Pascale Fung

16 papers and 242 indexed citations i.

About

Pascale Fung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Pascale Fung has authored 16 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Pascale Fung’s work include Natural Language Processing Techniques (9 papers), Speech Recognition and Synthesis (8 papers) and Topic Modeling (8 papers). Pascale Fung is often cited by papers focused on Natural Language Processing Techniques (9 papers), Speech Recognition and Synthesis (8 papers) and Topic Modeling (8 papers). Pascale Fung collaborates with scholars based in Hong Kong, United States and Germany. Pascale Fung's co-authors include Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Zihan Liu, Samuel Cahyawijaya, Yan Xu, Tiezheng Yu, Ziwei Ji, Wenliang Dai and Gordon McKay and has published in prestigious journals such as Computational Linguistics, IEEE Transactions on Audio Speech and Language Processing and Chinese Journal of Chemical Engineering.

In The Last Decade

Co-authorship network of co-authors of Pascale Fung i

Fields of papers citing papers by Pascale Fung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pascale Fung

Since Specialization
Citations

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