Jianming Liang

78 papers and 9.8k indexed citations i.

About

Jianming Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jianming Liang has authored 78 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Artificial Intelligence and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jianming Liang’s work include AI in cancer detection (19 papers), COVID-19 diagnosis using AI (18 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Jianming Liang is often cited by papers focused on AI in cancer detection (19 papers), COVID-19 diagnosis using AI (18 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Jianming Liang collaborates with scholars based in United States, China and Germany. Jianming Liang's co-authors include Nima Tajbakhsh, Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Suryakanth Gurudu, Michael B. Gotway, J. Shin, Christopher B. Kendall, R. Todd Hurst, Lei Zhang and K. R. Gurney and has published in prestigious journals such as Nature, Nature Communications and Environmental Science & Technology.

In The Last Decade

Co-authorship network of co-authors of Jianming Liang i

Fields of papers citing papers by Jianming Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jianming Liang

Since Specialization
Citations

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