Stephen Wu

40 papers and 1.1k indexed citations i.

About

Stephen Wu is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Stephen Wu has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 24 papers in Molecular Biology and 3 papers in General Health Professions. Recurrent topics in Stephen Wu’s work include Biomedical Text Mining and Ontologies (22 papers), Topic Modeling (19 papers) and Natural Language Processing Techniques (12 papers). Stephen Wu is often cited by papers focused on Biomedical Text Mining and Ontologies (22 papers), Topic Modeling (19 papers) and Natural Language Processing Techniques (12 papers). Stephen Wu collaborates with scholars based in United States, China and Japan. Stephen Wu's co-authors include Hua Xu, Sunghwan Sohn, Siddhartha Jonnalagadda, Hongfang Liu, Qiang Wei, Zongcheng Ji, Jingcheng Du, Yang Xiang, Christopher G. Chute and Kavishwar B. Wagholikar and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and American Journal of Public Health.

In The Last Decade

Co-authorship network of co-authors of Stephen Wu i

Fields of papers citing papers by Stephen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stephen Wu

Since Specialization
Citations

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