Kai Ma

104 papers and 2.0k indexed citations i.

About

Kai Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai Ma has authored 104 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Artificial Intelligence and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai Ma’s work include Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (14 papers) and COVID-19 diagnosis using AI (12 papers). Kai Ma is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (14 papers) and COVID-19 diagnosis using AI (12 papers). Kai Ma collaborates with scholars based in China, Hong Kong and United States. Kai Ma's co-authors include Yefeng Zheng, Zhongke Gao, Yuexiang Li, Shuang Yu, Xinmin Wang, Qingqing Zheng, Huiqi Li, He Zhao, Weidong Dang and Guanrong Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Kai Ma i

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Fields of papers citing papers by Kai Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Ma

Since Specialization

Citations

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