Chung‐Ming Lo

58 papers and 1.0k indexed citations i.

About

Chung‐Ming Lo is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chung‐Ming Lo has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Artificial Intelligence and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chung‐Ming Lo’s work include AI in cancer detection (22 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Ultrasound Imaging and Elastography (8 papers). Chung‐Ming Lo is often cited by papers focused on AI in cancer detection (22 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Ultrasound Imaging and Elastography (8 papers). Chung‐Ming Lo collaborates with scholars based in Taiwan, South Korea and United States. Chung‐Ming Lo's co-authors include Ruey‐Feng Chang, Kevin Li‐Chun Hsieh, Chiun‐Sheng Huang, Jeon‐Hor Chen, Woo Kyung Moon, Jung Min Chang, Yeun‐Chung Chang, Cheng‐Yu Chen, Honghao Chen and Ya‐Wen Yang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Medical Imaging and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Chung‐Ming Lo i

Fields of papers citing papers by Chung‐Ming Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chung‐Ming Lo

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025