Qing Cai

11 papers and 697 indexed citations i.

About

Qing Cai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Qing Cai has authored 11 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Qing Cai’s work include Domain Adaptation and Few-Shot Learning (4 papers), Neural Networks and Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Qing Cai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Neural Networks and Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Qing Cai collaborates with scholars based in China, Singapore and Belgium. Qing Cai's co-authors include Marc Brysbaert, Maoguo Gong, Linzhi Su, Hao Li, Jia Liu, Guisong Liu, Xiurui Xie, Licheng Jiao, Zhenkun Wang and A. K. Qin and has published in prestigious journals such as PLoS ONE, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

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

Fields of papers citing papers by Qing Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qing Cai

Since Specialization
Citations

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