Raphael Shu

8 papers and 88 indexed citations i.

About

Raphael Shu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Raphael Shu has authored 8 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Raphael Shu’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Multimodal Machine Learning Applications (4 papers). Raphael Shu is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Multimodal Machine Learning Applications (4 papers). Raphael Shu collaborates with scholars based in Japan, United States and South Sudan. Raphael Shu's co-authors include Hideki Nakayama, Jason Lee, Kyunghyun Cho, Jason Lee, Kyunghyun Cho, Naoaki Okazaki, Yusuke Miyao, Dan Roth, Νικόλαος Παππάς and Saab Mansour and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Raphael Shu i

Fields of papers citing papers by Raphael Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raphael Shu

Since Specialization
Citations

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