Jungo Kasai

38 papers and 453 indexed citations i.

About

Jungo Kasai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jungo Kasai has authored 38 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jungo Kasai’s work include Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers) and Multimodal Machine Learning Applications (11 papers). Jungo Kasai is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers) and Multimodal Machine Learning Applications (11 papers). Jungo Kasai collaborates with scholars based in United States, Japan and Israel. Jungo Kasai's co-authors include Noah A. Smith, Dragomir Radev, Michihiro Yasunaga, Phoebe Mulcaire, Alexander R. Fabbri, Rui Zhang, Hannaneh Hajishirzi, Irene Li, Dan Friedman and James Cross and has published in prestigious journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Cardiovascular Electrophysiology and Circulation Journal.

In The Last Decade

Co-authorship network of co-authors of Jungo Kasai i

Fields of papers citing papers by Jungo Kasai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jungo Kasai

Since Specialization
Citations

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