Kaman Chung

12 papers and 637 indexed citations i.

About

Kaman Chung is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kaman Chung has authored 12 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Kaman Chung’s work include Lung Cancer Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Lung Cancer Treatments and Mutations (5 papers). Kaman Chung is often cited by papers focused on Lung Cancer Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Lung Cancer Treatments and Mutations (5 papers). Kaman Chung collaborates with scholars based in The Netherlands, Italy and United States. Kaman Chung's co-authors include Bram van Ginneken, Ernst T. Scholten, Mathias Prokop, Francesco Ciompi, Sarah J. van Riel, Colin Jacobs, Pim A. de Jong, Cornelia Schaefer‐Prokop, Arnaud A. A. Setio and Paul K. Gerke and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

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

Fields of papers citing papers by Kaman Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaman Chung

Since Specialization
Citations

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