Na Hong

75 papers and 1.0k indexed citations i.

About

Na Hong is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Na Hong has authored 75 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 23 papers in Artificial Intelligence and 10 papers in Epidemiology. Recurrent topics in Na Hong’s work include Biomedical Text Mining and Ontologies (19 papers), Machine Learning in Healthcare (8 papers) and Semantic Web and Ontologies (6 papers). Na Hong is often cited by papers focused on Biomedical Text Mining and Ontologies (19 papers), Machine Learning in Healthcare (8 papers) and Semantic Web and Ontologies (6 papers). Na Hong collaborates with scholars based in China, United States and Canada. Na Hong's co-authors include K. Andrew White, Guoqian Jiang, Debashish Ray, Marc R. Fabian, Chen Wang, Peter D. Nagy, Hongfang Liu, Andrew Wen, Longxiang Su and Zheng Li and has published in prestigious journals such as Cell, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Na Hong i

Fields of papers citing papers by Na Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Na Hong

Since Specialization
Citations

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