Calvin S. H. Hoi

About

Calvin S. H. Hoi is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Management Science and Operations Research. According to data from OpenAlex, Calvin S. H. Hoi has authored 6 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Management Science and Operations Research. Recurrent topics in Calvin S. H. Hoi’s work include COVID-19 diagnosis using AI (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Artificial Intelligence in Healthcare (2 papers). Calvin S. H. Hoi is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Artificial Intelligence in Healthcare (2 papers). Calvin S. H. Hoi collaborates with scholars based in Canada and Italy. Calvin S. H. Hoi's co-authors include Carson K. Leung, Alfredo Cuzzocrea, Yubo Chen, Siyuan Shang and Adam G.M. Pazdor and has published in prestigious journals such as 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2022 International Joint Conference on Neural Networks (IJCNN) and 2021 IEEE International Conference on Big Data (Big Data).

In The Last Decade

Co-authorship network of co-authors of Calvin S. H. Hoi i

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Fields of papers citing papers by Calvin S. H. Hoi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Calvin S. H. Hoi. 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 Calvin S. H. Hoi. The network helps show where Calvin S. H. Hoi may publish in the future.

Countries citing papers authored by Calvin S. H. Hoi

Since Specialization

Citations

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