Shouliang Qi

128 papers and 2.4k indexed citations i.

About

Shouliang Qi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Shouliang Qi has authored 128 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Pulmonary and Respiratory Medicine and 23 papers in Cognitive Neuroscience. Recurrent topics in Shouliang Qi’s work include Radiomics and Machine Learning in Medical Imaging (46 papers), Lung Cancer Diagnosis and Treatment (32 papers) and COVID-19 diagnosis using AI (24 papers). Shouliang Qi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (46 papers), Lung Cancer Diagnosis and Treatment (32 papers) and COVID-19 diagnosis using AI (24 papers). Shouliang Qi collaborates with scholars based in China, United States and Germany. Shouliang Qi's co-authors include Yudong Yao, Wei Qian, Chen Li, Yueyang Teng, Md Mamunur Rahaman, He Ma, Baihua Zhang, Patrice Monkam, Xin Zhao and Frank Kulwa and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Co-authorship network of co-authors of Shouliang Qi i

Fields of papers citing papers by Shouliang Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shouliang Qi

Since Specialization
Citations

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