Jing Qin

451 papers and 13.2k indexed citations i.

About

Jing Qin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Jing Qin has authored 451 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Computer Vision and Pattern Recognition, 72 papers in Artificial Intelligence and 65 papers in Computational Mechanics. Recurrent topics in Jing Qin’s work include Medical Image Segmentation Techniques (41 papers), Advanced Neural Network Applications (37 papers) and AI in cancer detection (37 papers). Jing Qin is often cited by papers focused on Medical Image Segmentation Techniques (41 papers), Advanced Neural Network Applications (37 papers) and AI in cancer detection (37 papers). Jing Qin collaborates with scholars based in China, Hong Kong and United States. Jing Qin's co-authors include Pheng‐Ann Heng, Hao Chen, Qi Dou, Lequan Yu, Dong Ni, Xin Yang, Baiying Lei, Tianfu Wang, Chi‐Wing Fu and Xiaowei Hu and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Nanotechnology.

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