Honghan Wu

59 papers and 791 indexed citations i.

About

Honghan Wu is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Honghan Wu has authored 59 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 17 papers in Molecular Biology and 15 papers in Epidemiology. Recurrent topics in Honghan Wu’s work include Machine Learning in Healthcare (18 papers), Biomedical Text Mining and Ontologies (16 papers) and Topic Modeling (12 papers). Honghan Wu is often cited by papers focused on Machine Learning in Healthcare (18 papers), Biomedical Text Mining and Ontologies (16 papers) and Topic Modeling (12 papers). Honghan Wu collaborates with scholars based in United Kingdom, China and Australia. Honghan Wu's co-authors include Richard Dobson, Hang Dong, William Whiteley, Robert Stewart, Zina Ibrahim, Víctor Suárez-Paniagua, Guido Vetere, Jeff Z. Pan, José Manuel Gómez-Pérez and Matthew Broadbent and has published in prestigious journals such as The Lancet, Bioinformatics and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Honghan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Honghan Wu

Since Specialization
Citations

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