Shiliang Pu

132 papers and 2.7k indexed citations i.

About

Shiliang Pu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Shiliang Pu has authored 132 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computer Vision and Pattern Recognition, 65 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Shiliang Pu’s work include Domain Adaptation and Few-Shot Learning (31 papers), Multimodal Machine Learning Applications (22 papers) and Advanced Neural Network Applications (20 papers). Shiliang Pu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (31 papers), Multimodal Machine Learning Applications (22 papers) and Advanced Neural Network Applications (20 papers). Shiliang Pu collaborates with scholars based in China, United States and Singapore. Shiliang Pu's co-authors include Di Xie, Zhanzhan Cheng, Yueting Zhuang, Yi Niu, Jun Xiao, Qiaoyong Zhong, Shuigeng Zhou, Fei Wu, Long Chen and Hanwang Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Shiliang Pu i

Fields of papers citing papers by Shiliang Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shiliang Pu

Since Specialization
Citations

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