Qin Jin

82 papers and 1.2k indexed citations i.

About

Qin Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Qin Jin has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 18 papers in Signal Processing. Recurrent topics in Qin Jin’s work include Multimodal Machine Learning Applications (40 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Human Pose and Action Recognition (19 papers). Qin Jin is often cited by papers focused on Multimodal Machine Learning Applications (40 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Human Pose and Action Recognition (19 papers). Qin Jin collaborates with scholars based in China, United States and France. Qin Jin's co-authors include Shizhe Chen, Qi Wu, Yida Zhao, Tanja Schultz, Peng Wang, Alexander G. Hauptmann, Jinming Zhao, Jia Chen, Jingwen Hu and Yuqing Song and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Applied Sciences.

In The Last Decade

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

Fields of papers citing papers by Qin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qin Jin

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025