Phuong Dinh Ngo

About

Phuong Dinh Ngo is a scholar working on Artificial Intelligence, Health Information Management and Mechanical Engineering. According to data from OpenAlex, Phuong Dinh Ngo has authored 17 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Health Information Management and 4 papers in Mechanical Engineering. Recurrent topics in Phuong Dinh Ngo’s work include Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare (3 papers) and Diabetes and associated disorders (2 papers). Phuong Dinh Ngo is often cited by papers focused on Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare (3 papers) and Diabetes and associated disorders (2 papers). Phuong Dinh Ngo collaborates with scholars based in Norway, United States and Sweden. Phuong Dinh Ngo's co-authors include Yung C. Shin, Fred Godtliebsen, Maryam Tayefi, Taridzo Chomutare, Andrius Budrionis, Hercules Dalianis, Luis Marco-Ruiz, Miguel Tejedor, Jan Mužík and Leila Ismail and has published in prestigious journals such as International Journal of Environmental Research and Public Health, The International Journal of Advanced Manufacturing Technology and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Phuong Dinh Ngo i

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Fields of papers citing papers by Phuong Dinh Ngo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phuong Dinh Ngo. 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 Phuong Dinh Ngo. The network helps show where Phuong Dinh Ngo may publish in the future.

Countries citing papers authored by Phuong Dinh Ngo

Since Specialization

Citations

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