Qin Jin

43 papers and 355 indexed citations
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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 43 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Qin Jin’s work include Multimodal Machine Learning Applications (18 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Video Analysis and Summarization (9 papers). Qin Jin is often cited by papers focused on Multimodal Machine Learning Applications (18 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Video Analysis and Summarization (9 papers). Qin Jin collaborates with scholars based in China, United States and Hong Kong. Qin Jin's co-authors include Shizhe Chen, Ruichen Li, Alexander G. Hauptmann, Congying Han, Jia Chen, Tiande Guo, Florian Metze, Susanne Burger, Peter Schulam and Tianfu Wang 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

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Jin. A scholar is included among the top collaborators of Qin Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qin Jin. Qin Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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.

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2026