Paul Pu Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Pu Liang. 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 Paul Pu Liang. The network helps show where Paul Pu Liang may publish in the future.

Countries citing papers authored by Paul Pu Liang

Since Specialization

Citations

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