Hanrui Wu

37 papers and 609 indexed citations i.

About

Hanrui Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hanrui Wu has authored 37 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Hanrui Wu’s work include Domain Adaptation and Few-Shot Learning (18 papers), Multimodal Machine Learning Applications (11 papers) and Advanced Graph Neural Networks (10 papers). Hanrui Wu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (18 papers), Multimodal Machine Learning Applications (11 papers) and Advanced Graph Neural Networks (10 papers). Hanrui Wu collaborates with scholars based in China, Hong Kong and United States. Hanrui Wu's co-authors include Michael K. Ng, Yuguang Yan, Qingyao Wu, Jinyi Long, Jia Zhang, Xiaoming Zhou, Sentao Chen, Mingkui Tan, Qingyao Wu and Huaqing Min and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

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

Fields of papers citing papers by Hanrui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hanrui Wu

Since Specialization
Citations

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