Can Qin

44 papers and 483 indexed citations i.

About

Can Qin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Can Qin has authored 44 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Can Qin’s work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Integrated Energy Systems Optimization (5 papers). Can Qin is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Integrated Energy Systems Optimization (5 papers). Can Qin collaborates with scholars based in United States, China and Mexico. Can Qin's co-authors include Yun Fu, Yulun Zhang, Lichen Wang, Huan Wang, Yue Wu, Wenping Ma, Qiguang Miao, Wei Lu, Changyu Deng and Xiangrong Zhang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Agricultural and Food Chemistry.

In The Last Decade

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

Fields of papers citing papers by Can Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Can Qin

Since Specialization
Citations

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