Jean Song

17 papers and 148 indexed citations
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About

Jean Song is a scholar working on Artificial Intelligence, General Health Professions and Computer Science Applications. According to data from OpenAlex, Jean Song has authored 17 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in General Health Professions and 4 papers in Computer Science Applications. Recurrent topics in Jean Song’s work include Health Sciences Research and Education (5 papers), Bioinformatics and Genomic Networks (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Jean Song is often cited by papers focused on Health Sciences Research and Education (5 papers), Bioinformatics and Genomic Networks (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Jean Song collaborates with scholars based in United States, South Korea and United Kingdom. Jean Song's co-authors include Judith Smith, Kyle L. Grazier, John Joon Young Chung, Walter S. Lasecki, Juho Kim, Fan Meng, Sung-Soo Hong, Barbara Mirel, Manhong Dai and Stanley J. Watson and has published in prestigious journals such as BMC Bioinformatics, BMC Genomics and College & Research Libraries.

In The Last Decade

Co-authorship network of co-authors of Jean Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Song. A scholar is included among the top collaborators of Jean Song 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 Jean Song. Jean Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Jean Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jean Song

Since Specialization
Citations

This map shows the geographic impact of Jean Song'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 Jean Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Song 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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2026