Qing Jin

10 papers and 212 indexed citations i.

About

Qing Jin is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Qing Jin has authored 10 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Qing Jin’s work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Qing Jin is often cited by papers focused on Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Qing Jin collaborates with scholars based in United States, Mexico and China. Qing Jin's co-authors include Linjie Yang, Zhenyu Liao, Yanzhi Wang, Kaiyuan Yang, Zhanghao Yu, Sheng Lin, Jingyu Wang, Geng Yuan, Oliver J. Woodford and Jian Ren and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

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

Fields of papers citing papers by Qing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qing Jin

Since Specialization
Citations

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