Amanda M. Y. Chu

60 papers and 772 indexed citations i.

About

Amanda M. Y. Chu is a scholar working on Economics and Econometrics, Finance and Modeling and Simulation. According to data from OpenAlex, Amanda M. Y. Chu has authored 60 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 11 papers in Finance and 10 papers in Modeling and Simulation. Recurrent topics in Amanda M. Y. Chu’s work include COVID-19 epidemiological studies (10 papers), Complex Network Analysis Techniques (7 papers) and COVID-19 Pandemic Impacts (6 papers). Amanda M. Y. Chu is often cited by papers focused on COVID-19 epidemiological studies (10 papers), Complex Network Analysis Techniques (7 papers) and COVID-19 Pandemic Impacts (6 papers). Amanda M. Y. Chu collaborates with scholars based in Hong Kong, China and Taiwan. Amanda M. Y. Chu's co-authors include Mike K. P. So, Agnes Tiwari, Wing‐Keung Wong, Patrick Y.K. Chau, Benson S. Y. Lam, Michael McAleer, Connie Liu, Anne Mueller, Jani O’Rourke and Pauline Chu and has published in prestigious journals such as PLoS ONE, Scientific Reports and American Journal Of Pathology.

In The Last Decade

Co-authorship network of co-authors of Amanda M. Y. Chu i

Fields of papers citing papers by Amanda M. Y. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda M. Y. Chu. 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 Amanda M. Y. Chu. The network helps show where Amanda M. Y. Chu may publish in the future.

Countries citing papers authored by Amanda M. Y. Chu

Since Specialization
Citations

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