Michael Chung

65 papers and 7.0k indexed citations i.

About

Michael Chung is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Michael Chung has authored 65 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Pulmonary and Respiratory Medicine and 10 papers in Molecular Biology. Recurrent topics in Michael Chung’s work include COVID-19 diagnosis using AI (17 papers), COVID-19 Clinical Research Studies (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Michael Chung is often cited by papers focused on COVID-19 diagnosis using AI (17 papers), COVID-19 Clinical Research Studies (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Michael Chung collaborates with scholars based in United States, Italy and Spain. Michael Chung's co-authors include Adam Bernheim, Adam Jacobi, Zahi A. Fayad, Xueyan Mei, Shaolin Li, Mingqian Huang, Yang Yang, Ning Zhang, Hong Shan and Kunwei Li and has published in prestigious journals such as Angewandte Chemie International Edition, Nucleic Acids Research and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Michael Chung i

Fields of papers citing papers by Michael Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Chung

Since Specialization
Citations

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