Jing Ke

48 papers and 351 indexed citations i.

About

Jing Ke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jing Ke has authored 48 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jing Ke’s work include AI in cancer detection (21 papers), Digital Imaging for Blood Diseases (11 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Jing Ke is often cited by papers focused on AI in cancer detection (21 papers), Digital Imaging for Blood Diseases (11 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Jing Ke collaborates with scholars based in China, Australia and United States. Jing Ke's co-authors include Yiqing Shen, Yizhou Lu, Bo Li, Dinggang Shen, Lin Shen, Jingjing Chang, Indira Prasadam, Richard J. Miron, Yufeng Zhang and Chengtie Wu and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Journal of Dental Research and Journal of Non-Crystalline Solids.

In The Last Decade

Co-authorship network of co-authors of Jing Ke i

Fields of papers citing papers by Jing Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Ke

Since Specialization
Citations

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