Jason J. Lau

About

Jason J. Lau is a scholar working on Molecular Biology, Surgery and Artificial Intelligence. According to data from OpenAlex, Jason J. Lau has authored 10 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Artificial Intelligence. Recurrent topics in Jason J. Lau’s work include Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Jason J. Lau is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Jason J. Lau collaborates with scholars based in United States, Australia and United Kingdom. Jason J. Lau's co-authors include Asma Ben Abacha, Dina Demner‐Fushman, Li Zhou, Paige G. Wickner, Kimberly G. Blumenthal, Diane L. Seger, Foster R. Goss, Joseph M. Plasek, Frank Chang and Ronald J. Cohen and has published in prestigious journals such as Journal of the American Medical Informatics Association, BMJ Open and Annals of Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Jason J. Lau i

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Fields of papers citing papers by Jason J. Lau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason J. Lau. 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 Jason J. Lau. The network helps show where Jason J. Lau may publish in the future.

Countries citing papers authored by Jason J. Lau

Since Specialization

Citations

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