Kai Ma

303 total papers · 5.9k total citations
105 papers, 1.8k citations indexed

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 105 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Artificial Intelligence and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai Ma’s work include AI in cancer detection (12 papers), COVID-19 diagnosis using AI (12 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Kai Ma is often cited by papers focused on AI in cancer detection (12 papers), COVID-19 diagnosis using AI (12 papers) and Radiomics and Machine Learning in Medical Imaging (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, Xinmin Wang, Qingqing Zheng, Huiqi Li, He Zhao, Xiaolin Hong, Guanrong Chen and Weidong Dang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Kai Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Ma. A scholar is included among the top collaborators of Kai Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Ma. Kai Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Kai Ma

95 papers receiving 1.8k citations

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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2026