Nan Pu

26 papers and 281 indexed citations i.

About

Nan Pu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Urban Studies. According to data from OpenAlex, Nan Pu has authored 26 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 2 papers in Urban Studies. Recurrent topics in Nan Pu’s work include Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (12 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Nan Pu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (12 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Nan Pu collaborates with scholars based in China, The Netherlands and Italy. Nan Pu's co-authors include Michael S. Lew, Erwin M. Bakker, Yu Liu, Nicu Sebe, Zhun Zhong, Wei Chen, Wei Chen, Yu Liu, Hanzhou Wu and Michael S. Lew and has published in prestigious journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Nan Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nan Pu

Since Specialization
Citations

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