Saint Francis University

475 papers and 6.2k indexed citations i.

About

In recent decades, authors affiliated with Saint Francis University have published 475 papers, which have received a total of 6.2k indexed citations. Scholars at this organization have produced 72 papers in Clinical Psychology, 71 papers in Sociology and Political Science and 56 papers in Computer Vision and Pattern Recognition on the topics of COVID-19 and Mental Health (22 papers), Customer Service Quality and Loyalty (21 papers) and Social Work Education and Practice (19 papers). Their work is cited by papers focused on Sociology and Political Science (990 citations), Biomaterials (799 citations) and Artificial Intelligence (577 citations). Authors at Saint Francis University collaborate with scholars in Hong Kong, China and Australia and have published in prestigious journals including Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence. Some of Saint Francis University's most productive authors include Ivan Ka Wai Lai, Michael Hitchcock, S. W. Annie Bligh, Deng‐Guang Yu, Fu Lee Wang, Menglong Wang, Haoran Xie, Yaoyao Yang, Gareth R. Williams and Angela Yee Man Leung.

In The Last Decade

Fields of papers published by authors at Saint Francis University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Saint Francis University at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Saint Francis University at the time of their publication.

Countries citing scholars working at Saint Francis University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Saint Francis University. 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 papers produced at Saint Francis University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saint Francis University 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