Jason Yim

4 papers and 19 indexed citations i.

About

Jason Yim is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jason Yim has authored 4 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jason Yim’s work include Machine Learning and Data Classification (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Jason Yim is often cited by papers focused on Machine Learning and Data Classification (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Jason Yim collaborates with scholars based in United States and United Kingdom. Jason Yim's co-authors include Regina Barzilay, H. Stärk, Tommi Jaakkola, Gabriele Corso, Bowen Jing, Andrew T. Campbell, Tom Rainforth, Jim Winkens, Pearse A. Keane and Siegfried K. Wagner and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Wiley Interdisciplinary Reviews Computational Molecular Science and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Jason Yim i

Fields of papers citing papers by Jason Yim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jason Yim

Since Specialization
Citations

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