Jonathan Huang

About

Jonathan Huang is a scholar working on Artificial Intelligence, Surgery and Epidemiology. According to data from OpenAlex, Jonathan Huang has authored 57 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Surgery and 8 papers in Epidemiology. Recurrent topics in Jonathan Huang’s work include Bayesian Modeling and Causal Inference (7 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Music and Audio Processing (4 papers). Jonathan Huang is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Music and Audio Processing (4 papers). Jonathan Huang collaborates with scholars based in United States, Taiwan and China. Jonathan Huang's co-authors include Leonidas Guibas, Chris Piech, Surya Ganguli, Jascha Sohl‐Dickstein, Mehran Sahami, Carlos Guestrin, Mozziyar Etemadi, Mohammad R. Seyedsayamdost, Nicole Hauser and Nathan A. Shlobin and has published in prestigious journals such as Nature, Journal of Hepatology and Magnetic Resonance in Medicine.

In The Last Decade

Co-authorship network of co-authors of Jonathan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Huang. A scholar is included among the top collaborators of Jonathan Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Huang. Jonathan Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Jonathan Huang

48 papers receiving 844 citations

Fields of papers citing papers by Jonathan Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jonathan Huang

Since Specialization

Citations

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