Qing Zeng‐Treitler

103 papers and 1.9k indexed citations i.

About

Qing Zeng‐Treitler is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Qing Zeng‐Treitler has authored 103 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 24 papers in Molecular Biology and 23 papers in General Health Professions. Recurrent topics in Qing Zeng‐Treitler’s work include Biomedical Text Mining and Ontologies (24 papers), Machine Learning in Healthcare (19 papers) and Health Literacy and Information Accessibility (14 papers). Qing Zeng‐Treitler is often cited by papers focused on Biomedical Text Mining and Ontologies (24 papers), Machine Learning in Healthcare (19 papers) and Health Literacy and Information Accessibility (14 papers). Qing Zeng‐Treitler collaborates with scholars based in United States, Chile and Germany. Qing Zeng‐Treitler's co-authors include Sasikiran Kandula, Rosa L. Figueroa, Long Ngo, Hyeoneui Kim, Sergey Goryachev, Bruce E. Bray, Ana Keselman, Catherine Arnott Smith, Alla Keselman and Gondy Leroy and has published in prestigious journals such as The American Journal of Medicine, Medical Care and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Qing Zeng‐Treitler i

Fields of papers citing papers by Qing Zeng‐Treitler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing Zeng‐Treitler. 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 Qing Zeng‐Treitler. The network helps show where Qing Zeng‐Treitler may publish in the future.

Countries citing papers authored by Qing Zeng‐Treitler

Since Specialization
Citations

This map shows the geographic impact of Qing Zeng‐Treitler'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 Qing Zeng‐Treitler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Zeng‐Treitler 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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2025