Jing Qin

150 papers and 1.9k indexed citations i.

About

Jing Qin is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jing Qin has authored 150 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 30 papers in Molecular Biology and 30 papers in Artificial Intelligence. Recurrent topics in Jing Qin’s work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and 3D Shape Modeling and Analysis (10 papers). Jing Qin is often cited by papers focused on AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and 3D Shape Modeling and Analysis (10 papers). Jing Qin collaborates with scholars based in China, Hong Kong and United States. Jing Qin's co-authors include Mingqiang Wei, Qi Dou, Cheng Chen, Hao Chen, Pheng‐Ann Heng, Huisi Wu, Merrill Beckstead, Aiguo Shen, Dapeng Chen and Xuefeng Yan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

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

Fields of papers citing papers by Jing Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Qin

Since Specialization
Citations

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