Qingyao Wu

97 papers and 2.4k indexed citations i.

About

Qingyao Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Qingyao Wu has authored 97 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 53 papers in Computer Vision and Pattern Recognition and 15 papers in Molecular Biology. Recurrent topics in Qingyao Wu’s work include Domain Adaptation and Few-Shot Learning (28 papers), Multimodal Machine Learning Applications (22 papers) and Text and Document Classification Technologies (14 papers). Qingyao Wu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (28 papers), Multimodal Machine Learning Applications (22 papers) and Text and Document Classification Technologies (14 papers). Qingyao Wu collaborates with scholars based in China, Hong Kong and Singapore. Qingyao Wu's co-authors include Michael K. Ng, Mingkui Tan, Yunming Ye, Guosheng Lin, Yuguang Yan, Hanrui Wu, Joshua Zhexue Huang, Xutao Li, Yong Guo and Huaqing Min and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Applied Energy.

In The Last Decade

Co-authorship network of co-authors of Qingyao Wu i

Fields of papers citing papers by Qingyao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qingyao Wu

Since Specialization
Citations

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